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1
Barnes, W. L., X. Xiong, and V. V. Salomonson. "Status of terra MODIS and aqua modis." Advances in Space Research 32, no. 11 (2003): 2099–106. http://dx.doi.org/10.1016/s0273-1177(03)90529-1.
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Varestefanica, Josephira Anna, I. Made Yuliara, I. Wayan Andi Yuda, et al. "Comparative Analysis of Sentinel-3 and Terra MODIS Satellite Images for Air Temperature Observation in Denpasar Area." Asian Journal of Research and Reviews in Physics 7, no. 3 (2023): 15–24. http://dx.doi.org/10.9734/ajr2p/2023/v7i3141.
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This study evaluates the air temperature products of Sentinel-3 and Terra MODIS satellite images, with the aim of determining the comparison results of Sentinel-3 and Terra MODIS satellite images for air temperature observations, and also to determine the minimum and maximum temperatures of the Denpasar area obtained using satellite images. Correlation relationship analysis and Root Mean Square Error (RMSE) were used to investigate the correlation and the degree of accuracy between the air temperature of satellite imagery and the air temperature of field observations. The results showed that Terra MODIS satellite imagery has better accuracy to BMKG air temperature compared to Sentinel-3 satellite imagery. Terra MODIS imagery has a correlation coefficient value of 0.95 and an RMSE value of 0.51, while Sentinel-3 satellite imagery has a correlation coefficient value of 0.78 and an RMSE value of 0.93, so it can be noted that Terra MODIS satellite images are better used in air temperature observations than Sentinel-3 satellite images. The results also showed that the minimum temperature detected by Sentinel-3 satellite images from 32 observations was 9.51°C on September 23, 2021 and the maximum temperature was 41.50°C on April 14, 2021. Meanwhile, in Terra MODIS satellite images from 32 observations, the minimum temperature was 20.57°C on September 23, 2021 and the maximum temperature was 37.08 on April 16, 2021.
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Zhukov, A. A., and E. Y. Zhukova. "Restored vegetation productivity dynamics at surface coal mine «Chernogorsky» by satellite data Terra/MODIS." Forestry Bulletin 27, no. 2 (2023): 96–103. http://dx.doi.org/10.18698/2542-1468-2023-2-96-103.
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The main patterns of long-term and seasonal dynamics of productivity, leaf area index and evapotranspiration of plant communities on recultivated dumps of the open surface coal mine «Chernogorsky» in the period from 2001 to 2021 according to Terra/MODIS satellite data were revealed. A positive trend in the development of vegetation on the dumps was revealed. Productivity and leaf area index of phytocenoses correlate. Terra/MODIS data underestimate the real phytomass.
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Saleh, Ali K., and Bader S. Al-Anzi. "Statistical Validation of MODIS-Based Sea Surface Temperature in Shallow Semi-Enclosed Marginal Sea: A Comparison between Direct Matchup and Triple Collocation." Water 13, no. 8 (2021): 1078. http://dx.doi.org/10.3390/w13081078.
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Validating remotely sensed sea surface temperature (SST) is a fundamental step in establishing reliable biological/physical models that can be used in different marine applications. Mapping SST using accurate models would assess in understanding critical mechanisms of marine and coastal zones, such as water circulations and biotic activities. This study set out to validate MODIS SSTs with a spatial resolution of 1-km in the Arabian Gulf (24–30° N, 48–57° E) and to assess how well direct comparison of dual matchups and triple collocation analyses perform. For the matchup process, three data sets, MODIS-Aqua, MODIS-Terra, and iQuam, were co-located and extracted for 1-pixel box centered at each actual in situ measurement location with a time difference window restricted to a maximum of ±3 h of the satellite overpass. Over the period July 2002 to May 2020, the MODIS SSTs (N = 3786 triplets) exhibited a slight cool night-time bias compared to iQuam SSTs, with a mean ± SD of −0.36 ± 0.77 °C for Aqua and −0.27 ± 0.83 °C for Terra. Daytime MODIS SST observations (N = 5186 triplets) had a lower negative bias for both Aqua (Bias = −0.052 °C, SD = 0.93 °C) and Terra (Bias = −0.24 °C, SD = 0.90 °C). Using extended triple collocation analysis, the statistical validation of system- and model-based products against in situ-based product indicated the highest ETC-based determination coefficients (ρt,X2 ≥ 0.98) with the lowest error variances (σε2 ≤ 0.32), whereas direct comparison underestimated the determination coefficients and overestimated the error estimates for all MODIS algorithms. The ETC-based error variances for MODIS Aqua/Terra NLSSTs were 0.25/0.19 and 0.26/0.32 in daytime and night-time, respectively. In addition, MODIS-Aqua was relatively more sensitive to the SST signal than MODIS-Terra at night and vice versa as seen in the unbiased signal-to-noise ratios for all observation types.
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Shi, Y., J. Zhang, J. S. Reid, B. Holben, E. J. Hyer, and C. Curtis. "An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation." Atmospheric Chemistry and Physics 11, no. 2 (2011): 557–65. http://dx.doi.org/10.5194/acp-11-557-2011.
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Abstract. As an update to our previous use of the collection 4 Moderate Resolution Imaging Spectroradiometer (MODIS) over-ocean aerosol optical depth (AOD) data, we examined ten years of Terra and eight years of Aqua collection 5 data for its potential usage in aerosol assimilation. Uncertainties in the over-ocean MODIS AOD were studied as functions of observing conditions, such as surface characteristics, aerosol optical properties, and cloud artifacts. Empirical corrections and quality assurance procedures were developed and compared to collection 4 data. After applying these procedures, the Root-Mean-Square-Error (RMSE) in the MODIS Terra and Aqua AOD are reduced by 30% and 10–20%, respectively, with respect to AERONET data. Ten years of Terra and eight years of Aqua quality-assured level 3 MODIS over-ocean aerosol products were produced. The newly developed MODIS over-ocean aerosol products will be used in operational aerosol assimilation and aerosol climatology studies, as well as other research based on MODIS products.
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McPhetres, Alyson, and Srijan Aggarwal. "An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska." Remote Sensing 10, no. 9 (2018): 1384. http://dx.doi.org/10.3390/rs10091384.
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The air quality monitoring network in Alaska is currently limited to ground-based observations in urban areas and national parks, leaving a large proportion of the state unmonitored. The use of Moderate Resolution Imaging Spectroradiometer MODIS aerosol optical depth (AOD) to estimate ground-level particulate pollution concentrations has been successfully demonstrated around the world and could potentially be used in Alaska. In this work, MODIS AOD measurements at 550 nm were validated against AOD derived from two ground-based Aerosol Robotic Network (AERONET) sunphotometers in Alaska, located at Utqiagvik (previously known as Barrow) and Bonanza Creek, to determine if MODIS AOD from the Terra and Aqua satellites could be used to estimate ground-level particulate pollution concentrations. The MODIS AOD was obtained from MODIS collection 6 using the dark target Land and Ocean algorithms from years 2000 to 2014. MODIS data could only be obtained between the months of April and October; therefore, it was only evaluated for those months. Individual and combined Terra and Aqua MODIS data were considered. The results showed that MODIS collection 6 products at 10-km resolution for Terra and Aqua combined are not valid over land but are valid over the ocean. Note that the individual Terra and Aqua MODIS collection 6 AOD products at 10-km resolution are valid over land individually but not when combined. Results also suggest the MODIS collection 6 AOD products at 3-km resolution are valid over land and ocean and perform better over land than the 10-km product. These findings indicate that MODIS collection 6 AOD products can be used quantitatively in air quality applications in Alaska during the summer months.
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Lyapustin, A., Y. Wang, X. Xiong, et al. "Scientific impact of MODIS C5 calibration degradation and C6+ improvements." Atmospheric Measurement Techniques 7, no. 12 (2014): 4353–65. http://dx.doi.org/10.5194/amt-7-4353-2014.
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Abstract. The Collection 6 (C6) MODIS (Moderate Resolution Imaging Spectroradiometer) land and atmosphere data sets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra and, to lesser extent, in MODIS Aqua geophysical data sets. Sensor degradation is largest in the blue band (B3) of the MODIS sensor on Terra and decreases with wavelength. Calibration degradation causes negative global trends in multiple MODIS C5 products including the dark target algorithm's aerosol optical depth over land and Ångström exponent over the ocean, global liquid water and ice cloud optical thickness, as well as surface reflectance and vegetation indices, including the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). As the C5 production will be maintained for another year in parallel with C6, one objective of this paper is to raise awareness of the calibration-related trends for the broad MODIS user community. The new C6 calibration approach removes major calibrations trends in the Level 1B (L1B) data. This paper also introduces an enhanced C6+ calibration of the MODIS data set which includes an additional polarization correction (PC) to compensate for the increased polarization sensitivity of MODIS Terra since about 2007, as well as detrending and Terra–Aqua cross-calibration over quasi-stable desert calibration sites. The PC algorithm, developed by the MODIS ocean biology processing group (OBPG), removes residual scan angle, mirror side and seasonal biases from aerosol and surface reflectance (SR) records along with spectral distortions of SR. Using the multiangle implementation of atmospheric correction (MAIAC) algorithm over deserts, we have also developed a detrending and cross-calibration method which removes residual decadal trends on the order of several tenths of 1% of the top-of-atmosphere (TOA) reflectance in the visible and near-infrared MODIS bands B1–B4, and provides a good consistency between the two MODIS sensors. MAIAC analysis over the southern USA shows that the C6+ approach removed an additional negative decadal trend of Terra ΔNDVI ~ 0.01 as compared to Aqua data. This change is particularly important for analysis of vegetation dynamics and trends in the tropics, e.g., Amazon rainforest, where the morning orbit of Terra provides considerably more cloud-free observations compared to the afternoon Aqua measurements.
