Relevant bibliographies by topics / MODIS Terra

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Academic literature on the topic 'MODIS Terra'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "MODIS Terra"

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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Dissertations / Theses on the topic "MODIS Terra"

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BISHT, GAUTAM. "ESTIMATION OF NET RADIATION USING MODIS (MODERATE RESOLUTION IMAGING SPECTRORADIOMETER) TERRA DATA FOR CLEAR SKY DAYS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1092762401.

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Bisquert, Perles María del Mar. "Una metodología para la estimación del riesgo de incendio empleando imágenes del sensor MODIS/TERRA." Doctoral thesis, Universitat de València, 2011. http://hdl.handle.net/10803/80941.

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En esta Tesis se propone un modelo de estimación del riesgo de incendios forestales utilizando información proporcionada por imágenes de satélite, en concreto estudiando el estado de la vegetación a partir de los índices de vegetación, y combinándolo con otras variables. Para ello, se lleva a cabo un estudio comparativo de 8 índices espectrales distintos, obtenidos a partir de imágenes del sensor MODIS del periodo 2001-2006, relacionándolos con la frecuencia de incendios de la zona de estudio, la cual comprende las regiones de Galicia y Asturias, para seleccionar el índice más relacionado con los incendios. Se analiza la variación temporal de los índices en dos periodos consecutivos de 16 días comparándola con la frecuencia de incendios del periodo posterior. Se comprueba que el índice más adecuado es el EVI (Enhanced Vegetation Index). Una vez se ha decidido cuál es el mejor índice para la zona de estudio, se utiliza la regresión logística con el fin de obtener un modelo de predicción de incendios en el que se incluyen otras variables además del índice de vegetación, en concreto se incluye el historial de incendios en cada periodo del año, el historial de incendios de cada una de las celdas de 10x10 km en las que se registran los datos de incendios y la comunidad (Galicia o Asturias). El algoritmo que se obtiene de la regresión logística calcula la probabilidad condicional de que ocurra un incendio en función de dichas variables y además permite clasificar todos los casos en presencia o ausencia de incendio, de esta forma se comprueba que el modelo propuesto clasifica correctamente en torno al 70% de los casos analizados. A partir de los resultados de la regresión logística se definen cuatro niveles de riesgo de incendio que permiten obtener mapas de riesgo que ayudan a simplificar las tareas de prevención y extinción. La frecuencia de incendios observada en cada uno de estos niveles es del 10%, 27%, 43% y 66% para los niveles bajo, medio, alto y extremo.<br>A fire danger model is proposed using remote sensing data, specifically by using vegetation indices as indicators of the vegetation status, and combining these indices with other variables. A comparison of eight different spectral indices is performed from MODIS images of Galicia and Asturias regions for the period 2001-2006, relating the temporal evolution of the different indices to the frequency of fires in 16-day periods. The EVI (Enhanced Vegetation Index) is shown as the best index for fire danger estimation in these regions. Logistic regression is used for obtaining a fire danger model including the EVI and other variables, such as the fire history of each cell and period of year. With this variables a model with an accuracy of 70% is obtained. From the results of the logistic regression four danger levels are defined in order to obtain fire danger maps. Fire frequency obtained in each level is: 10%, 27%, 43% y 66% for low, medium, high and extreme levels.
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Nascimento, Cristina Rodrigues. "Correção atmosferica de imagens do sensor AVHRR/NOAA utilizando produtos atmosfericos do sensor MODIS/TERRA." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/257080.

