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

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.

name of conference

  • IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174)

published proceedings

  • IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174)

author list (cited authors)

  • Hall, D. K., Foster, J. L., Salomonson, V. V., Klein, A. G., & Chien, J

citation count

  • 3

complete list of authors

  • Hall, DK||Foster, JL||Salomonson, VV||Klein, AG||Chien, JYL

publication date

  • January 1998

publisher