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Lyapustin, A., Y. Wang, X. Xiong, et al. "Science impact of MODIS C5 calibration degradation and C6+ improvements." Atmospheric Measurement Techniques Discussions 7, no. 7 (2014): 7281–319. http://dx.doi.org/10.5194/amtd-7-7281-2014.
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Abstract. The Collection 6 (C6) MODIS land and atmosphere datasets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra, and to lesser extent, in MODIS Aqua geophysical datasets. Sensor degradation is largest in the Blue band (B3) of the MODIS sensor on Terra and decreases with wavelength. Calibration degradation causes negative global trends in multiple MODIS C5 products including the dark target algorithm's aerosol optical depth over land and Ångström Exponent over the ocean, global liquid water and ice cloud optical thickness, as well as surface reflectance and vegetation indices, including the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). As the C5 production will be maintained for another year in parallel with C6, one objective of this paper is to raise awareness of the calibration-related trends for the broad MODIS user community. The new C6 calibration approach removes major calibrations trends in the Level 1B (L1B) data. This paper also introduces an enhanced C6+ calibration of the MODIS dataset which includes an additional polarization correction (PC) to compensate for the increased polarization sensitivity of MODIS Terra since about 2007, as well as de-trending and Terra–Aqua cross-calibration over quasi-stable desert calibration sites. The PC algorithm, developed by the MODIS ocean biology processing group (OBPG), removes residual scan angle, mirror side and seasonal biases from aerosol and surface reflectance (SR) records along with spectral distortions of SR. Using the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm over deserts, we have also developed a de-trending and cross-calibration method which removes residual decadal trends on the order of several tenths of one percent of the top-of-atmosphere (TOA) reflectance in the visible and near-infrared MODIS bands B1–B4, and provides a good consistency between the two MODIS sensors. MAIAC analysis over the southern USA shows that the C6+ approach removed an additional negative decadal trend of Terra ΔNDVI ~ 0.01 as compared to Aqua data. This change is particularly important for analysis of vegetation dynamics and trends in the tropics, e.g., Amazon rainforest, where the morning orbit Terra provides considerably more cloud-free observations compared to the afternoon Aqua measurements.
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Shi, Y., J. Zhang, J. S. Reid, B. Holben, E. J. Hyer, and C. Curtis. "An analysis of the Collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation." Atmospheric Chemistry and Physics Discussions 10, no. 8 (2010): 20239–65. http://dx.doi.org/10.5194/acpd-10-20239-2010.
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Abstract. As an update to our previous use of the Collection 4 Moderate Resolution Imaging Spectroradiometer (MODIS) over-water aerosol optical depth (AOD, symbol as τ data, we examined ten years of Terra and eight years of Aqua data Collection 5 data for its potential usage in aerosol data assimilation. Uncertainties in the over-water MODIS AOD were studied as functions of observing conditions, such as surface characteristics, aerosol optical properties, and cloud artifacts. Empirical corrections and quality assurance procedures were developed and compared to Collection 4 data. After applying quality assurance and empirical correction procedures, the Root-Mean-Square-Error (RMSE) in the MODIS Terra and Aqua AOD are reduced by 30% and 10–20%, respectively. Ten years of Terra and eight years of Aqua quality-assured level 3 MODIS over-water aerosol products were produced. The newly developed MODIS over-water aerosol products will be used in operational aerosol data assimilation and aerosol climatology studies, and will also be useful to other researchers who are using the MODIS satellite products in their projects.
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Royer, P., J. C. Raut, G. Ajello, S. Berthier, and P. Chazette. "Synergy between CALIOP and MODIS instruments for aerosol monitoring: application to the Po Valley." Atmospheric Measurement Techniques 3, no. 4 (2010): 893–907. http://dx.doi.org/10.5194/amt-3-893-2010.
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Abstract. In this study aerosol optical properties are studied over the Po Valley from June 2006 to February 2009 using Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations/Cloud-Aerosol LIdar with Orthogonal Polarization (CALIPSO/CALIOP) and Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Aqua and Terra. The choice of the Po valley has been driven by the numerous occurrences of pollutant events leading to a mean MODIS-derived aerosol optical depth (AOD) of 0.27 (±0.17) at 550 nm over a large area of ~120 000 km2. AOD derived from MODIS, AERONET and CALIOP have been compared. The comparison with AERONET sun-photometers has highlighted an overestimation of AOD from MODIS radiometers of 0.047 for Aqua and 0.088 for Terra. A systematic underestimation of AOD derived from CALIOP Level-2 products has been observed in comparison to Aqua (0.060) and Terra (0.075) MODIS values. Considering those discrepancies a synergistic approach combining CALIOP level-1 data and MODIS AOD has been developed for the first time over land to retrieve the equivalent extinction-to-backscatter ratio at 532 nm (LR). MODIS-derived AOD were indeed used to constrain CALIOP profiles inversion. A significant number of CALIOP level-1 vertical profiles have been averaged (~200 individual laser shots) in the Po Valley, leading to a signal-to-noise ratio (SNR) higher than 10 in the planetary boundary layer (PBL), which is sufficient to invert the mean lidar profiles. The mean LR (together with the associated variabilities) over the Po Valley retrieved from the coupling between CALIOP/MODIS-Aqua and CALIOP/MODIS-Terra are ~78±22 sr and ~86±27 sr, respectively. The total uncertainty on LR retrieval has been assessed to be ~12 sr using a Monte Carlo approach. The mean LR determined from a look-up table through a selection algorithm in CALIOP level 2 operational products (~63±8 sr) show a good agreement for daytime inversion (70±11 sr for Aqua and 74±14 sr for Terra). These values appear close to what is expected for pollution aerosols in an urban area. Contrarily large differences are observed when considering nighttime CALIOP profiles inverted with daytime AOD from MODIS (63±7 sr for CALIOP level-2 compared with 89±28 sr for CALIOP/Aqua and 103±32 sr for CALIOP/Terra synergies). They can be explained by a significant evolution of AOD between lidar and radiometer passing times. In most of cases, the mean aerosol extinction coefficient in the PBL significantly differs between the level-2 operational products and the result CALIPSO/MODIS synergy results. Mean differences of 0.10 km−1 (~50%) and 0.13 km−1 (~60%) have indeed been calculated using MODIS-Aqua/CALIOP and MODIS-Terra/CALIOP coupling studies, respectively. Such differences may be due to the identification of the aerosol model by the operational algorithm and thus to the choice of the LR.
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Hall, Dorothy K., George A. Riggs, Nicolo E. DiGirolamo, and Miguel O. Román. "Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record." Hydrology and Earth System Sciences 23, no. 12 (2019): 5227–41. http://dx.doi.org/10.5194/hess-23-5227-2019.
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Abstract. MODerate resolution Imaging Spectroradiometer (MODIS) cryosphere products have been available since 2000 – following the 1999 launch of the Terra MODIS and the 2002 launch of the Aqua MODIS – and include global snow-cover extent (SCE) (swath, daily, and 8 d composites) at 500 m and ∼5 km spatial resolutions. These products are used extensively in hydrological modeling and climate studies. Reprocessing of the complete snow-cover data record, from Collection 5 (C5) to Collection 6 (C6) and Collection 6.1 (C6.1), has provided improvements in the MODIS product suite. Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Collection 1 (C1) snow-cover products at a 375 m spatial resolution have been available since 2011 and are currently being reprocessed for Collection 2 (C2). Both the MODIS C6.1 and the VIIRS C2 products will be available for download from the National Snow and Ice Data Center beginning in early 2020 with the complete time series available in 2020. To address the need for a cloud-reduced or cloud-free daily SCE product for both MODIS and VIIRS, a daily cloud-gap-filled (CGF) snow-cover algorithm was developed for MODIS C6.1 and VIIRS C2 processing. MOD10A1F (Terra) and MYD10A1F (Aqua) are daily, 500 m resolution CGF SCE map products from MODIS. VNP10A1F is the daily, 375 m resolution CGF SCE map product from VIIRS. These CGF products include quality-assurance data such as cloud-persistence statistics showing the age of the observation in each pixel. The objective of this paper is to introduce the new MODIS and VIIRS standard CGF daily SCE products and to provide a preliminary evaluation of uncertainties in the gap-filling methodology so that the products can be used as the basis for a moderate-resolution Earth science data record (ESDR) of SCE. Time series of the MODIS and VIIRS CGF products have been developed and evaluated at selected study sites in the US and southern Canada. Observed differences, although small, are largely attributed to cloud masking and differences in the time of day of image acquisition. A nearly 3-month time-series comparison of Terra MODIS and S-NPP VIIRS CGF snow-cover maps for a large study area covering all or parts of 11 states in the western US and part of southwestern Canada reveals excellent correspondence between the Terra MODIS and S-NPP VIIRS products, with a mean difference of 11 070 km2, which is ∼0.45 % of the study area. According to our preliminary validation of the Terra and Aqua MODIS CGF SCE products in the western US study area, we found higher accuracy of the Terra product compared with the Aqua product. The MODIS CGF SCE data record beginning in 2000 has been extended into the VIIRS era, which should last at least through the early 2030s.
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Gupta, Pawan, Lorraine A. Remer, Robert C. Levy, and Shana Mattoo. "Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions." Atmospheric Measurement Techniques 11, no. 5 (2018): 3145–59. http://dx.doi.org/10.5194/amt-11-3145-2018.
