Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.691562
