Error analysis for global snow-cover mapping in the Earth Observation System (EOS) era

Author

Hall, D.K. ; Foster, J.L. ; Salomonson, V.V. ; Klein, A.G. ; Chien, J.Y.L.

Author_Institution

NASA Goddard Space Flight Center, Greenbelt, MD, USA

Volume

3

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1524

Abstract

Following the launch of the Earth Observing System (EOS) satellite platform, daily, global snow-cover mapping will be performed automatically at a spatial resolution of 500 m using Moderate Resolution Imaging Spectroradiometer (MODIS) data. In order to estimate the accuracy of the MODIS snow maps, the Northern Hemisphere was divided into 7 land-cover classes and water, and expected errors in mapping snow were calculated for each of the 7 classes using the average monthly snowline position. The errors are found primarily in land covers composed of forests. Maximum monthly snow-mapping errors are expected to range from 5-9% for North America, and from 5-10% for Eurasia. The largest errors are expected when snow coverage in the boreal forest is greatest. The maximum aggregated snow-mapping error for the Northern Hemisphere is expected to be about 7.5%. Error estimates will be refined after the first full year that MODIS data are available

Keywords

error analysis; hydrological techniques; remote sensing; snow; Earth Observation System; Eurasia; MODIS data; Moderate Resolution Imaging Spectroradiometer data; North America; Northern Hemisphere; average monthly snowline position; error analysis; global snow-cover mapping; land-cover classes; Aircraft; Earth Observing System; Error analysis; MODIS; North America; Predictive models; Prototypes; Satellites; Snow; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.691562

Filename

691562