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Abstract. In addition to the standard resolution product (10 km), the MODerate resolution Imaging Spectroradiometer (MODIS) Collection 6 (C006) data release included a higher resolution (3 km). Other than accommodations for the two different resolutions, the 10 and 3 km Dark Target (DT) algorithms are basically the same. In this study, we perform global validation of the higher-resolution aerosol optical depth (AOD) over global land by comparing against AErosol RObotic NETwork (AERONET) measurements. The MODIS–AERONET collocated data sets consist of 161 410 high-confidence AOD pairs from 2000 to 2015 for Terra MODIS and 2003 to 2015 for Aqua MODIS. We find that 62.5 and 68.4 % of AODs retrieved from Terra MODIS and Aqua MODIS, respectively, fall within previously published expected error bounds of ±(0.05 + 0.2 × AOD), with a high correlation (R= 0.87). The scatter is not random, but exhibits a mean positive bias of ∼ 0.06 for Terra and ∼ 0.03 for Aqua. These biases for the 3 km product are approximately 0.03 larger than the biases found in similar validations of the 10 km product. The validation results for the 3 km product did not have a relationship to aerosol loading (i.e., true AOD), but did exhibit dependence on quality flags, region, viewing geometry, and aerosol spatial variability. Time series of global MODIS–AERONET differences show that validation is not static, but has changed over the course of both sensors' lifetimes, with Terra MODIS showing more change over time. The likely cause of the change of validation over time is sensor degradation, but changes in the distribution of AERONET stations and differences in the global aerosol system itself could be contributing to the temporal variability of validation.
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Melchiorre, Andrea, Luigi Boschetti, and David P. Roy. "Global Evaluation of the Suitability of MODIS-Terra Detected Cloud Cover as a Proxy for Landsat 7 Cloud Conditions." Remote Sensing 12, no. 2 (2020): 202. http://dx.doi.org/10.3390/rs12020202.
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Clouds limit the quality and availability of optical wavelength surface observations from Earth Observation (EO) satellites. This limitation is particularly relevant for the generation of systematic thematic products from EO medium spatial resolution polar orbiting sensors, such as Landsat, which have reduced temporal resolution compared to coarser resolution polar orbiting sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS on the Terra satellite is in the same orbit as Landsat 7 with an approximately 30 minute overpass difference. In this study, one year of global Landsat 7 Enhanced Thematic Mapper Plus (ETM+) image cloud fractions over land are compared with collocated MODIS cloud fractions, generated by combining the MODIS-Terra global daily cloud mask product (MOD35) with the Landsat 7 ETM+ image footprints and acquisition calendar. The results show high correlation between the MODIS and Landsat 7 ETM+ cloud fractions (R2 = 0.83), negligible bias (median difference: <0.01) and low dispersion around the median (interquartile range: [−0.02, 0.06]). These results indicate that, globally, the cloud cover detected by MODIS-Terra data can be used as a proxy for Landsat 7 ETM+ cloud cover.
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Lu, Ning. "Biases and Abrupt Shifts of Monthly Precipitable Water from Terra MODIS." Remote Sensing 11, no. 11 (2019): 1315. http://dx.doi.org/10.3390/rs11111315.
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Monthly atmospheric precipitable water (PW) from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite was assessed over land at 60°S–60°N. MODIS provides two PW products by using infrared (IR) and near-IR (NIR) algorithms, respectively. An assessment was performed for both MODIS PW data from 2000 to 2014, comparing them with the measurements at international stations of the global positioning systems and with a reanalysis to detect abrupt changes through monthly variations. It is noted that MODIS IR systematically underestimated PW in over 75% of stations, and that PW estimation declines with time. MODIS NIR significantly overestimated PW for tropical land and experienced two abrupt shifts. These data defects result in large spurious decreasing trends in MODIS IR and increasing trends in MODIS NIR. The two MODIS PW products are currently not suitable for a climatic-trend analysis, highlighting the need for data reprocessing and calibration.
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Muhammad, Sher, and Amrit Thapa. "An improved Terra–Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06*) for high-mountain Asia between 2002 and 2018." Earth System Science Data 12, no. 1 (2020): 345–56. http://dx.doi.org/10.5194/essd-12-345-2020.
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Abstract. Snow is a significant component of the ecosystem and water resources in high-mountain Asia (HMA). Therefore, accurate, continuous, and long-term snow monitoring is indispensable for the water resources management and economic development. The present study improves the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites 8 d (“d” denotes “day”) composite snow cover Collection 6 (C6) products, named MOD10A2.006 (Terra) and MYD10A2.006 (Aqua), for HMA with a multistep approach. The primary purpose of this study was to reduce uncertainty in the Terra–Aqua MODIS snow cover products and generate a combined snow cover product. For reducing underestimation mainly caused by cloud cover, we used seasonal, temporal, and spatial filters. For reducing overestimation caused by MODIS sensors, we combined Terra and Aqua MODIS snow cover products, considering snow only if a pixel represents snow in both the products; otherwise it is classified as no snow, unlike some previous studies which consider snow if any of the Terra or Aqua product identifies snow. Our methodology generates a new product which removes a significant amount of uncertainty in Terra and Aqua MODIS 8 d composite C6 products comprising 46 % overestimation and 3.66 % underestimation, mainly caused by sensor limitations and cloud cover, respectively. The results were validated using Landsat 8 data, both for winter and summer at 20 well-distributed sites in the study area. Our validated adopted methodology improved accuracy by 10 % on average, compared to Landsat data. The final product covers the period from 2002 to 2018, comprising a combination of snow and glaciers created by merging Randolph Glacier Inventory version 6.0 (RGI 6.0) separated as debris-covered and debris-free with the final snow product MOYDGL06*. We have processed approximately 746 images of both Terra and Aqua MODIS snow containing approximately 100 000 satellite individual images. Furthermore, this product can serve as a valuable input dataset for hydrological and glaciological modelling to assess the melt contribution of snow-covered areas. The data, which can be used in various climatological and water-related studies, are available for end users at https://doi.org/10.1594/PANGAEA.901821 (Muhammad and Thapa, 2019).
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Jonasson, Olafur, Alexander Ignatov, Boris Petrenko, Victor Pryamitsyn, and Yury Kihai. "NOAA MODIS SST Reanalysis Version 1." Remote Sensing 15, no. 23 (2023): 5589. http://dx.doi.org/10.3390/rs15235589.
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The first NOAA full-mission reanalysis (RAN1) of the sea surface temperature (SST) from the two Moderate Resolution Imaging Spectroradiometers (MODIS) onboard Terra (24 February 2020–present) and Aqua (4 July 2002–present) was performed. The dataset was produced using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) enterprise SST system from Collection 6.1 brightness temperatures (BTs) in three MODIS thermal emissive bands centered at 3.7, 11, and 12 µm with a spatial resolution of 1 km at nadir. In the initial stages of reprocessing, several instabilities in the MODIS SST time series were observed. In particular, Terra SSTs and corresponding BTs showed three ‘steps’: two on 30 October 2000 and 2 July 2001 (due to changes in the MODIS operating mode) and one on 25 April 2020 (due to a change in its nominal blackbody temperature, BBT, from 290 to 285 K). Additionally, spikes up to several tenths of a kelvin were observed during the quarterly warm-up/cool-down (WUCD) exercises, when the Terra MODIS BBT was varied. Systematic gradual drifts of ~0.025 K/decade were also seen in both Aqua and Terra SSTs over their full missions due to drifting BTs. These calibration instabilities were mitigated by debiasing MODIS BTs using the time series of observed minus modeled (‘O-M’) BTs. The RAN1 dataset was evaluated via comparisons with various in situ SSTs. The data meet the NOAA specifications for accuracy (±0.2 K) and precision (0.6 K), often by a wide margin, in a clear-sky ocean domain of 19–21%. The long-term SST drift is typically less than 0.01 K/decade for all MODIS SSTs, except for the daytime ‘subskin’ SST, for which the drift is ~0.02 K/decade. The MODIS RAN1 dataset is archived at NOAA CoastWatch and updated monthly in a delayed mode with a latency of two months. Additional archival with NASA JPL PO.DAAC is being discussed.
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Chang, Tiejun, Xiaoxiong Xiong, Carlos Perez Diaz, Aisheng Wu, and Hanzhi Lin. "Assessment of Radiometric Calibration Consistency of Thermal Emissive Bands Between Terra and Aqua Moderate-Resolution Imaging Spectroradiometers." Remote Sensing 17, no. 2 (2025): 182. https://doi.org/10.3390/rs17020182.
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Moderate-Resolution Imaging Spectroradiometer (MODIS) sensors onboard the Terra and Aqua spacecraft have been in orbit for over 24 and 22 years, respectively, providing continuous observations of the Earth’s surface. Among the instrument’s 36 bands, 16 of them are thermal emissive bands (TEBs) with wavelengths that range from 3.75 to 14.24 μm. Routine post-launch calibrations are performed using the sensor’s onboard blackbody and space view port, the moon, and vicarious targets that include the ocean, Dome Concordia (Dome C) in Antarctica, and quasi-deep convective clouds (DCC). The calibration consistency between the satellite measurements from the two instruments is essential in generating a multi-year data record for the long-term monitoring of the Earth’s Level 1B (L1B) data. This paper presents the Terra and Aqua MODIS TEB comparison for the upcoming Collection 7 (C7) L1B products using measurements over Dome C and the ocean, as well as the double difference via simultaneous nadir overpasses with the Infrared Atmospheric Sounding Interferometer (IASI) sensor. The mission-long trending of the Terra and Aqua MODIS TEB is presented, and their cross-comparison is also presented and discussed. Results show that the calibration of the two MODIS sensors and their respective Earth measurements are generally consistent and within their design specifications. Due to the electronic crosstalk contamination, the PV LWIR bands show slightly larger drifts for both MODIS instruments across different Earth measurements. These drifts also have an impact on the Terra-to-Aqua calibration consistency. This thorough assessment serves as a robust record containing a summary of the MODIS calibration performance and the consistency between the two MODIS sensors over Earth view retrievals.
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Barbini, Roberto, Francesco Colao, Roberta Fantoni, Luca Fiorani, Igor G. Okladnikov, and Antonio Palucci. "Comparison of SeaWiFS, MODIS‐Terra and MODIS‐Aqua in the Southern Ocean." International Journal of Remote Sensing 26, no. 11 (2005): 2471–78. http://dx.doi.org/10.1080/01431160500056980.
