Relevant bibliographies by topics / Moderate Resolution Imaging Radiometer (MODIS)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Moderate Resolution Imaging Radiometer (MODIS)'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Heidinger, Andrew K., Changyong Cao, and Jerry T. Sullivan. "Using Moderate Resolution Imaging Spectrometer (MODIS) to calibrate advanced very high resolution radiometer reflectance channels." Journal of Geophysical Research: Atmospheres 107, no. D23 (2002): AAC 11–1—AAC 11–10. http://dx.doi.org/10.1029/2001jd002035.

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Davis, Robert E., Thomas H. Painter, Rick Forster, et al. "NASA Cold Land Processes Experiment (CLPX 2002/03): Spaceborne Remote Sensing." Journal of Hydrometeorology 9, no. 6 (2008): 1427–33. http://dx.doi.org/10.1175/2008jhm926.1.

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Abstract This paper describes satellite data collected as part of the 2002/03 Cold Land Processes Experiment (CLPX). These data include multispectral and hyperspectral optical imaging, and passive and active microwave observations of the test areas. The CLPX multispectral optical data include the Advanced Very High Resolution Radiometer (AVHRR), the Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Multi-angle Imaging Spectroradiometer (MISR). The spaceborne hyperspectral optical data consist of measurements acqu
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Albert, P., R. Bennartz, R. Preusker, R. Leinweber, and J. Fischer. "Remote Sensing of Atmospheric Water Vapor Using the Moderate Resolution Imaging Spectroradiometer." Journal of Atmospheric and Oceanic Technology 22, no. 3 (2005): 309–14. http://dx.doi.org/10.1175/jtech1708.1.

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Abstract This paper presents first validation results for an algorithm developed for the retrieval of integrated columnar water vapor from measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board the polar-orbiting Terra and Aqua platforms. The algorithm is based on the absorption of reflected solar radiation by atmospheric water vapor and allows the retrieval of integrated water vapor above cloud-free land surfaces. A comparison of the retrieved water vapor with measurements of the Microwave Water Radiometer at the Atmospheric Radiation Measurement (ARM) S
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Lee, Thomas F., Steven D. Miller, Carl Schueler, and Shawn Miller. "NASA MODIS Previews NPOESS VIIRS Capabilities." Weather and Forecasting 21, no. 4 (2006): 649–55. http://dx.doi.org/10.1175/waf935.1.

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Abstract The Visible/Infrared Imager Radiometer Suite (VIIRS), scheduled to fly on the satellites of the National Polar-orbiting Operational Environmental Satellite System, will combine the missions of the Advanced Very High Resolution Radiometer (AVHRR), which flies on current National Oceanic and Atmospheric Administration satellites, and the Operational Linescan System aboard the Defense Meteorological Satellite Program satellites. VIIRS will offer a number of improvements to weather forecasters. First, because of a sophisticated downlink and relay system, VIIRS latencies will be 30 min or
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Hall, Dorothy K., Josefino C. Comiso, Nicolo E. DiGirolamo, Christopher A. Shuman, Jeffrey R. Key, and Lora S. Koenig. "A Satellite-Derived Climate-Quality Data Record of the Clear-Sky Surface Temperature of the Greenland Ice Sheet." Journal of Climate 25, no. 14 (2012): 4785–98. http://dx.doi.org/10.1175/jcli-d-11-00365.1.

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Abstract The authors have developed a climate-quality data record of the clear-sky surface temperature of the Greenland Ice Sheet using the Moderate-Resolution Imaging Spectroradiometer (MODIS) ice-surface temperature (IST) algorithm. Daily and monthly quality-controlled MODIS ISTs of the Greenland Ice Sheet beginning on 1 March 2000 and continuing through 31 December 2010 are presented at 6.25-km spatial resolution on a polar stereographic grid along with metadata to permit detailed accuracy assessment. The ultimate goal is to develop a climate data record (CDR) that starts in 1981 with the A
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Hadjimitsis, D., Z. Mitraka, I. Gazani, A. Retalis, N. Chrysoulakis, and S. Michaelides. "Estimation of spatio-temporal distribution of precipitable water using MODIS and AVHRR data: a case study for Cyprus." Advances in Geosciences 30 (May 9, 2011): 23–29. http://dx.doi.org/10.5194/adgeo-30-23-2011.