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Orientador: Jurandir Zullo Junior<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola<br>Made available in DSpace on 2018-08-08T10:45:00Z (GMT). No. of bitstreams: 1 Nascimento_CristinaRodrigues_M.pdf: 15175487 bytes, checksum: d9905da2c3f9b6c5fa573693ce9e61a0 (MD5) Previous issue date: 2006<br>Resumo: O sensoriamento remoto nas regiões espectrais do visível e do infravermelho próximo constitui uma das ferramentas mais importantes para o entendimento da biosfera e de suas dinâmicas. Entretanto, estas duas regiões são afetadas pelos efeitos atmosféricos tais como, o espalhamento e a absorção,ocasionados por sua vez pelos aerossóis e gases atmosféricos. Na tentativa de obter o fator de reflectância bi-direcional da superfície terrestre, nos canais 1 e 2 do sensor AVHRR, foi realizada a correção atmosférica, baseada na entrada de dados, tais como espessura óptica dos aerossóis, coluna total de vapor d?água e carga total de ozônio, respectivamente fornecidos pelo sensor MODIS. O intuito da utilização deste sensor está diretamente relacionado à obtenção das informações, necessários para a correção atmosférica, considerando-se a variabilidade dos parâmetros no tempo e no espaço. Para tanto foi utilizado o aplicativo SCORADIS, fundamentado no modelo de transferência radiativa 5S, então adaptado, para possibilitar a correção atmosférica de toda a imagem do AVHRR a partir da entrada das imagens correspondentes aos planos atmosféricos, através da utilização de quatro metodologias distintas de correção atmosférica. As análises realizadas indicaram que as correções realizadas a partir dos dados atmosféricos do sensor MODIS apresentaram resultados coerentes com o esperado após a eliminação dos efeitos de espalhamento e de absorção atmosférica, nos canais 1 e 2 do NOAA-17, nas duas datas consideradas (14/07/2004 e 30/08/2005). Para o NDVI, a diferença percentual entre as imagens com e sem correção chegaram a ser de, aproximadamente, 60%, o que ressalta a importância da correção atmosférica destes canais, principalmente no acompanhamento da vegetação a partir de imagens multitemporais. Não se observou diferença significativa entre as metodologias utilizadas para a entrada dos dados atmosféricos no sistema de correção atmosférica, devido, possivelmente, à magnitude dos valores utilizados e à áreateste escolhida. Os produtos obtidos a partir das imagens do MODIS mostraram potencial para utilização na estimativa dos principais parâmetros atmosféricos necessários para a correção atmosférica (como a espessura óptica dos aerossóis e conteúdo de vapor d'água e ozônio) e que são de grande dificuldade para obtenção em campo<br>Abstract: Remote sensing in the spectral regions of visible and infrared is one of the most important techniques used for studying the biosphere. However these two spectral regions are affected by atmospheric effects as scattering and absorption, caused by aerosols and atmospheric gases. In the attempt to obtain the real reflectance of ground surface, in channels 1 and 2 of AVHRR sensor, was performed the atmospheric correction of two NOAA images acquired on July/14/2004 and August/30/2005, based on atmospheric data supplied by the MODIS sensor, considering the spatial and temporal variability of these parameters. The system SCORADIS, based on the radiative transfer model called 5S, was adapted to read images having values of aerosols optical thickness, water vapor content and ozone contents corresponding spatially to each pixel of a AVHRR/NOAA image. Four distinct methodologies were used to define the images of atmospheric parameters. Coherent results were obtained using atmospheric data from MODIS, indicating that the scattering and absorption effects were correctly eliminated from the NOAA images in the two dates considered. The difference between the NDVI calculated with corrected and noncorrected images was up to 60%, showing the importance of using corrected images in applications based on multitemporal images. There was not observed significant difference among the four methodologies applied to define the atmospheric data used in the atmospheric correction system due, maybe, to the magnitude of the values and to the atmospheric conditions of test-area. The atmospheric products from MODIS can be used to defining the input data (like aerosol optical thickness, water vapor contents and ozone contents) for the atmospheric correction systems of AVHRR/NOAA images<br>Mestrado<br>Planejamento e Desenvolvimento Rural Sustentável<br>Mestre em Engenharia Agrícola
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Rojas, Francisco. "Modulation transfer function analysis of the moderate resolution imaging spectroradiometer (MODIS) on the TERRA satellite." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280247.

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The Modulation Transfer Function (MTF) is a standard measure of imaging systems performance. This work addresses determination of the MTF for the Moderate Resolution Imaging Spectroradiometer (MODIS) Earth remote sensing system on NASA's TERRA satellite. Reliable characterization of the MODIS MTF requires using as many sources of information as possible for evaluation. In this research a model, pre-launch and on-orbit measurements are used to develop a consistent characterization of the MTF. The on-orbit characterization is implemented using two approaches. The first is cross-track temporal monitoring using data derived from the SpectroRadiometric Calibration Assembly (SRCA). The second is using a two-image approach in which the reference is Landsat-7 Enhanced Thematic Mapper (ETM+) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). This characterization of the MTF is used to evaluate the effect on science products, the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI), and includes partial MTF correction (MTFc) as a way to improve the accuracy. This work has produced the following significant results: (1) A model for the pre-launch MODIS MTF. (2) Automatic image registration using the geolocation data. (3) Cross-track on-orbit MTF are comparable to the pre-launch MTF for bands 1, 2, 6 and 29. (4) In-track on-orbit MTF indicate that it is lower for bands 1 and 2 (in most cases), and comparable for bands 6 and 29, in reference to the pre-launch MTF.
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Goessmann, Florian. "Improved spatial resolution of bushfire detection with MODIS." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/909.