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Deaconu, Lucia-Timea, Alexandru Mereuță, Andrei Radovici, Horațiu Ioan Ștefănie, Camelia Botezan, and Nicolae Ajtai. "Consistency of Aerosol Optical Properties between MODIS Satellite Retrievals and AERONET over a 14-Year Period in Central–East Europe." Remote Sensing 16, no. 10 (2024): 1677. http://dx.doi.org/10.3390/rs16101677.
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Aerosols influence Earth’s climate by interacting with radiation and clouds. Remote sensing techniques aim to enhance our understanding of aerosol forcing using ground-based and satellite retrievals. Despite technological advancements, challenges persist in reducing uncertainties in satellite remote sensing. Our study examines retrieval biases in MODIS sensors on Terra and Aqua satellites compared to AERONET ground-based measurements. We assess their performance and the correlation with the AERONET aerosol optical depth (AOD) using 14 years of data (2010–2023) from 29 AERONET stations across 10 Central–East European countries. The results indicate discrepancies between MODIS Terra and Aqua retrievals: Terra overestimates the AOD at 16 AERONET stations, while Aqua underestimates the AOD at 21 stations. The examination of temporal biases in the AOD using the calculated estimated error (ER) between AERONET and MODIS retrievals reveals a notable seasonality in coincident retrievals. Both sensors show higher positive AOD biases against AERONET in spring and summer compared to fall and winter, with few ER values for Aqua indicating poor agreement with AERONET. Seasonal variations in correlation strength were noted, with significant improvements from winter to summer (from R2 of 0.58 in winter to R2 of 0.76 in summer for MODIS Terra and from R2 of 0.53 in winter to R2 of 0.74 in summer for MODIS Aqua). Over the fourteen-year period, monthly mean aerosol AOD trends indicate a decrease of −0.00027 from AERONET retrievals and negative monthly mean trends of the AOD from collocated MODIS Terra and Aqua retrievals of −0.00023 and −0.00025, respectively. An aerosol classification analysis showed that mixed aerosols comprised over 30% of the total aerosol composition, while polluted aerosols accounted for more than 22%, and continental aerosols contributed between 22% and 24%. The remaining 20% consists of biomass-burning, dust, and marine aerosols. Based on the aerosol classification method, we computed the bias between the AERONET AE and MODIS AE, which showed higher AE values for AERONET retrievals for a mixture of aerosols and biomass burning, while for marine aerosols, the MODIS AE was larger and for dust the results were inconclusive.
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Park, Jin Ki, Bong Seop Kim, Si Young Oh, and Jong Hwa Park. "Applicability of Vegetation Indices from Terra MODIS and COMS GOCI Imageries." Journal of The Korean Society of Agricultural Engineers 55, no. 6 (2013): 47–55. http://dx.doi.org/10.5389/ksae.2013.55.6.047.
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Oguro, Yoshinari, Seiji Ito, and Kiyoshi Tsuchiya. "Comparisons of Brightness Temperatures of Landsat-7/ETM+ and Terra/MODIS around Hotien Oasis in the Taklimakan Desert." Applied and Environmental Soil Science 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/948135.
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The brightness temperature (BT) of Taklimakan Desert retrieved from the data of Landsat-7/ETM+ band 6 and Terra/MODIS band 31 and 32 indicates the following features: (1) good linear relationship between the BT of ETM+ and that of MODIS, (2) the observation time adjusted BT of ETM+ is almost equal to that of MODIS, (3) the BT of Terra/MODIS band 31 is slightly higher than that of band 32 over a reservoir while opposite feature is recognized over desert area, (4) the statistical analysis of 225 sample data of ETM+ in one pixel of MODIS for different landcovers indicates that the standard deviation and range of BT of ETM+ corresponding to one pixel of MODIS are0.45∘C,2.25∘Cfor a flat area of desert, while respective values of the oasis farmland and shading side of rocky hill amount to2.88∘C,14.04∘C, and2.80∘C,16.04∘C.
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Redemann, J., Q. Zhang, J. Livingston, et al. "Testing aerosol properties in MODIS (MOD04/MYD04) Collection 4 and 5 using airborne sunphotometer observations in INTEX-B/MILAGRO." Atmospheric Chemistry and Physics Discussions 9, no. 3 (2009): 11753–81. http://dx.doi.org/10.5194/acpd-9-11753-2009.
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Abstract. The 14-channel Ames Airborne Tracking Sunphotometer (AATS) was operated on a Jetstream 31 (J31) aircraft in March 2006 during MILAGRO/INTEX-B (Megacity Initiative-Local And Global Research Observations/Phase B of the Intercontinental Chemical Transport Experiment). We compare AATS retrievals of spectral aerosol optical depth (AOD) and related aerosol properties with corresponding spatially coincident and temporally near-coincident measurements acquired by the MODIS-Aqua and MODIS-Terra satellite sensors. These comparisons are carried out for the older MODIS Collection 4 (C4) and the new Collection 5 (C5) data set, the latter representing a reprocessing of the entire MODIS data set completed during 2006 with updated calibration and aerosol retrieval algorithm. Our analysis yields a direct, validated assessment of the differences between select MODIS C4 and C5 aerosol retrievals. Our analyses of 37 coincident observations by AATS and MODIS-Terra and 18 coincident observations between AATS and MODIS-Aqua indicate notable differences between MODIS C4 and C5 and between the two sensors. For MODIS-Terra, we find an average increase in AOD of 0.02 at 553 nm and 0.01 or less at the shortwave infrared (SWIR) wavelengths. The change from C4 to C5 results in less good agreement with the AATS derived spectral AOD, with average differences at 553 nm increasing from 0.03 to 0.05. For MODIS-Aqua, we find an average increase in AOD of 0.008 at 553 nm, but an increase of nearly 0.02 at the SWIR wavelengths. The change from C4 to C5 results in slightly less good agreement to the AATS derived visible AOD, with average differences at 553 nm increasing from 0.03 to 0.04. However, at SWIR wavelengths, the changes from C4 to C5 result in improved agreement between MODIS-Aqua and AATS, with the average differences at 2119 nm decreasing from -0.02 to -0.003. Comparing the Angstrom exponents calculated from AOD at 553 nm and 855 nm, we find an increased rms difference from AATS derived Angstrom exponents in going from C4 to C5 for MODIS-Terra, and a decrease in rms difference, hence an improvement, for the transition from C4 to C5 in MODIS-Aqua. Combining the AATS retrievals with in situ measurements of size-dependent aerosol extinction, we derive a suborbital measure of the aerosol submicron fraction (SMF) of AOD and compare it to MODIS retrievals of aerosol fine mode fraction (FMF). Our analysis shows a significant rms-difference between the MODIS-Terra FMF and suborbitally-derived SMF of 0.17 for both C4 and C5. For MODIS-Aqua, there is a slight improvement in the transition from C4 to C5, with the rms-difference from AATS dropping from 0.23 to 0.16. The differences in MODIS C4 and C5 AOD in this limited data set can be traced to changes in the reflectances input to the aerosol retrievals. An extension of the C4-C5 comparisons from the area along the J31 flight track to a larger study region between 18–23° N and 93–100° W on each of the J31 flight days supports the finding of significant differences between MODIS C4 and C5.
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Redemann, J., Q. Zhang, J. Livingston, et al. "Testing aerosol properties in MODIS Collection 4 and 5 using airborne sunphotometer observations in INTEX-B/MILAGRO." Atmospheric Chemistry and Physics 9, no. 21 (2009): 8159–72. http://dx.doi.org/10.5194/acp-9-8159-2009.
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Abstract. The 14-channel Ames Airborne Tracking Sunphotometer (AATS) was operated on a Jetstream 31 (J31) aircraft in March 2006 during MILAGRO/INTEX-B (Megacity Initiative-Local And Global Research Observations/Phase B of the Intercontinental Chemical Transport Experiment). We compare AATS retrievals of spectral aerosol optical depth (AOD) and related aerosol properties with corresponding spatially coincident and temporally near-coincident measurements acquired by the MODIS-Aqua and MODIS-Terra satellite sensors. These comparisons are carried out for the older MODIS Collection 4 (C4) and the new Collection 5 (C5) data set, the latter representing a reprocessing of the entire MODIS data set completed during 2006 with updated calibration and aerosol retrieval algorithm. Our analysis yields a direct, validated assessment of the differences between select MODIS C4 and C5 aerosol retrievals. Our analyses of 37 coincident observations by AATS and MODIS-Terra and 18 coincident observations between AATS and MODIS-Aqua indicate notable differences between MODIS C4 and C5 and between the two sensors. For MODIS-Terra, we find an average increase in AOD of 0.02 at 553 nm and 0.01 or less at the shortwave infrared (SWIR) wavelengths. The change from C4 to C5 results in less good agreement with the AATS derived spectral AOD, with average differences at 553 nm increasing from 0.03 to 0.05. For MODIS-Aqua, we find an average increase in AOD of 0.008 at 553 nm, but an increase of nearly 0.02 at the SWIR wavelengths. The change from C4 to C5 results in slightly less good agreement to the AATS derived visible AOD, with average differences at 553 nm increasing from 0.03 to 0.04. However, at SWIR wavelengths, the changes from C4 to C5 result in improved agreement between MODIS-Aqua and AATS, with the average differences at 2119 nm decreasing from −0.02 to −0.003. Comparing the Angstrom exponents calculated from AOD at 553nm and 855nm, we find an increased rms difference from AATS derived Angstrom exponents in going from C4 to C5 for MODIS-Terra, and a decrease in rms difference, hence an improvement, for the transition from C4 to C5 in MODIS-Aqua. Combining the AATS retrievals with in situ measurements of size-dependent aerosol extinction, we derive a suborbital measure of the aerosol submicron fraction (SMF) of AOD and compare it to MODIS retrievals of aerosol fine mode fraction (FMF). Our analysis shows a significant rms-difference between the MODIS-Terra FMF and suborbitally-derived SMF of 0.17 for both C4 and C5. For MODIS-Aqua, there is a slight improvement in the transition from C4 to C5, with the rms-difference from AATS dropping from 0.23 to 0.16. The differences in MODIS C4 and C5 AOD in this limited data set can be traced to changes in the reflectances input to the aerosol retrievals. An extension of the C4-C5 comparisons from the area along the J31 flight track to a larger study region between 18–23° N and 93–100° W on each of the J31 flight days supports the finding of significant differences between MODIS C4 and C5.
