Validation of MODIS snow mapping algorithm using AVIRIS image and near-infrared color photo data

Jiancheng Shi; Zhen Li

doi:10.1117/12.317806

17 August 1998 Validation of MODIS snow mapping algorithm using AVIRIS image and near-infrared color photo data

Jiancheng Shi, Zhen Li

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317806
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Jiancheng Shi and Zhen Li "Validation of MODIS snow mapping algorithm using AVIRIS image and near-infrared color photo data", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317806

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