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The capability to monitor bushfires on a large scale from space has long been identified as an important contribution to climate and atmospheric research as well as a tool an aid in natural hazard response. Since the work by Dozier (1981), fire monitoring from space has relied on the principles he described. His method of identifying fires within a pixel significantly larger than the fire by utilizing the different responses of the 3 μm and 11 μm channels has been applied to a number of sensors. Over the last decade a lot of work has been invested to refine and validate fire detections based on this approach. So far, the application of the method proposed by Dozier (1981) reached its peak with the launch of the MODIS instrument on board the Terra satellite. In contrast to earlier sensors, MODIS was equipped with spectral channels specifically designed for the detection of fires with algorithms based on the work by Dozier (1981). These channels were designed to overcome problems experienced with other platforms, the biggest of which is the saturation of the 3 μm channel caused by big, hot fires. Since its launch, MODIS has proven itself to be a capable platform to provide worldwide fire detection at a moderate resolution of 1 km on a daily basis.It is the intention of this work to open up new opportunities in remote sensing of fires from satellites by showing capabilities and limitations in the application of other spectral channels, in particular the 2.1 μm channel of MODIS, than the ones currently used. This channel is chosen for investigation as fires are expected to emit a significant amount of energy in this bandwidth and as it is available at a native resolution of 500 m on MODIS; double the resolution of the 3 μm and 11 μm channels. The modelling of blackbodies of typical bushfire temperatures shows that a fire detection method based on the 2.1 μm channel will not be able to replace the current methods. Blackbodies of temperatures around 600 to 700 K, that are common for smoldering fires, do not emit a great amount of energy at 2.1 μm. It would be hardly possible to detect those fires by utilizing the 2.1 μm channel. The established methods based on the 3 μm and 11 μm channels are expected to work better in these cases. Blackbodies of typically flaming fires (above 800 K) however show a very high emission around 2.1 μm that should make their detection using the 2.1 μm channel possible.In order to develop a fire detection method based on the 2.1 μm channel, it is necessary to differentiate between the radiance caused by a fire of sub pixel size and the radiance of a pixel caused by the reflection of sunlight. This is attempted by using time series of past observations to model a reflectance value for a given pixel expected in absence of a fire. A fire detection algorithm exploiting the difference between the expected and observed reflectance is implemented and its detection results are compared to high resolution ASTER fire maps, the standard MODIS fire detection algorithm (MOD14) and burnt area maps. The detections of the method based on the 2.1 μm channel are found to correspond very well with the other three datasets. However, the comparison showed detections that do not align with MOD14 active fire detections but are generally aligned with burn areas. This phenomena has to be investigated in the future.
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Hudson, Dunn Allisyn. "Land Surface Phenology of North American Mountain Environments Using the Terra Moderate Resolution Imaging Spectroradiometer." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34149.

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Monitoring and understanding plant phenology is becoming an increasingly important way to identify and model global changes in vegetation life cycle events. Although numerous studies have used synoptically sensed data to study phenological patterns at the continental and global scale, relatively few have focused on characterizing the land surface phenology of specific ecosystems. Mountain environments provide excellent examples of how variations in topography, elevation, solar radiation, temperature, and spatial location affect vegetation phenology. High elevation biomes cover twenty percent of the Earthâ s land surface and provide essential resources to both the human and non-human population. These areas experience limited resource availability for plant growth, development, and reproduction, and are one of the first ecosystems to reflect the harmful impact of climate change. Despite this, the phenology of mountain ecosystems has historically been understudied due to the rough and variable terrain and inaccessibility of the area. Here, we use two MODIS/Terra satellite 16-day products, Vegetation Index and Nadir BRDF Adjusted Reflectance, to assess start of season (SOS) for the 2007 calendar year. Independent data for elevation, slope, aspect, solar radiation, and temperature as well as longitude and latitude were then related to the SOS output. Based on the results of these analyses, we found that SOS can be predicted with a significant R² (0.55-0.64) for each individual zone as well as the entire western mountain range. While both elevation and latitude have significant influences on the timing of SOS for all six study areas. When examined at the regional scale and accounting for aspect, SOS follows closely with Hopkinsâ findings in regard to both elevation and latitude.<br>Master of Science
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7

Goessmann, Florian. "Improved spatial resolution of bushfire detection with MODIS." Curtin University of Technology, Department of Applied Physics, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17134.

