Global surface reflectance products from Landsat: Assessment using coincident MODIS observations

Global, long-term monitoring of changes in Earth's land surface requires quantitative comparisons of satellite images acquired under widely varying atmospheric conditions. Although physically based estimates of surface reflectance (SR) ultimately provide the most accurate representation of Eart...

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Veröffentlicht in:	Remote sensing of environment 2013-07, Vol.134, p.276-293
Hauptverfasser:	Feng, Min, Sexton, Joseph O., Huang, Chengquan, Masek, Jeffrey G., Vermote, Eric F., Gao, Feng, Narasimhan, Raghuram, Channan, Saurabh, Wolfe, Robert E., Townshend, John R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences data collection Earth atmosphere Earth sciences Earth, ocean, space ecosystems Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Global Internal geophysics land cover Landsat moderate resolution imaging spectroradiometer MODIS monitoring Quality assessment radiative transfer reflectance remote sensing solar radiation spatial data Surface reflectance surveys Teledetection and vegetation maps
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Beschreibung
Zusammenfassung:	Global, long-term monitoring of changes in Earth's land surface requires quantitative comparisons of satellite images acquired under widely varying atmospheric conditions. Although physically based estimates of surface reflectance (SR) ultimately provide the most accurate representation of Earth's surface properties, there has never been a globally consistent SR dataset at the spatial resolution (
ISSN:	0034-4257 1879-0704
DOI:	10.1016/j.rse.2013.02.031