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Alston, E. J., I. N. Sokolik, and O. V. Kalashnikova. "Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade." Atmospheric Measurement Techniques Discussions 4, no. 6 (2011): 7559–95. http://dx.doi.org/10.5194/amtd-4-7559-2011.
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Abstract. This study examines how aerosols measured from the ground and space over the US Southeast change temporally over a regional scale during the past decade. PM2.5 data consist of two datasets that represent the measurements that are used for regulatory purposes by the US EPA and continuous measurements used for quickly disseminating air quality information. AOD data comes from three NASA sensors: the MODIS sensors onboard Terra and Aqua satellites and the MISR sensor onboard the Terra satellite. We analyze all available data over the state of Georgia from 2000–2009 of both types of aerosol data. The analysis reveals that during the summer the large metropolitan area of Atlanta has average PM2.5 concentrations that are 50% more than the remainder of the state. Strong seasonality is detected in both the AOD and PM2.5 datasets; as evidenced by a threefold increase of AOD from mean winter values to mean summer values, and the increase in PM2.5 concentrations is almost twofold from over the same period. Additionally, there is good agreement between MODIS and MISR onboard the Terra satellite during the spring and summer having correlation coefficients of 0.64 and 0.71, respectively. Monthly anomalies were used to determine the presence of a trend in all considered aerosol datasets. We found negative linear trends in both the monthly AOD anomalies from MODIS onboard Terra and the PM2.5 datasets, which are statistically significant for α = 0.05. Decreasing trends were also found for MISR onboard Terra and MODIS onboard Aqua, but those trends were not statistically significant.
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Choudhry, P., A. Misra, and S. N. Tripathi. "Study of MODIS derived AOD at three different locations in the Indo Gangetic Plain: Kanpur, Gandhi College and Nainital." Annales Geophysicae 30, no. 10 (2012): 1479–93. http://dx.doi.org/10.5194/angeo-30-1479-2012.
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Abstract. Moderate resolution imaging spectroradiometer (MODIS) sensors, onboard Terra and Aqua, have been observing the Earth since start of 2000 and mid 2002, respectively. The present study provides a comparison of Collection 5 (C005), aerosol optical depth (AOD) retrieved by MODIS, with AERONET-observed AOD over Kanpur (an urban site), Gandhi College (a rural site) and Nainital (a relatively clean site) in the Indo Gangetic Plain (IGP). The results show that at Kanpur, MODIS retrievals are well within the prelaunch uncertainty ± 0.05 ±0.15 τ, and a good correlation (R2 > 0.7 for both Terra and Aqua). Nainital also shows good retrieval (R2 > 0.8 for Terra and R2 > 0.68 for Aqua), as more than 66% of total collocations are within the prelaunch uncertainty. However, it is seen that there is significant overestimation in this case, especially in the months of winter. Gandhi College poses a challenge to MODIS retrieval, as here <57% of MODIS-retrieved AOD values lay within the prelaunch uncertainty and the correlation is very poor (R2 ~ 0.5 for Aqua and R2 ~ 0.4 for Terra); also there is persistent underestimation in this case. Small value of slope shows that assumed model results in underestimation, and large intercept values for the linear regression fit show that errors due to surface reflectance are high here. Our comparison shows that MODIS retrieval works well over Kanpur, and Nainital with winter as an exception. However, MODIS retrieval is poor for Gandhi College which is a rural area. The aerosol properties at Kanpur are currently used as representative of the entire subcontinent in the MODIS C005 algorithm, which is not an accurate assumption. The large variability in land use and climate over India makes it a site too complex for a single aerosol model to be used over the entire area. Therefore further study with as many sites as possible over the Indian subcontinent would help provide more realistic modeling for the Indian subcontinent.
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Xiaoxiong Xiong, Nianzeng Che, and W. Barnes. "Terra MODIS on-orbit spatial characterization and performance." IEEE Transactions on Geoscience and Remote Sensing 43, no. 2 (2005): 355–65. http://dx.doi.org/10.1109/tgrs.2004.840643.
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Xiong, X., N. Che, and W. L. Barnes. "Terra MODIS on-orbit spectral characterization and performance." IEEE Transactions on Geoscience and Remote Sensing 44, no. 8 (2006): 2198–206. http://dx.doi.org/10.1109/tgrs.2006.872083.
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Melin, Frédéric, Giuseppe Zibordi, and Jean-François Berthon. "Uncertainties in Remote Sensing Reflectance From MODIS-Terra." IEEE Geoscience and Remote Sensing Letters 9, no. 3 (2012): 432–36. http://dx.doi.org/10.1109/lgrs.2011.2170659.
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Lovita, Oktalia Triananda, Mokhamad Nur Cahyadi, and Muhammad Taufik. "Analisa Perubahan Cuaca Di Pulau Sumatera Akibat Kebakaran Hutan Dengan Data Water Vapor Dari Citra Satelit Terra Modis." Jurnal Inotera 2, no. 1 (2017): 29. http://dx.doi.org/10.31572/inotera.vol2.iss1.2017.id17.
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Forest fires in Sumatra lead to a very extreme climate changes around the earth, so there would still be a difficult job for atmosphere researchers. This research was conducted to know the weather conditions by determining the condition of Water Vapor (WV) on the island of Sumatra. Monitoring the condition of WV can be done by using remote sensing techniques, by processing the image satellite data namely Terra Modis (Moderate Resolution Imaging Spectroradiometer). Data calculation condition WV, as one of the parameters of dynamic atmosphere. The data comes from Terra Modis satellite image, the data on Canal 2, 5, 17, 18 and 19 with a wavelength range; 0,865�m, 1.24 �m, 0.905 �m, 0.936 �m and 0,940 �m. From these results obtained from the average value of Water Vapor before and after fires in 2012. Water Vapor taken from TERRA MODIS satellite imagery (y) with a correction factor of 0.9865. Although the correlation (r) between Water Vapor from MODIS data is high, it can be seen that between Water Vapor in 2012 ranged between 3-8 cm. 82%, however only about 68% of Water Vapor MODIS diversity that can be presented by the equation model to approach the actual value of Water Vapor. With these data will greatly affect the weather cycle in Indonesia.
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Farahat, Ashraf. "Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa." Annales Geophysicae 37, no. 1 (2019): 49–64. http://dx.doi.org/10.5194/angeo-37-49-2019.
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Abstract. Comparative analysis of Multi-angle Imaging SpectroRadiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) products is performed over seven AERONET stations located in the Middle East and North Africa for the period of 2000–2015. Sites are categorized into dust, biomass burning, and mixed aerosol conditions. MISR and MODIS AOD agree during high-dust seasons but MODIS tends to underestimate AOD during low-dust seasons. Over dust-dominated sites, MODIS/Terra AODs indicate a negative trend over time, while MODIS/Aqua, MISR, and AERONET depict a positive trend. A deviation between MODIS/Aqua and MODIS/Terra was observed regardless of the geographic location and data sampling. The performance of MODIS is similar over the entire region with ∼64 % of AOD within the Δτ=±0.05±0.15τAERO confidence range. MISR AOD retrievals fall within 84 % of the same confidence range for all sites examined here. Both MISR and MODIS capture aerosol climatology; however few cases were observed where one of the two sensors better captures the climatology over a certain location or AOD range than the other sensor. AERONET Level 2.0 version 3, MODIS Collection 6.1, and MISR V23 data have been used in analyzing the results presented in this study.
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Handayani, Tri, and Desyanti. "Pemampatan Citra Satelit Terra Modis Menggunakan Alihragam Gelombang-singkat." SATIN - Sains dan Teknologi Informasi 5, no. 2 (2019): 1–8. http://dx.doi.org/10.33372/stn.v5i2.548.
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Salah satu bidang penginderaan jauh adalah satelit MODIS memberikan lingkup cakupan harian bumi menggunakan sensor. Data citra satelit yang belum diolah biasanya mengandung noise, gangguan yang ditimbulkan oleh sistem/sensor optik. Pemampatan diperlukan mengurangi redundansi data citra agar dapat menyimpan atau mentransmisikan data dengan ruang minimal atau bandwidth semaksimal mungkin. Dalam penelitian ini menggunakan citra satelit Terra MODIS level 1 B dengan ukuran 512 x 512 pixel serta alihragam gelombang-singkat Haar, Coiflet1, Coiflet 2, Symlet5 dan Symlet2 dengan proses Preprocessing untuk menghilangkan noise menggunakan Filter lowpass Gaussian. Hasil dari penelitian ini berupa perbandingan untuk masing-masing gelombang singkat terhadap rasio pemampatan, ukuran file citra, PSNR. Rasio Pemampatan tertinggi pada gelombang singkat Coiflet1 dengan 34%. PSNR tertinggi pada gelombang singkat Coiflet2 pada citra MOD03 dengan nilai 19.984, MSE terendah pada gelombang singkat Coiflet2 pada citra MOD02 dengan nilai 21.704 sedangkan untuk ukuran file citra gelombang singkat Haar dan Symlet2 menghasilkan ukuran file terkecil Kata Kunci : MODIS, Gelombang-singkat, Pemampatan  citra,  Filter  lowpass GaussianÂ
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Zainab, Siti. "Analisis Acidity/Ph dengan Citra Satelit Terra Modis 2021 Studi Kasus : Pesisir Ujung Pangkah Gresik." KERN : Jurnal Ilmiah Teknik Sipil 7, no. 2 (2021): 69–76. http://dx.doi.org/10.33005/kern.v7i2.49.
