Automated mapping of Earth's annual minimum exposed snow and ice with MODIS

23Citations
Citations of this article
46Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Global snow and ice have been diminishing during the Anthropocene but we still lack a complete mapping of annual minimum exposed snow and ice with a consistent, repeatable algorithm. The Global Land Ice Measurements from Space (GLIMS) project has compiled digital glacier outlines and related metadata for the majority of the world's glaciers but inconsistency among product algorithms and time periods represented precludes the production of a consistently derived global data set. Here we present the MODIS Persistent Ice (MODICE) algorithm that leverages the time series of fractional snow and ice cover from the MODIS Snow Covered Area and Grain size (MODSCAG) algorithm. The end product of MODICE is a consistently derived map of annual minimum exposed snow and ice. Comparisons of MODICE with GLIMS glacier outlines derived from SPOT, ASTER, and Landsat Thematic Mapper show strong agreement with the higher resolution outlines subject to uncertainties with spatial resolution, deep mountain shadows, and GLIMS interpretation errors. © 2012. American Geophysical Union. All Rights Reserved.

Cite

CITATION STYLE

APA

Painter, T. H., Brodzik, M. J., Racoviteanu, A., & Armstrong, R. (2012). Automated mapping of Earth’s annual minimum exposed snow and ice with MODIS. Geophysical Research Letters, 39(20). https://doi.org/10.1029/2012GL053340

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free