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The capability to monitor bushfires on a large scale from space has long been identified as an important contribution to climate and atmospheric research as well as a tool an aid in natural hazard response. Since the work by Dozier (1981), fire monitoring from space has relied on the principles he described. His method of identifying fires within a pixel significantly larger than the fire by utilizing the different responses of the 3 μm and 11 μm channels has been applied to a number of sensors. Over the last decade a lot of work has been invested to refine and validate fire detections based on this approach. So far, the application of the method proposed by Dozier (1981) reached its peak with the launch of the MODIS instrument on board the Terra satellite. In contrast to earlier sensors, MODIS was equipped with spectral channels specifically designed for the detection of fires with algorithms based on the work by Dozier (1981). These channels were designed to overcome problems experienced with other platforms, the biggest of which is the saturation of the 3 μm channel caused by big, hot fires. Since its launch, MODIS has proven itself to be a capable platform to provide worldwide fire detection at a moderate resolution of 1 km on a daily basis.<br>It is the intention of this work to open up new opportunities in remote sensing of fires from satellites by showing capabilities and limitations in the application of other spectral channels, in particular the 2.1 μm channel of MODIS, than the ones currently used. This channel is chosen for investigation as fires are expected to emit a significant amount of energy in this bandwidth and as it is available at a native resolution of 500 m on MODIS; double the resolution of the 3 μm and 11 μm channels. The modelling of blackbodies of typical bushfire temperatures shows that a fire detection method based on the 2.1 μm channel will not be able to replace the current methods. Blackbodies of temperatures around 600 to 700 K, that are common for smoldering fires, do not emit a great amount of energy at 2.1 μm. It would be hardly possible to detect those fires by utilizing the 2.1 μm channel. The established methods based on the 3 μm and 11 μm channels are expected to work better in these cases. Blackbodies of typically flaming fires (above 800 K) however show a very high emission around 2.1 μm that should make their detection using the 2.1 μm channel possible.<br>In order to develop a fire detection method based on the 2.1 μm channel, it is necessary to differentiate between the radiance caused by a fire of sub pixel size and the radiance of a pixel caused by the reflection of sunlight. This is attempted by using time series of past observations to model a reflectance value for a given pixel expected in absence of a fire. A fire detection algorithm exploiting the difference between the expected and observed reflectance is implemented and its detection results are compared to high resolution ASTER fire maps, the standard MODIS fire detection algorithm (MOD14) and burnt area maps. The detections of the method based on the 2.1 μm channel are found to correspond very well with the other three datasets. However, the comparison showed detections that do not align with MOD14 active fire detections but are generally aligned with burn areas. This phenomena has to be investigated in the future.
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Khaghani, Ali, and Ali Khaghani. "Spatiotemporal Analysis of Aerosol Over A Major Salt Lake Region: Case Study of Lake Urmia In Iran." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624115.

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Lake Urmia (LU), which once had been the second largest hypersaline lake in the world, and greatest in the Middle East, has undergone severe environmental changes during recent years that have led to widespread desiccation. These changes have converted the lakebed into a significant Aeolian mineral source, which promotes aerosol plumes that can seriously impact downwind regions. A question remains as to how significant emissions are from LU as compared to others impacting the West and East Azarbaijan provinces encompassing LU. This study uses daily Aerosol Optical Depth (AOD) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) between 2001 and 2015 to show that AOD levels are significantly larger in the latter half of the study period (2008-2015) with AOD values in the West consistently being lower but approaching those of the East with time owing to a combination of increasing emissions from the West province and neighboring areas. While the interannual AOD profile over Azarbaijan resembles that of Iraq owing to transported dust, signatures of the local impact of increasing emissions is evident over the 15-year time period, especially in the months outside of the peak dust season (January, February and October) and on the immediate periphery of LU. Consequently, the spatial profile of AOD over Azarbaijan is not uniform but with distinct hot spot. The onset of the spring AOD ramp-up over Azarbaijan is shown to have started earlier (in February) when comparing 2009-2015 versus earlier years. Correlative analysis confirms that AOD is related to factors promoting dust emissions but also reveals that smoke contributes to AOD over Azarbaijan during the summer months.
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Djamai, Najib. "Exploitation des images satellitaires Modis-Terra pour la caractérisation des états de surface : cas de la Tunisie." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27678/27678.pdf.