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Abstract. In this paper, the atmospheric precipitable water (PW) over the area of Cyprus was estimated by means of Advanced Very High Resolution Radiometer (AVHRR) thermal channels brightness temperature difference (ΔT). The AVHRR derived ΔT was calculated in a grid of 5 × 5 km cells; the corresponding PW value in each grid cell was extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) Level 2 product (near-infrared algorithm). Once the PW – ΔT relationship coefficients corresponding to the area of Cyprus were calculated, the relationship was applied to AVHRR data for one month
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Fan, Xia, and Chen. "Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain." Atmosphere 10, no. 9 (2019): 480. http://dx.doi.org/10.3390/atmos10090480.

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In this study, using Aerosol Robotic Network aerosol optical depth (AOD) products at three stations in the North China Plain (NCP)—a heavily polluted region in China—the AOD products from six satellite-borne radiometers: the Moderate Resolution Imagining Spectroradiometer (MODIS), the Multiangle Imaging Spectroradiometer (MISR), Ozone Mapping Imaging (OMI), the Visible Infrared Imaging Radiometer (VIIRS), the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), and Polarization and Directionality of the Earth’s Reflectances (POLDER), were thoroughly validated, shedding new light on their advantage
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Uprety, Sirish, Changyong Cao, Xiaoxiong Xiong, Slawomir Blonski, Aisheng Wu, and Xi Shao. "Radiometric Intercomparison between Suomi-NPP VIIRS and Aqua MODIS Reflective Solar Bands Using Simultaneous Nadir Overpass in the Low Latitudes." Journal of Atmospheric and Oceanic Technology 30, no. 12 (2013): 2720–36. http://dx.doi.org/10.1175/jtech-d-13-00071.1.

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Abstract On-orbit radiometric performance of the Suomi National Polar-Orbiting Partnership (Suomi-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) is studied using the extended simultaneous nadir overpass (SNO-x) approach. Unlike the traditional SNO analysis of data in the high latitudes, this study extends the analysis to the low latitudes—in particular, over desert and ocean sites with relatively stable and homogeneous radiometric properties—for intersatellite comparisons. This approach utilizes a pixel-by-pixel match with an efficient geospatial matching algorithm to map VIIRS data in
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Mizuochi, Hiroki, Yoshihiro Iijima, Hirohiko Nagano, Ayumi Kotani, and Tetsuya Hiyama. "Dynamic Mapping of Subarctic Surface Water by Fusion of Microwave and Optical Satellite Data Using Conditional Adversarial Networks." Remote Sensing 13, no. 2 (2021): 175. http://dx.doi.org/10.3390/rs13020175.

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Surface water monitoring with fine spatiotemporal resolution in the subarctic is important for understanding the impact of climate change upon hydrological cycles in the region. This study provides dynamic water mapping with daily frequency and a moderate (500 m) resolution over a heterogeneous thermokarst landscape in eastern Siberia. A combination of random forest and conditional generative adversarial networks (pix2pix) machine learning (ML) methods were applied to data fusion between the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Microwave Scanning Radiometer 2,
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Borbas, Eva E., and Paul W. Menzel. "Observed HIRS and Aqua MODIS Thermal Infrared Moisture Determinations in the 2000s." Remote Sensing 13, no. 3 (2021): 502. http://dx.doi.org/10.3390/rs13030502.

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This paper compares the tropospheric moisture data records derived from High-resolution Infrared Radiation Sounder (HIRS) and Moderate Resolution Imaging Spectro-radiometer (MODIS) measurements from the years 2003 through 2013. Total Precipitable Water Vapor (TPW) and Upper Tropospheric Precipitable Water Vapor (UTPW) are derived using the infrared spectral bands in the CO2 and H2O absorption bands as well as in the atmospheric windows. Retrieval of TPW and UTPW uses a statistical regression algorithm performed using clear sky radiances (and Brightness Temperatures) measured over land and ocea
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Dissertations / Theses on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Lee, Song-Weon. "Investigation of techniques for improvement of seasonal streamflow forecasts in the Upper Rio Grande." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2764.

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The purpose of this dissertation is to develop and evaluate techniques for improvement of seasonal streamflow forecasts in the Upper Rio Grande (URG) basin in the U.S. Southwest. Three techniques are investigated. The first technique is an investigation of the effects of the El Ni??o/Southern Oscillation (ENSO) on temperature, precipitation, snow water equivalent (SWE), and the resulting streamflow at a monthly time scale, using data from 1952 to 1999 (WY). It was seen that the effects of ENSO on temperature and precipitation were confined to certain months, predominantly at the beginning and
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Braga, Alexandre. "Modulation Transfer Function Derivation for Spatial Calibration of NASA's Moderate Resolution Imaging Spectroradiometer (MODIS)." Thesis, The University of Arizona, 2000. http://hdl.handle.net/10150/615080.

