Improving the MODIS global snow-mapping algorithm

Author

Klein, Andrew G. ; Hall, Dorothy K. ; Riggs, George A.

Author_Institution

USRA, USA

Volume

2

fYear

1997

fDate

3-8 Aug 1997

Firstpage

619

Abstract

An algorithm (Snowmap) is under development to produce global snow maps at 500 meter resolution on a daily basis using data from the NASA MODIS instrument. MODIS, the Moderate Resolution Imaging Spectroradiometer, will be launched as part of the first Earth Observing System (EOS) platform in 1998. Snowmap is a fully automated, computationally frugal algorithm that will be ready to implement at launch. Forests represent a major limitation to the global mapping of snow cover as a forest canopy both obscures and shadows the snow underneath. Landsat Thematic Mapper (TM) and MODIS Airborne Simulator (MAS) date are used to investigate the changes in reflectance that occur as a forest stand becomes snow covered and to propose changes to the Snowmap algorithm that will improve snow classification accuracy forested areas

Keywords

geophysical signal processing; hydrological techniques; image classification; remote sensing; snow; EOS; Earth Observing System; IR imaging; MODIS; Moderate Resolution Imaging Spectroradiometer; Snowmap; forest; global snow map; global snow-mapping algorithm; hydrology; image classification; measurement technique; optical imaging; reflectance; satellite remote sensing; snow cover; snowcover; terrain effect; terrain mapping; vegetation effect; visible imaging; Clouds; Earth Observing System; Image resolution; MODIS; Monitoring; NASA; Remote sensing; Satellites; Snow; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615202

Filename

615202