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Todt, Viviane. "Detecção em tempo real de desflorestamentos na Amazônia com uso de dados MODIS/TERRA e redes neurais." Instituto Nacional de Pesquisas Espaciais, 2007. http://urlib.net/sid.inpe.br/mtc-m17@80/2007/12.19.10.36.

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Essa pesquisa tem como objetivo principal propor uma metodologia para a detecção em tempo real (diária) dos novos desmatamentos causados por corte raso sobre áreas de floresta na Amazônia brasileira. Definiu-se parte do município de Porto Velho, estado de Rondônia, como área de estudo e o período de 20-maio a 15-julho-2003, aproximadamente dois meses, como o período de estudo no qual os novos desflorestamentos ocorridos foram mapeados e analisados. Devido à disponibilidade de dados MODIS/TERRA com alta repetitividade e resolução espacial moderada e a possibilidade de empregar técnicas de Inteligência Computacional na detecção de mudanças de cobertura e uso do solo, a metodologia aqui proposta baseia-se na integração entre esses dados multitemporais (extraídos de imagens fração oriundas do Modelo Linear de Mistura Espectral) e uma rede neural artificial para a detecção em tempo real dos novos desflorestamentos. Utilizou-se uma rede neural conhecida como Perceptron de Múltiplas Camadas com algoritmo de retropropagação de erros para avaliar a qualidade da estimativa da variável Razão_PixelPuro utilizada como indicadora para a geração de alarmes de desmatamento. A principal contribuição dessa tese está associada à geração de mecanismos que podem auxiliar na automatização de sistemas do tipo alerta, além do entendimento do comportamento temporal (dinâmica) dos novos desflorestamentos na região.<br>This research aims to show a methodology for real-time monitoring of new deforestation caused by clearcutting of forested areas in the Brazilian Amazon. A part of Rondonia State was chosen as the study area in the period of time from May 20 to July 15, 2003, nearly two months, where new deforestations were mapped and analysed. Due to the availability of Terra- MODIS data, with high repetitiveness and moderate spatial resolution, and the possibility to employ Computational Intelligence techniques for land-cover change detection, the methodology proposed here is based on the integration of multitemporal data and an artificial neural net for the real-time monitoring of new deforestations. A Multi-Layer Perceptron with Backpropagation algorithm was employed to evaluate the quality of variable used as indicator for deforestation alarm generation. The main contribution of this research is on the production of mechanisms that may help automate alarm systems, also understand temporal profiles (dynamic) of new deforestations in the region.
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Books on the topic "MODIS Terra"

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United States. National Aeronautics and Space Administration, ed. Terra MODIS Oceans Data, etc., Vol. 2, Disk 1-2, Issued Janauary 2003, (CD-ROM). s.n., 2003.

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Asanuma, Ichio, Keitarō Hara, Ichirō Tagoshima та Yoshizumi Yasuda. 宇宙から見た日本・東アジア: NASA Eisei (Terra/Aqua) MODIS gazōshū. Tōkyō Jōhō Daigaku Gakujutsu Furontia Kyōdō Kenkyū Suishin Sentā, 2006.

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Hamel, Dany. Les modes de fabrication des terres cuites communes de production locale à Québec à la fin du XVIIe siècle. CELAT, 2009.

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Bergès, Gabrielle. Les lampes de Montans (Tarn): Une production céramique des 1er et IIe s. ap. J.-C. : modes de fabrication, typologie et chronologie. Editions de la Maison des sciences de l'homme, 1989.

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Xavier, Glauber Lopes. O ocaso da terra e as desventuras do humano: Modos de vida e trabalho rural na aurora do novo século. Oikos Editora, 2017.

