Title :
A snow index for the Landsat Thematic Mapper and Moderate Resolution Imaging Spectroradiometer
Author :
Riggs, George A. ; Hall, Dorothy K. ; Salomonson, Vincent V.
Author_Institution :
Res. & Data Syst. Corp., Greenbelt, MD, USA
Abstract :
Describes the snow mapping algorithm being developed for use with the Earth Observing System (EOS) MODerate resolution Imaging Spectroradiometer (MODIS). A key component of this snow mapping algorithm is the normalized difference snow index (NDSI). The NDSI employs Landsat Thematic Mapper (TM) visible (0.56 μm) and near-infrared (1.65 μm) data. The snow algorithm uses the NDSI in combination with near-infrared reflectance to identify snow cover and discriminate snow from clouds. The NDSI-based snow algorithm functions with a simple set of decision rules for snow, and can be run in an automated fashion on any TM scene without a priori knowledge of surface characteristics. Consistent identification of snow cover in a variety of TM scenes has been attained with the algorithm. Snow mapping results from TM imagery of the Glacier National Park, Montana region are presented. This algorithm is expected to generate global snow cover data products in the EOS era beginning in 1998
Keywords :
geophysical signal processing; hydrological techniques; image classification; infrared imaging; optical information processing; remote sensing; snow; 560 to 1650 nm; EOS; Glacier National Park; IR infrared; Landsat Thematic Mapper; MODIS; Moderate Resolution Imaging Spectroradiometer; Montana USA; NDSI; SNOMAP TM; decision rule; hydrology; identification; image classification; measurement technique; normalized difference snow index; optical imaging visible; remote sensing; snow cover; snow index; snow mapping algorithm; snowcover; terrain mapping; Calibration; Earth Observing System; Layout; MODIS; Microwave radiometry; Optical filters; Remote sensing; Satellite broadcasting; Snow; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399618