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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 mo
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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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Abbas, Mohd Manzar. "Developing Ocean Color Algorithm using Moderate Resolution Imaging Spectroradiometer (MODIS) Sensor for Shallow Coastal Water Bodies." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3733.

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This study analyses the spatial and temporal variability of chlorophyll-a in Chesapeake Bay; assesses the performance of Ocean Color 3M (OC3M) algorithm; and develops a novel algorithm to estimate chlorophyll-a for coastal shallow water. The OC3M algorithm yields an accurate estimate of chlorophyll-a concentration for deep ocean water (RMSE=0.016), but it failed to perform well in the coastal water system (RMSE=23.17) of Chesapeake Bay. A novel algorithm was developed which utilizes green and red bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The novel algorithm der
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Wang, Zhuosen. "The moderate-resolution imaging spectroradiometer (MODIS) reflectance anisotropy and albedo of dormant and snow-covered canopies." Thesis, Boston University, 2011. https://hdl.handle.net/2144/38112.

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Thesis (Ph.D.)--Boston University<br>PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>Data from NASA's MODerate Resolution Imaging Spectroradiometer (MODIS), in polar orbit on the Terra and Aqua platforms, have provided surface bidirectional reflectance distribution function (BRDF) and albedo
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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 o
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Bisht, Gautam. "Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) Terra Data for clear sky days." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1092762401.

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Tsela, Philemon Lehlohonolo. "Validation of the moderate-resolution satellite burned area products across different biomes in South Africa." Diss., University of Pretoria, 2011. http://hdl.handle.net/2263/31391.

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Biomass burning in southern Africa has brought significant challenges to the research society as a fundamental driver of climate and land cover changes. Burned area mapping approaches have been developed that generate large-scale low and moderate resolution products made with different satellite data. This consequently afford the remote sensing community a unique opportunity to support their potential applications in e.g., examining the impact of fire on natural resources, estimating the quantities of burned biomass and gas emissions. Generally, the satellite-derived burned area products produ
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Sus, Oliver. "Simulating the carbon cycling of croplands : model development, diagnosis, and regional application through data assimilation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6188.

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In the year 2000, croplands covered about 12% of the Earth’s ice-free land surface. Through cropland management, humankind momentarily appropriates about 25% of terrestrial ecosystem productivity. Not only are croplands a key element of human food supply, but also bear potential in increased carbon (C) uptake when best-practice land management approaches are adopted. A detailed assessment of the impact of land use on terrestrial ecosystems can be achieved by modelling, but the simulation of crop C cycling itself is a relatively new discipline. Observational data on crop net ecosystem exchange
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Books on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Administration, United States National Aeronautics and Space. MODIS: Moderate-resolution Imaging Spectrometer. NASA, 1987.

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Hall, Dorothy K. First Moderate Resolution Imaging Spectroradiometer (MODIS) Snow and Ice Workshop: Proceedings of a workshop sponsored by the NASA/Goddard Space Flight Center and held at the U.S. Geological Survey in Reston, Virginia and at Goddard Space Flight Center in Greenbelt, Maryland, September 13-14, 1995. Goddard Space Flight Center, 1995.

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Center, Goddard Space Flight, ed. MODIS: Moderate resolution imaging spectroradiometer. The Administration, Goddard Space Flight Center, 1995.

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Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Goddard DAAC (Goddard Space Flight Center), ed. Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Goddard DAAC (Goddard Space Flight Center), ed. Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Goddard DAAC (Goddard Space Flight Center), ed. Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Moderate-resolution imaging spectroradiometer (MODIS): Data from the Goddard DAAC. Goddard DAAC, 1999.

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Book chapters on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Barnes, William L., and Vincent V. Salomonson. "Design and Projected Performance of MODIS — A Moderate-Resolution Imaging Spectroradiometer for the Earth Observing System (EOS)." In Applications of Photonic Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9247-8_34.

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Salomonson, Vincent, Michael J. Abrams, Anne Kahle, William Barnes, Xiaoxiong Xiong, and Yasushi Yamaguchi. "Evolution of NASA’s Earth Observing System and Development of the Moderate-Resolution Imaging Spectroradiometer and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Instruments." In Land Remote Sensing and Global Environmental Change. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6749-7_1.