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Eugenia, Núñez Clara, and International Economic History Congress (12th : 1998 : Madrid, Spain)., eds. Land, labour and tenure: The institutional arrangements of conflict and cooperation in comparative perspective = Terre, travail et modes de faire-valoir: aspects institutionnels des conflicts et da la coopérations dans une perspective comparative = Tierra, trabajo y tenencia: estructuras institucionales de conflicto y cooperación desde una perspectiva comparativa. Secretariado de Publicaciones de la Universidad de Sevilla, 1998.

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Chauveau, Jean-Pierre, Philippe Lavigne Delville, Jean Philippe Colin, Pierre-Yves Le Meur, and Jean-Pierre Jacob. Modes D'acces a La Terre, Marches Fonciers, Gouvernance Et Politiques Foncieres En Afrique De L'Ouest. International Institute for Environment and Development, 2006.

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Seager, Joni. Atlas de la Terre : Le coût écologique de nos modes de vie, la politique des États, une vision d'ensemble. Autrement, 1995.

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LANDIVAR, Diego, ed. Expériences pédagogiques depuis l'Anthropocène. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.9782813004239.

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Penser les bouleversements climatiques et écologiques en cours nécessite de mobiliser tous les espaces épistémiques et cognitifs qui traversent nos sociétés. Une nouvelle ère climatique, une telle bifurcation de la trajectoire de nos modes d’habitabilité sur Terre, ne peuvent laisser nos contenus, nos cadrages et nos institutions pédagogiques intactes. La facilité ici consisterait à se conforter dans l’idée que nos schémas épistémiques, nos établissements, nos disciplines, seraient naturellement bien armés pour penser et agir à la hauteur de nos situations critiques. Il suffirait alors de faire un aggiornamento de nos réflexes pédagogiques pour « prendre en compte » la nouvelle situation écologique planétaire. Cet ouvrage nous invite à aller au-delà d’une simple actualisation de l’éducation au développement durable. Il rassemble des témoignages qui ont pour commun de penser et proposer des expériences pédagogiques situées, non pas sur l’anthropocène, mais depuis l’anthropocène. Loin de se cantonner à dresser un inventaire critique des options pédagogiques présentes, les contributions rassemblées ici cherchent à bâtir une stratégie pédagogique à la hauteur des enjeux épistémiques que génère l’urgence écologique et climatique. Elles nous invitent donc bien sûr à mettre à l’épreuve nos modèles pédagogiques, disciplinaires et institutionnels, mais aussi à porter une vigilance conceptuelle et méthodologique accrue pour sortir d’une vision téléologique, scientiste et apolitique de l’anthropocène.
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Uma floresta de disputas: conflitos sobre espaços, recursos e identidades sociais na Amazônia. Editora da UFSC, 2021. http://dx.doi.org/10.5007/978-65-5805-027-8.

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O livro "Uma floresta de disputas", da antropóloga Edviges Ioris, é uma fascinante etnografia sobre os conflitos sociais decorrentes da criação e implantação da Floresta Nacional do Tapajós, no Oeste do estado do Pará. Um de seus aportes antropológicos mais importantes reside na forma como desvenda a história, os valores e as identidades que motivam cada um dos atores sociopolíticos nos conflitos para então analisar os distintos âmbitos sociais, econômicos e administrativos por onde eles se expressam. Entre as várias questões que o livro aborda, encontramos o processo histórico de ocupação da região, desde a ocupação colonial aos tempos atuais, que nos ajuda a entender a contemporaneidade dos indígenas na região. Além de descrever as fortes mudanças nos modos de vida e constituição étnica desses povos indígenas, também mostra como esses povos, mesmo diante das constantes pressões externas, exerceram seu protagonismo e conseguiram manter importantes elementos de suas organizações socioculturais, assim como de seus padrões coletivos de uso da terra. Assim, seguindo etnograficamente as intricadas relações entre as comunidades locais e os agentes relacionados à conformação da Flona Tapajós, Edviges analisa as distintas formas e estratégias de resistência dessas comunidades e os processos de disputas, ressignificação e reconstrução das suas identidades sociais e de suas territorialidades. Indiscutivelmente fenômeno instigante nesses processos, o movimento de reelaboração das identidades indígenas, iniciado em 1998, assinala a força dessa reconstrução de antigas referências e tradições culturais, e o poder desses grupos de construir-se como sujeitos políticos a ponto de modificarem radicalmente a composição territorial da Flona Tapajós. Este livro traz uma importante contribuição para distintos campos do saber e fornece subsídios críticos para pessoas interessadas na história do ambientalismo e das reservas florestais no Brasil, na construção das identidades indígenas, assim como nos estudos sobre a Amazônia brasileira. (Dr. Paul E. Little)
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Book chapters on the topic "MODIS Terra"

