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

Global surface reflectance products from Landsat: Assessment using coincident MODIS observations 1 Introduction</h5> Global, long-term monitoring of land-cover change is a central and long-standing goal of the Earth sciences ( Goward & Williams, 1997; Huang et al., 2009; Townshend et al., 1991 ). Consistency and repeatability in this arena require that the basic image-to-image comparisons be based on data represented on the same thematic scale of measurement ( Sexton et al., 2013; Song et al., 2001; Stevens, 1946 ). Although radiance – the rate of energy leaving a surface – is a more basic scale for representing remotely sensed measurements, radiance varies with illumination and viewing geometry, incoming radiation, and atmospheric conditions ( Chander et al., 2009 ). Alternatively, reflectance – the ratio of outgoing to incoming radiance – provides a more robust representation of Earth's surface over varying external conditions ( Kaufman & Tanré, 1996; Vermote et al., 1997a ).</P>Surface reflectance (SR) datasets have been produced from data collected by space-borne sensors operating at various spatial and temporal scales, including the Moderate Resolution Imaging Spectroradiometer (MODIS) ( Vermote et al., 2002 ), Advanced Very High Resolution Radiometer (AVHRR) ( Kangas et al., 2001 ), and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) ( Yamaguchi et al., 1998 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Remote Sensing of Environment Elsevier
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