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Rushingabigwi, Gerard, Celestin Twizere, Philibert Nsengiyumva, Jean De Dieu Ntawangaheza, and Liguo Sun. "An Analysis of Remote Sensing Data to Evaluate the Problem of Atmospheric Aerosol Pollution in Africa." In Environmental Management [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99377.

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The particulate matter (PM) directly endangers the human health. Remotely sensed tiny atmospheric particles, aerosols, are presented in this research as atmospheric air pollutants. Globally overviewed for the first instances, and then a focus put on Africa and Asia, the selected aerosols are fine particulates (PM2.5), black carbon (BC), and Sulfate (SO4). According to the existing literature, the motivation to research on air pollutants came from the fact that the polluted air globally kills many people, by attacking cardiovascular system. The online accessible remote sensing’s data has been mostly collected from the second version of modern era retrospective analysis for research and applications (MERRA-2), a model selected for its update as well as the fact that its data are directly assimilated from the most renown remote sensors: Moderate resolution Imaging Spectroradiometer (MODIS) and the advanced very high-resolution radiometer (AVHRR). MERRA-2 also compiles data from different aerosol robotic networks (AERONETs). With a vast region of interest, and considering the big temporal resolution, reduced spatio-temporal resolutions facilitated the focused research. Goddard interactive online visualization and analysis infrastructure (GIOVANNI) bridged our research objectives with the data; Geographical Information Systems (Arc GIS) is a main software tool. Map-based as well as time series results for PM2.5 and other atmospheric air pollutants are presented; health dangers associated with the dust from erstwhile research highlighted. Finding that the annually-averaged mass concentration of the dust’s PM2.5 is significantly greater than the mean recommended concentration, 25 μg/m3, in all the seasons of the center of the research region of interest (Africa), this research recommends further research on dust aerosols mitigation strategies, during the seasons of heaviest air pollutants in particular.
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Dutta, Dibyendu, Akanksha Balha, Prabir Kumar Das, Pragyan Jain, Libeesh Lukose, and Wasim Akram. "Assessment of Ecological Disturbance Caused by Flood and Fire in Assam Forests, India, Using MODIS Time Series Data of 2001-2011." In Remote Sensing [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94282.

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The forest area of Assam State is known for its rich biodiversity. In the present study, the disturbance regime within the Assam forest area caused by periodic flood and forest fire, was assessed using the Moderate Resolution Imaging Spectroradiometer (MODIS) time-series (2001–2011) data. The MODIS Global Disturbance Index (MGDI) images were generated using MODIS derived Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) images. The temporal intensity of flood and forest fire in sixteen representative forests was analyzed to develop the MGDI based thresholds for detecting the disturbed area. The threshold for the non-instantaneous disturbance, i.e. flood, was found to be 107% whereas it was 111% for instantaneous disturbance, i.e. forest fire. The thresholds were applied on the MGDI images to delineate disturbed caused by flood and fire, separately for each year. The time-series disturbance areas were integrated over the years (2001–2011) to generate the classified disturbance prone maps.
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Alarcon, Vladimir J., Joseph D. Nigro, William H. McAnally, Charles G. O’Hara, Edwin T. Engman, and David Toll. "Assessment of NASA’s Physiographic and Meteorological Datasets as Input to HSPF and SWAT Hydrological Models." In Geographic Information Analysis for Sustainable Development and Economic Planning. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1924-1.ch001.

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This chapter documents the use of simulated Moderate Resolution Imaging Spectroradiometer land use/land cover (MODIS 12 Q1), NASA-LIS generated precipitation and evapo-transpiration (ET), and Shuttle Radar Topography Mission (SRTM) datasets (in conjunction with standard land use, topographical and meteorological datasets) as input to hydrological models routinely used by the watershed hydrology modeling community. The study is focused in coastal watersheds in the Mississippi Gulf Coast, although one of the test cases focuses in an inland watershed located in northeastern Mississippi, USA. The decision support tools (DSTs) into which the NASA datasets were assimilated were the Soil Water &amp; Assessment Tool (SWAT) and the Hydrological Simulation Program Fortran (HSPF). These DSTs are endorsed by several US government agencies (EPA, FEMA, USGS) for water resources management strategies. These models use physiographic and meteorological data extensively. Precipitation gages and USGS gage stations in the region were used to calibrate several HSPF and SWAT model applications. Land use and topographical datasets were swapped to assess model output sensitivities. NASA-LIS meteorological data were introduced in the calibrated model applications for simulation of watershed hydrology for a time period in which no weather data were available (1997-2006). The performance of the NASA datasets in the context of hydrological modeling was assessed through comparison of measured and model-simulated hydrographs. Overall, NASA datasets were as useful as standard land use, topographical, and meteorological datasets. Moreover, NASA datasets were used for performing analyses that the standard datasets could not made possible, e.g., introduction of land use dynamics into hydrological simulations.
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Conference papers on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Pagano, Thomas S., and Rodney M. Durham. "Moderate Resolution Imaging Spectroradiometer (MODIS)." In Optical Engineering and Photonics in Aerospace Sensing, edited by William L. Barnes. SPIE, 1993. http://dx.doi.org/10.1117/12.152835.