1

Schaaf, Crystal Barker, Jichung Liu, Feng Gao, and Alan H. Strahler. "Aqua and Terra MODIS Albedo and Reflectance Anisotropy Products." In Land Remote Sensing and Global Environmental Change. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6749-7_24.

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Johnsen, Klaus-Peter. "NWP Model Specific Humidities Compared with CHAMP/GPS and TERRA/MODIS Data." In First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-38366-6_64.

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Koulgi, Pradeep, and M. D. Madhusudan. "Conservation II—Assessing Agricultural Intensification Near Protected Areas." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_55.

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AbstractProtected Areas (PAs) in many densely populated tropical regions are often small in area, and are enormously influenced by the broader production landscapes in which they are found. Changes in the agricultural matrix surrounding a PA can have a profound impact on the PA’s wildlife and on neighboring resident human communities. In this chapter, we will examine greening trend changes in the exteriors of 186 PAs in Western India from 2000 to 2021 using MODIS Terra vegetation indices, a Sen’s slope linear trend estimator, and other summary techniques available in Earth Engine. We will use these techniques to investigate how these greening trends are distributed in relation to the precipitation regimes of a given PA site.
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Xiong, Xiaoxiong, Robert Wolfe, William Barnes, et al. "Terra and Aqua MODIS Design, Radiometry, and Geometry in Support of Land Remote Sensing." In Land Remote Sensing and Global Environmental Change. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6749-7_7.

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Brazeau, Stéphanie, Cécile Vignolles, Ramesha S. Krishnamurthy, et al. "Needs, challenges, and opportunities: a review by experts." In Earth observation, public health and one health: activities, challenges and opportunities. CABI, 2022. http://dx.doi.org/10.1079/9781800621183.0003.

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Abstract This book chapter discusses all the information collected has been grouped together into eight categories: (i) aligning with and supporting UN Sustainable Development Goals; (ii) focusing on public health needs and key theme areas for further research; (iii) accessing and developing Earth Observation (EO) and geospatial evidence-based data and products leveraging public health capacities; (iv) developing a sustainable community of practice; (v) developing knowledge and know-how; (vi) developing solutions: methods, tools, and systems; (vii) implementing technical infrastructures and technologies; and (viii) participating in EO satellite mission development for monitoring disease risks. One such advancement attributable to Landsat data is the ability to monitor changing patterns in forest cover loss and human encroachment on previously wild areas that allows for better prediction of zoonotic disease emergence. For example, the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors onboard the US Aqua and Terra satellites offer atmosphere, land, cryosphere, and ocean products that are used in several user communities. MODIS indicator data sets have been so successful that they do not require additional remote sensing analysis; they can be used directly in predictive models. Some EO satellite systems offer ARD (i.e. pre-processed images) and related information products derived from the raw data stream generated by the satellite instruments and the use of algorithms.
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Kukoba, Nikolay, Yulia Ivanova, and Irina Botvich. "The Influence of Altitudinal Zonality on Spectral Characteristics (MODIS/Terra) Mountain Forests of Western Sayan." In Climate Change Impacts on High-Altitude Ecosystems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12859-7_26.

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Levy, Robert C., Lorraine A. Remer, Yingxi Shi, and Richard G. Kleidman. "Characterizing Aerosol from Space with the MODerate-resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua Satellites." In Handbook of Air Quality and Climate Change. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-15-2527-8_60-1.

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Levy, Robert C., Lorraine A. Remer, Yingxi Shi, and Richard G. Kleidman. "Characterizing Aerosol from Space with the MODerate-resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua Satellites." In Handbook of Air Quality and Climate Change. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-15-2760-9_60.

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Al Jassar, Hala, Peter Petrov, Ali Al Hemoud, Abdullah Al-Enezi, and Abeer Alsaleh. "Applications of Remote Sensing in Kuwait." In The Geology of Kuwait. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16727-0_10.