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Acidity/Ph merupakan salah satu parameter yang digunakan untuk pengukuran kualitas air. Pengukuran Acidity/Ph yang dipergunakan untuk kesuburan tanaman nilainya kisaran 7, sedangkan pada wilayah pesisir kisarannya kurang dari 7 Acidity/Ph yang dibawah kisaran 7 ini menjadikan tanaman tidak dapat hidup subur , kecuali tanaman mangrove. Penelitian ini bertujuan untuk menganalisis Acidity/Ph dengan menggunakan Citra Satelit Terra Modis Studi Kasus di pesisir Ujungpangkah Gresik. Penelitian ini bertujuan untuk menganalisa Acidity/Ph dengan Citra Satelit Terra Modis Studi Kasus di pesisir Ujungpangkah Gresik. Peralatan yang dibutuhkan dalam kegiatan adalah unit perangkat komputer serta software Seadas 4.7.3 . Penginderaan jauh sangat tepat dipergunakan sebagai solusi untuk menganalisa Acidity/Ph pesisir Ujungpangkah, Secara cepat, murah dan efisien penggunaan data citra telah dibuktikan dalam kegiatan ini . Hasil yang didapatkan Sebaran Acidity/Ph merupakan salah satu parameter yang digunakan untuk pengukuran kualitas air. Sebaran Acidity/Ph di seluruh wilayah pesisir Ujungpangkah Kabupaten Gresik Hasil Identifikasi menunjukkan kisaran antara 5,212- 7,226. Model Algoritma Acidity/Ph wilayah pesisir Ujungpangkah Kabupaten Gresik y = 24,406x0,2766 dan derajat determinasi R² = 0,7887 didapatkan dari panjang gelombang / reflektansi Rrs_443. Hasil uji Hipotasa, uji t memberikan hasil t stat / t hitung < t kritis / t table atau 0,2243441 < 0,82488439 artinya : bahwa Acidity/Ph sama dengan Acidity/Ph citra satelit Terra Modis 2021. Dengan kata lain , tidak ada perbedaan antara Acidity/Ph insitu dengan Acidity/Ph citra satelit Terra Modis 2021, sedang korelasinya 0,877012803 artinya positip sangat kuat.
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Alston, E. J., I. N. Sokolik, and O. V. Kalashnikova. "Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade." Atmospheric Measurement Techniques 5, no. 7 (2012): 1667–82. http://dx.doi.org/10.5194/amt-5-1667-2012.
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Abstract. This study examines how aerosols measured from the ground and space over the US Southeast change temporally over a regional scale during the past decade. PM2.5 (particulate matter with aerodynamic diameter >2.5 micrometers) data consist of two datasets that represent the measurements that are used for regulatory purposes by the US EPA (Environmental Protection Agency) and continuous measurements used for quickly disseminating air quality information. AOD (aerosol optical depth) data come from three NASA sensors: the MODIS sensors onboard Terra and Aqua satellites and the MISR sensor onboard the Terra satellite. We analyze all available data over the state of Georgia from 2000–2009 of both types of aerosol data. The analysis reveals that during the summer the large metropolitan area of Atlanta has average PM2.5 concentrations that are 50% more than the remainder of the state. Strong seasonality is detected in both the AOD and PM2.5 datasets, as evidenced by a threefold increase of AOD from mean winter values to mean summer values, and the increase in PM2.5 concentrations is almost twofold over the same period. Additionally, there is agreement between MODIS and MISR onboard the Terra satellite during the spring and summer, having correlation coefficients of 0.64 and 0.71, respectively. Monthly anomalies were used to determine the presence of a trend in all considered aerosol datasets. We found negative linear trends for both the monthly AOD anomalies from MODIS onboard Terra and the PM2.5 datasets, which are statistically significant. Decreasing trends were also found for MISR onboard Terra and MODIS onboard Aqua, but those trends were not statistically significant. The observed decrease in AOD and PM2.5 concentrations may be indicative of the brightening over the study region during the past decade.
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Glantz, P., and M. Tesche. "Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe." Atmospheric Measurement Techniques 5, no. 7 (2012): 1727–40. http://dx.doi.org/10.5194/amt-5-1727-2012.
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Abstract. The aim of the present study is to validate AOT (aerosol optical thickness) and Ångström exponent (α), obtained from MODIS (MODerate resolution Imaging Spectroradiometer) Aqua and Terra calibrated level 1 data (1 km horizontal resolution at ground) with the SAER (Satellite AErosol Retrieval) algorithm and with MODIS Collection 5 (c005) standard product retrievals (10 km horizontal resolution), against AERONET (AErosol RObotic NETwork) sun photometer observations over land surfaces in Europe. An inter-comparison of AOT at 0.469 nm obtained with the two algorithms has also been performed. The time periods investigated were chosen to enable a validation of the findings of the two algorithms for a maximal possible variation in sun elevation. The satellite retrievals were also performed with a significant variation in the satellite-viewing geometry, since Aqua and Terra passed the investigation area twice a day for several of the cases analyzed. The validation with AERONET shows that the AOT at 0.469 and 0.555 nm obtained with MODIS c005 is within the expected uncertainty of one standard deviation of the MODIS c005 retrievals (ΔAOT = ± 0.05 ± 0.15 · AOT). The AOT at 0.443 nm retrieved with SAER, but with a much finer spatial resolution, also agreed reasonably well with AERONET measurements. The majority of the SAER AOT values are within the MODIS c005 expected uncertainty range, although somewhat larger average absolute deviation occurs compared to the results obtained with the MODIS c005 algorithm. The discrepancy between AOT from SAER and AERONET is, however, substantially larger for the wavelength 488 nm. This means that the values are, to a larger extent, outside of the expected MODIS uncertainty range. In addition, both satellite retrieval algorithms are unable to estimate α accurately, although the MODIS c005 algorithm performs better. Based on the inter-comparison of the SAER and MODIS c005 algorithms, it was found that SAER on the whole is able to obtain results within the expected uncertainty range of MODIS Aqua and Terra observations.
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Evan, Faishal, Siti Zainab, and Bagas Aryaseta. "Analisa dan Pemetaan Klorofil-A di Pesisir Pantai Malang Memakai Data Citra Satelit Terra Modis." KERN : Jurnal Ilmiah Teknik Sipil 6, no. 2 (2020): 85–90. http://dx.doi.org/10.33005/kern.v6i2.36.
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Indonesia sebagai negara kepulauan, 2/3 dari luas wilayah Indonesia merupakan wilayah perairan atau lautan. Lautan menjadi salah satu sumber kehidupan bagi masyarakat Indonesia, termasuk yang ada di wilayah kabupaten Malang. Potensi hasil laut di kabupaten Malang selain ikan, ada juga cumi-cumi, rajungan, kerang-kerangan dan lain-lain. Kebaradaan ikan tidak dapat dipisahkan dari ekosistem laut terutama adanya produsen makanan yang terdapat di laut, yakni klorofil-a pada fitoplankton. Informasi yang digunakan untuk mendapatkan persebaran nilai konsentrasi klorofil-a dapat diperoleh dari hasil pengolahan data citra satelit Terra MODIS dan citra satelit Envisat Meris; yang diperkuat dengan data In Situ berupa pengambilan sampel air laut yang diuji di laboratorium. Proses pengolahan citra menggunakan citra Terra MODIS. Dari penelitian ini, diperoleh peta persebaran konsentrasi klorofil-a di perairan pantai Malang yang dihasilkan dari pengolahan citra Satelit dan analisa beberapa in Situ, berdasakan parameter konsentrasi klorofil-a. Hasil ini dapat disimpulkan bahwa Terra MODIS memiliki korelasi yang cukup kuat terhadap data in situ. Sedangkan uji korelasi antara data In Situ dengan citra Envisat Meris cukup lemah.
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Kim, Saet-Byul, Hyung-Jin Shin, Ji-Wan Lee, Young-Seok Yu, and Seong-Joon Kim. "Mapping Technique for Heavy Snowfall Distribution Using Terra MODIS Images and Ground Measured Snowfall Data." Journal of the Korean Association of Geographic Information Studies 14, no. 4 (2011): 33–43. http://dx.doi.org/10.11108/kagis.2011.14.4.033.
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Aldabash, Midyan, Filiz Bektas Balcik, and Paul Glantz. "Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey." Atmosphere 11, no. 9 (2020): 905. http://dx.doi.org/10.3390/atmos11090905.
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This study validated MODIS (Moderate Resolution Imaging Spectroradiometer) of the National Aeronautics and Space Agency, USA, Aqua and Terra Collection 6.1, and MERRA-2 (Modern-ERA Retrospective Analysis for Research and Application) Version 2 of aerosol optical depth (AOD) at 550 nm against AERONET (Aerosol Robotic Network) ground-based sunphotometer observations over Turkey. AERONET AOD data were collected from three sites during the period between 2013 and 2017. Regression analysis showed that overall, seasonally and daily statistics of MODIS are better than MERRA-2 by the mean of coefficient of determination (R2), mean absolute error (MAE), and relative root mean square deviation (RMSDrel). MODIS combined Terra/Aqua AOD and MERRA-2 AOD corresponding to morning and noon hours resulted in better results than individual sub datasets. A clear annual cycle in AOD was detected by the three platforms. However, overall, MODIS and MERRA-2 tend to overestimate and underestimate AOD, respectively, in comparison with AERONET. MODIS showed higher efficiency in detecting extreme events than MERRA-2. There was no clear relation found between the accuracy in MODIS/MERRA-2 AOD and surface relative humidity (RH).