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SALOMONSON, VINCENT. "The Moderate Resolution Imaging Spectrometer (MODIS)." In 28th Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-166.

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Weber, Richard, and Leslie L. Thompson. "MODIS-N: moderate resolution imaging spectrometer-nadir." In Orlando '90, 16-20 April, edited by James A. Smith. SPIE, 1990. http://dx.doi.org/10.1117/12.21401.

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Pagano, Thomas S. "Moderate resolution imaging spectroradiometer (MODIS) engineering model development." In Satellite Remote Sensing, edited by William L. Barnes and Brian J. Horais. SPIE, 1995. http://dx.doi.org/10.1117/12.198959.

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Salomonson, V. V., W. L. Barnes, H. E. Montgomery, and H. Ostrow. "Moderate Resolution Imaging Spectrometer-Nadir (MODIS-N): Progress 1988." In 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, edited by Philip N. Slater. SPIE, 1988. http://dx.doi.org/10.1117/12.945665.

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Pagano, Thomas S., Mary Ballard, Allen L. De Forrest, Russell M. Hudyma, Richard L. Julian, and Arnold L. Tessmer. "Development of the Moderate-Resolution Imaging Spectroradiometer (MODIS) protoflight model." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by William L. Barnes. SPIE, 1996. http://dx.doi.org/10.1117/12.258100.

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BARNES, W. "Scientific requirements for a Moderate-Resolution Imaging Spectrometer (MODIS) for EOS." In Earth Observing Systems Conference. American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-2085.

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Pagano, Thomas S., James B. Young, and Neil J. Therrien. "Performance characterization of the moderate resolution imaging spectroradiometer (MODIS) engineering model." In Satellite Remote Sensing II, edited by Hiroyuki Fujisada and Martin N. Sweeting. SPIE, 1995. http://dx.doi.org/10.1117/12.228557.

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Rojas, Francisco, Robert A. Schowengerdt, and Stuart F. Biggar. "Modulation transfer analysis for the moderate resolution imaging spectroradiometer (MODIS-AM)." In International Symposium on Optical Science and Technology, edited by William L. Barnes. SPIE, 2002. http://dx.doi.org/10.1117/12.453457.

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Bandeira, Nuno, Fred Gallagher, Clay Stanford, and Joe Auchter. "Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard data processing and control system." In Optical Engineering and Photonics in Aerospace Sensing, edited by William L. Barnes. SPIE, 1993. http://dx.doi.org/10.1117/12.152854.

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Reports on the topic "Moderate Resolution Imaging Radiometer (MODIS)"

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Sinclair, Samantha, and Sandra LeGrand. Reproducibility assessment and uncertainty quantification in subjective dust source mapping. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41523.

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Accurate dust-source characterizations are critical for effectively modeling dust storms. A previous study developed an approach to manually map dust plume-head point sources in a geographic information system (GIS) framework using Moderate Resolution Imaging Spectroradiometer (MODIS) imagery processed through dust-enhancement algorithms. With this technique, the location of a dust source is digitized and recorded if an analyst observes an unobscured plume head in the imagery. Because airborne dust must be sufficiently elevated for overland dust-enhancement algorithms to work, this technique m
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Sinclair, Samantha, and Sandra LeGrand. Reproducibility assessment and uncertainty quantification in subjective dust source mapping. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41542.

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Accurate dust-source characterizations are critical for effectively modeling dust storms. A previous study developed an approach to manually map dust plume-head point sources in a geographic information system (GIS) framework using Moderate Resolution Imaging Spectroradiometer (MODIS) imagery processed through dust-enhancement algorithms. With this technique, the location of a dust source is digitized and recorded if an analyst observes an unobscured plume head in the imagery. Because airborne dust must be sufficiently elevated for overland dust-enhancement algorithms to work, this technique m
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