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Proceedings Paper

Validation of MODIS snow mapping algorithm using AVIRIS image and near-infrared color photo data
Author(s): Jiancheng Shi; Zhen Li
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Paper Abstract

For climatic, hydrological, and snow hazard investigations, the snow covered area is one of important parameters. Moderate Resolution Image Spectrometer (MODIS) is an EOS-A facility instrument to be launched in this year. With much richer spectral and more frequent temporal measurements by MODIS, we expect that daily or weekly global snow cover information can be obtained. The objective of this study is to validate the accuracy of the MODIS snow mapping algorithm under a variety of viewing and illuminations, land cover, atmospheric and terrain conditions. We have collected a huge amount of AVIRIS image data, from which we can simulate the MODIS spectra measurements. The high resolution color infrared photo taken simultaneous as AVIRIS image data can be used to access the snow covered area as the ground truth. Through examples, we demonstrate the techniques used to access the ground truth and validation of MODIS snow mapping algorithm.

Paper Details

Date Published: 17 August 1998
PDF: 8 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317806
Show Author Affiliations
Jiancheng Shi, Univ. of California/Santa Barbara (United States)
Zhen Li, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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