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Azizah, Aulia, and Hendrata Wibisana. "ANALISA TEMPORAL SEBARAN SUHU PERMUKAAN LAUT TAHUN 2018 HINGGA 2020 DENGAN DATA CITRA TERRA MODIS." Jurnal Kelautan: Indonesian Journal of Marine Science and Technology 13, no. 3 (2020): 196–205. http://dx.doi.org/10.21107/jk.v13i3.7550.
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ABSTRACTSea surface temperature (SPL) information is the most important water quality parameter in the ocean, especially in coastal areas. Remote sensing technology with Terra Modis satellite data is used for periodic monitoring of SPL changes. The purpose of this study was to analyze the temporal distribution of SPL on the coast of Malang, East Java. The data used are SPL data from Terra-MODIS satellite sensors in May 2018, 2019 and 2020. Analysis of the data used is descriptive analysis which includes temporal analysis of SPL based on SPL fluctuations in graphical form. The results showed that the temporal variation of the 2018-2020 SPL on the coast of Malang tends to increase. The SPL value in 2018 varies between 25 ° C - 26 ° C while in 2019 it varies between 26 ° C - 27 ° C and in 2020 it ranges between 30 ° C - 31 ° C. The highest average SPL value from 2018 - 2020 is in 2020 with a temperature of 30.58 ° C. In an effort to model sea surface temperatures used calculations using mathematical models. From the results obtained it can be concluded that the most optimal mathematical model is derived from the wavelength of 667 nm on May 23, 2020 with the equation model y = -0,498ln (x) + 27,936 which results in a correlation value of R = 0.6561.Keywords: sea surface temperature, terra modis, satellite, mathematical models.ABSTRAKInformasi suhu permukaan laut (SPL) merupakan parameter kualitas perairan yang paling penting di lautan terutama kawasan pesisir. Teknologi penginderaan jauh dengan data satelit Terra-MODIS digunakan untuk pemantauan perubahan SPL secara berkala. Tujuan penelitian ini adalah menganalisis sebaran temporal SPL di pesisir pantai Malang, Jawa Timur. Data yang digunakan adalah data SPL dari sensor satelit Terra Modis bulan Mei 2018, 2019 dan 2020. Analisis data yang digunakan adalah analisis deskriptif yang meliputi analisis SPL secara temporal berdasarkan fluktuasi SPL dalam bentuk grafik. Hasil penelitian menunjukan bahwa variasi temporal SPL tahun 2018-2020 di pesisir Malang cenderung mengalami peningkatan. Nilai SPL tahun 2018 bervariasi antara 25°C – 26°C sedangkan tahun 2019 bervariasi antara 26°C – 27°C dan tahun 2020 berkisar antara 30°C – 31°C. Nilai SPL rata-rata tertinggi dari tahun 2018 – 2020 berada pada tahun 2020 dengan suhu 30,58°C. Dalam upaya memodelkan suhu permukaan laut digunakan perhitungan dengan menggunakan model matematika. Dari hasil yang diperoleh dapat disimpulkan bahwa model matematis yang paling optimal berasal dari panjang gelombang 667 nm pada tanggal 23 Mei 2020 dengan model persamaan y = -0,498ln(x) + 27,936 yang menghasilkan nilai korelasi R = 0,6561.Kata Kunci: suhu permukaan laut, terra modis, satelit, model matematis.
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Sai Suman, M. N., H. Gadhavi, V. Ravi Kiran, A. Jayaraman, and S. V. B. Rao. "Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India." Atmospheric Measurement Techniques 7, no. 4 (2014): 907–17. http://dx.doi.org/10.5194/amt-7-907-2014.
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Abstract. In the present study we compare the MODIS (Moderate Resolution Imaging Spectroradiometer) derived aerosol optical depth (AOD) data with that obtained from operating sky-radiometer at a remote rural location in southern India (Gadanki, 13.45° N, 79.18° E) from April 2008 to March 2011. While the comparison between total (coarse mode + fine mode) AODs shows correlation coefficient (R) value of about 0.71 for Terra and 0.77 for Aqua, if one separates the AOD into fine and coarse mode, the comparison becomes very poor, particularly for fine mode with an R value of 0.44 for both Terra and Aqua. The coarse mode AOD derived from MODIS and sky-radiometer compare better with an R value of 0.74 for Terra and 0.66 for Aqua. The seasonal variation is also well captured by both ground-based and satellite measurements. It is shown that both the total AOD and fine mode AOD are significantly underestimated with slope of regression line 0.75 and 0.35 respectively, whereas the coarse mode AOD is overestimated with a slope value of 1.28 for Terra. Similar results are found for Aqua where the slope of the regression line for total AOD and fine mode AOD are 0.72 and 0.27 whereas 0.95 for coarse mode. The fine mode fraction derived from MODIS data is less than one-half of that derived from the sky-radiometer data. Based on these observations and comparison of single scattering albedo observed using sky-radiometer with that of MODIS aerosol models, we argue that the selection of aerosol types used in the MODIS retrieval algorithm may not be appropriate particularly in the case of southern India. Instead of selecting a moderately absorbing aerosol model (as being done currently in the MODIS retrieval) a more absorbing aerosol model could be a better fit for the fine mode aerosols, while reverse is true for the coarse mode aerosols, where instead of using "dust aerosols" which is relatively absorbing type, usage of coarse sea-salt particles which is less absorbing is more appropriate. However, not all the differences could be accounted based on aerosol model, other factors like errors in retrieval of surface reflectance may also be significant in causing underestimation of AOD by MODIS.
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Jin, Xin, John M. Hanesiak, and David G. Barber. "Time Series of Daily Averaged Cloud Fractions over Landfast First-Year Sea Ice from Multiple Data Sources." Journal of Applied Meteorology and Climatology 46, no. 11 (2007): 1818–27. http://dx.doi.org/10.1175/2007jamc1472.1.
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Abstract The time series of daily averaged cloud fractions (CFs) collected from different platforms—two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on Terra and Aqua satellites, the National Centers for Environmental Prediction (NCEP) model, a Vaisala 25K laser ceilometer, and ground-based manual observations (manobs)—above the winter camp of the Canadian Arctic Shelf Exchange Study (CASES) field experiment are analyzed in this study. Taking the manobs as standard, the authors conclude that 1) the NCEP products considerably underestimated CFs in spring (e.g., from April to May) and 2) the performance of two MODIS products depends on the variation of solar zenith angle (SZA). Aqua MODIS misrepresents the snow-covered surface as clouds with almost randomly distributed CFs during the dark winter [cos(SZA) &lt; 0], leading to the overestimation of CFs in winter while Terra MODIS has good agreement with manobs. When 0.1 &lt; cos(SZA) &lt; 0.4, both MODIS products regularly misrepresent the snow-covered background as clouds, leading to the significant overestimation of CFs in late winter (February) and early spring (March). When cos(SZA) &gt; 0.4, both MODIS products have good performance in detecting cloud masks over snow backgrounds. If the sky is slightly cloudy, surface-based meteorological observers tend to underestimate cloud amounts when there is a lack of light. Comparing the CFs from Terra and manobs, the authors conclude that this bias can be over 10%. Power spectral analysis and wavelet analysis show three results: 1) High clouds more frequently appear in winter than in spring with periods between 8 and 16 days, indicating their close connection with synoptic events. Current NCEP products can predict this periodicity but have a phase lag. 2) Middle and low clouds are more local and are common in mid- and late spring (April and May) with periods between 2 and 4 days. At the CASES winter and spring field site, the periodicity of high clouds is dominant. 3) The time-scale-dependent correlation coefficients (CCs) between both MODIS products, NCEP and manobs, show that with high frequent CF sampling per day, the CCs are stable when the time scale varies between 1 and 4 days: with Terra MODIS and NCEP, the value is about 0.6; with Aqua MODIS, between 0.4 and 0.5. All CCs get smaller when the time scale increases beyond 8 days: with respect to both MODIS products, the CCs get closer with values between 0.3 and 0.4; with respect to NCEP, the CC dramatically decreases from positive values to negative values, indicating the lack of accuracy in current NCEP cloud schemes.
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Glantz, P., and M. Tesche. "Assessment of diverse algorithms applied on MODIS Aqua and Terra data over land surfaces in Europe." Atmospheric Measurement Techniques Discussions 5, no. 2 (2012): 2363–93. http://dx.doi.org/10.5194/amtd-5-2363-2012.
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Abstract. The aim of the present study is to validate AOT (aerosol optical thickness) and Ångström exponent (α), obtained with the SAER (Satellite AErosol Retrieval) algorithm for MODIS (MODerate resolution Imaging Spectroradiometer) Aqua and Terra calibrated level 1 data (1 km horizontal resolution at ground) and MODIS Collection 5 (c005) standard product retrievals (10 km), against AERONET (AErosol RObotic NETwork) observations over land surfaces in Europe. The three time periods investigated in this study have been chosen to enable a validation of the algorithm for a maximal possible variation in sun elevations. For several of the cases analyzed here the Aqua and Terra satellites passed the investigation area twice during a day. Thus, beside a variation in the sun elevation the satellite retrievals have also on a daily basis been performed with a significant variation in the satellite-viewing geometry. An inter-comparison of the two algorithms has also been performed. The validation with AERONET shows that the MODIS c005 retrieved AOT is, for the wavelengths 0.469 and 0.500 nm, on the whole within the expected uncertainty for one standard deviation of the MODIS c005 retrievals over Europe (Δ AOT = ±0.05±0.15 AOT). The SAER estimated AOT for the wavelength 0.443 nm also agree reasonable well with AERONET. Thus, the majority of the SAER AOT values are within the MODIS expected uncertainty range, although somewhat larger root mean square deviation occurs compared to the results obtained with the MODIS c005 algorithm. The discrepancy between SAER and AERONET AOT is, however, substantially larger for the wavelength 488 nm, which means that the values are to a large extent outside of the expected MODIS uncertainty range. Both satellite retrieval algorithms are unable to estimate α accurately, although the MODIS c005 algorithm performs better. Based on the inter-comparison of the SAER and MODIS c005 algorithms it was found that the SAER is able to obtain results within the expected uncertainty range of MODIS for Aqua and Terra observations during periods 1 and 3. The same was found for MODIS Aqua observations during period 2 but only for AOT below 0.5.