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AbstractSatellite Remote Sensing can provide a valuable source of information in different applications and is considered an important tool for disaster management and support for decision-making in the state of Kuwait. This is especially valid for the cloudless atmosphere of Arabia. In this chapter, some examples related to geology ideas are presented. The application of satellite remote sensing techniques using both passive and active sensors is presented over Kuwait desert and marine. This includes academic studies of soil moisture, land subsidence, and operational monitoring of recent flash floods, dust storms, and oil spills detected by optical and SAR instruments from various space satellite platforms over the territory of the state of Kuwait. Operational monitoring of dust storms, especially sever jets from Iraq was performed with MODIS NASA/Terra and Aqua instruments, the oil pollution in the Northern Gulf oil fields was very effectively detected by Sentinel SAR-C instrument of Copernicus/ESA, and some rain floods in urban areas in winter were analyzed by high-resolution instruments of Pleiades.
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Aminuddin, Jamrud, Absaralita Sabarati, Ariantika Rahmawati, et al. "The LST and NDVI Before and After Earthquake of West Celebes 2021 Using Terra/Aqua MODIS Satellite Image." In Springer Proceedings in Earth and Environmental Sciences. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5746-6_9.

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Conference papers on the topic "MODIS Terra"

1

Chang, Tiejun, Carlos L. Pérez Díaz, Truman M. Wilson, and Xiaoxiong Xiong. "Lunar phase angle impact on Aqua and Terra MODIS PV LWIR crosstalk coefficients calculation." In Earth Observing Systems XXIX, edited by Xiaoxiong (Jack) Xiong, Xingfa Gu, and Jeffrey S. Czapla-Myers. SPIE, 2024. http://dx.doi.org/10.1117/12.3028037.

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Rajak, Akanksha M., and Deepak Subramani. "Comparison of Convolutional Autoencoder Architectures for Representation Learning of MODIS Aqua and Terra Observations." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640481.

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Xiong, X., A. Angal, A. Wu, W. Barnes, and V. Salomonson. "Terra and Aqua MODIS instrument performance." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730927.

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Thome, Kurtis J., Jeffrey S. Czapla-Myers, and Stuart F. Biggar. "Vicarious calibration of Aqua and Terra MODIS." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by William L. Barnes. SPIE, 2003. http://dx.doi.org/10.1117/12.506364.

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Xiaoxiong Xiong, B. Wenny, Tiejun Chang, et al. "Status of Terra and Aqua MODIS instruments." In 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010). IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5653866.

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Xiong, Xiaoxiong, Nianzeng Che, Farida Adimi, and William L. Barnes. "On-orbit spatial characterizations for Terra MODIS." In International Symposium on Optical Science and Technology, edited by William L. Barnes. SPIE, 2002. http://dx.doi.org/10.1117/12.451974.

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Lyu, C., J. Sun, X. Xiong, and W. L. Barnes. "Multiyear lunar observations from TRMM/VIRS, Terra/MODIS, and Aqua/MODIS." In SPIE Optics + Photonics, edited by Wei Gao and Susan L. Ustin. SPIE, 2006. http://dx.doi.org/10.1117/12.679084.

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Wald, Andrew, Jake Brinkmann, Aisheng Wu, and Jack Xiong. "Estimating terra MODIS polarization effect using ocean data." In SPIE Defense + Security, edited by Weilin W. Hou and Robert A. Arnone. SPIE, 2016. http://dx.doi.org/10.1117/12.2222585.

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Thome, Kurtis J., Stuart F. Biggar, and Hyun J. Choi. "Vicarious calibration of Terra ASTER, MISR, and MODIS." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by William L. Barnes and James J. Butler. SPIE, 2004. http://dx.doi.org/10.1117/12.559942.

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Franz, Bryan A., Ewa J. Kwiatkowska, Gerhard Meister, and Charles R. McClain. "Utility of MODIS-Terra for ocean color applications." In Optical Engineering + Applications, edited by James J. Butler and Jack Xiong. SPIE, 2007. http://dx.doi.org/10.1117/12.732082.

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Reports on the topic "MODIS Terra"

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Luo, Y., A. Trishchenko, R. Latifovic, K. Khlopenkov, and Z. Li. BRDF/Albedo retrievals from the Terra and Aqua MODIS systems at 500-meter spatial resolution and 10-day intervals. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/220101.

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