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Platnick, S., M. D. King, S. A. Ackerman, et al. "The MODIS cloud products: algorithms and examples from terra." IEEE Transactions on Geoscience and Remote Sensing 41, no. 2 (2003): 459–73. http://dx.doi.org/10.1109/tgrs.2002.808301.
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Safarpour, Sahabeh, Khiruddin Abdullah, Hwee San Lim, and Mohsen Dadras. "Accuracy assessment of Terra-MODIS aerosol optical depth retrievals." IOP Conference Series: Earth and Environmental Science 20 (June 23, 2014): 012059. http://dx.doi.org/10.1088/1755-1315/20/1/012059.
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Hashimoto, Toshiaki. "On the precise geometric correction of Terra/MODIS data." Journal of the Japan society of photogrammetry and remote sensing 41, no. 5 (2002): 29–36. http://dx.doi.org/10.4287/jsprs.41.5_29.
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Xiong, X., K. Chiang, J. Sun, W. L. Barnes, B. Guenther, and V. V. Salomonson. "NASA EOS Terra and Aqua MODIS on-orbit performance." Advances in Space Research 43, no. 3 (2009): 413–22. http://dx.doi.org/10.1016/j.asr.2008.04.008.
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Zhukova, E. Yu, I. N. Barsukova, and A. A. Zhukov. "Productivity of fodder areas according to Terra Modis data." Siberian Herald of Agricultural Science 49, no. 4 (2019): 32–41. http://dx.doi.org/10.26898/0370-8799-2019-4-4.
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A quantitative assessment of the current state of natural fodder areas located in the Turano-Uyuk basin (Tuva) was made. Vegetation monitoring was carried out on the basis of Terra Modis satellite data by the following indicators: normalized vegetation index, gross primary production (GPP) and evapotranspiration. The productivity of plant associations was compared, their growth rate and the degree of GPP dependence on the sum of temperatures and evapotranspiration were determined. The results of ground-based studies performed by generally accepted methods were used for verifi cation. Remote indicators of gross production for the growing season ranged from 33.3 t/ha for halophytic meadows, and up to 48.8 t/ ha for wetland habitats. Depending on the species composition, gross productivity of glycophytic meadows during the growing season was 39.9– 48.7 t/ ha. A comparison of the data showed signifi cant differences in the remote and actual productivity of fodder areas, which can be leveled by means of correlation with the ground-based indicators. The best results of the relationship between gross primary production and the vegetation index with the sum of positive temperatures were identifi ed by polynomial equations of the third degree. The maximum period of phytomass development of natural fodder areas (meadow communities) was recorded before the beginning of June. Biological and environmental differences in the growth of vegetation during the season were noted in the period from 10-11 June to 19-20 July. The decrease in the accumulation of gross primary production by mid-July and the end of September was caused by weather conditions. The optimal grazing periods in the meadows in the Turano-Uyuk basin were determined.
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Faisal, BM Refat, Hafizur Rahman, Sukumar Dutta, Nasrin Sultana, and Md Abu Taleb Pramanik. "Relationship between Boro Rice Production and MODIS Derived NDVI for Rice Production Forecasting: A Case Study on Bangladesh." Dhaka University Journal of Earth and Environmental Sciences 8, no. 1 (2020): 33–40. http://dx.doi.org/10.3329/dujees.v8i1.50759.
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The present investigation illustrates an inclusive approach to extract remotely sensed Normalized Difference Vegetation Index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) (AQUA/TERRA) imageries to find out a relationship with Boro rice production for forecasting crop production in the context of Bangladesh. This study utilizes AQUA/TERRA MODIS reflectance data (250 m resolution) for the month of March (Peak-greenness period) to calculate the average NDVI values by following MODIS based algorithm at district level during 2011-2016. The linear regression analysis of calculated average NDVI and BBS estimated Boro rice production statistics reveals a significant positive relationship due to maximize photosynthetic activities. Among the regression equations from (2011-2016), the highest regression coefficients R2=0.87 and R2=0.85 for AQUA and TERRA MODIS data have been found respectively in 2015. Therefore this regression equation can be used for future estimation of Boro rice production at country scale. However, further testing and simulation of this regression model is required to generate Boro rice production forecasting dataset on timely basis. Hence this study summarizes that, NDVI based regression equation may be an effective process to forecast the Boro rice production which can play an important role in decision-making process relevant to the food security issues of Bangladesh.
 The Dhaka University Journal of Earth and Environmental Sciences, Vol. 8(1), 2019, P 33-40
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Lyu, Cheng-Hsuan, and William L. Barnes. "Ten Years of TRMM/VIRS On-Orbit Calibrations and Multiyear Comparisons of VIRS and MODIS." Journal of Atmospheric and Oceanic Technology 25, no. 12 (2008): 2259–70. http://dx.doi.org/10.1175/2008jtecha1110.1.
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Abstract After 10 years of successful operation of the Tropical Rainfall Measuring Mission (TRMM)/Visible Infrared Scanner (VIRS), based on sensor performance, the authors have reexamined the calibration algorithms and identified several ways to improve the current VIRS level-1B radiometric calibration software. This study examines the trends in VIRS on-orbit calibration results by using lunar measurements to enable separation of the solar diffuser degradation from that of the VIRS Earth-viewing sensor and by comparing the radiometric data with two nearly identical Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA Earth Observing System (EOS) Terra and Aqua satellites. For the VIRS, with spectral bands quite similar to several of the MODIS bands, the integrated lunar reflectance data were measured, from January 1998 to March 2007, at phase angles ranging from 0.94° to 121.8°. The authors present trending of the lunar data over periods of 4 yr (Aqua/MODIS), 6 yr (Terra/MODIS), and 10 yr (TRMM/VIRS) and use these observations to examine instrument radiometric stability. The VIRS-measured lunar irradiances are compared with the MODIS-measured lunar irradiances at phase angles around 54°–56°. With the upcoming modified VIRS level-1B version 7 calibration algorithm, the VIRS, along with MODIS, should provide better references for intercalibrating multiple Earth-observing sensors.
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Hieu, Bui Thi, Nguyen Duc Luong, Nguyen Hoang Hiep, and Bui Quang Trung. "Comparison of aerosol products retrieved from AERONET and MODIS over an urban area in Hanoi city, Vietnam." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 12, no. 5 (2018): 99–108. http://dx.doi.org/10.31814/stce.nuce2018-12(5)-10.
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Understanding the dynamics of aerosols and associated influence on regional and global climatic conditions requires the knowledge of spatial and temporal distributions of aerosols on regional and global scales. In this study, the satellite-based MODIS AODs retrievals level 2 products from Terra (MOD04-10 km) and Aqua (MYD04-10km) satellites are inter-compared with the ground-based AERONET AODs (level 2) over Nghia Do station located in an urban area of Hanoi city, Vietnam for the period of 2010-2016. The Terra AODs showed good-match with the ground-based AODs measurements (slope = 0.830, intercept = 0.099, RMSE = 0.260, R2 = 0.673, and RMB = 0.970). However, the Aqua AODs expressed systematically the underestimation of AERONET AODs (slope = 0.556, intercept = 0.184, RMSE = 0.390, R2 = 0.408, and RMB = 0.810). All MODIS AODs indicates the moderate correlation with AERONET AODs (slope = 0.683, intercept = 0.147, RMSE = 0.330, R2 = 0.520, and RMB = 0.890). Although MODIS AODs follow well the monthly variations of AERONET AODs, the relatively high discrepancy between MODIS and AERONET AODs can be observed during the winter months.
 Keywords: aerosol products; MODIS AODs; AERONET AODs; inter-comparison.
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Matthews, Grant. "Assessment of Terra/Aqua MODIS and Deep Convective Cloud Albedo Solar Calibration Accuracies and Stabilities Using Lunar Calibrated MERBE Results." Remote Sensing 14, no. 11 (2022): 2517. http://dx.doi.org/10.3390/rs14112517.
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Moon calibrated radiometrically stable and relatively accurate Earth reflected solar measurements from the Moon and Earth Radiation Budget Experiment (MERBE) are compared here to primary channels of coaligned Terra/Aqua MODIS instruments. A space-based climate observing system immune to untracked drifts due to varying instrument calibration is a key priority for climate science. Measuring these changes in radiometers such as MODIS and compensating for them is critical to such a system. The independent MERBE project using monthly lunar scans has made a proven factor of ten improvement in calibration stability and relative accuracy of measurements by all devices originally built for another project called ‘CERES’, also on the Terra and Aqua satellites. The MERBE comparison shown here uses spectrally invariant Deep Convective Cloud or DCC targets as a transfer, with the objective of detecting possible unknown MODIS calibration trends or errors. Most MODIS channel 1–3 collection 5 calibrations are shown to be correct and stable within stated accuracies of 3% relative to the Moon, much in line with changes made for MODIS collection 6. Stable lunar radiance standards are then separately compared to the sometimes used calibration metric of the coldest DCCs as standalone calibration targets, when also located by MODIS. The analysis overall for the first time finds such clouds can serve as an absolute solar target on the order of 1% accuracy and are stable to ±0.3% decade−1 with two sigma confidences, based on the Moon from 2000–2015. Finally, time series analysis is applied to potential DCC albedo corrected Terra data. This shows it is capable of beginning the narrowing of cloud climate forcing uncertainty before 2015; some twenty five years sooner than previously calculated elsewhere, for missions yet to launch.