4.7 Article

The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo

期刊

REMOTE SENSING OF ENVIRONMENT
卷 184, 期 -, 页码 139-152

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2016.06.018

关键词

Snow water equivalent; Snow albedo; Water resources; Scanning lidar; Imaging spectrometer

资金

  1. NASA
  2. California Department of Water Resources
  3. JPL investments
  4. Colorado Water Conservation Board
  5. City of San Francisco Public Utilities Commission
  6. Turlock Irrigation District
  7. Modesto Irrigation District
  8. USDA Agricultural Research Service
  9. Directorate For Geosciences
  10. Division Of Earth Sciences [1331872] Funding Source: National Science Foundation

向作者/读者索取更多资源

Snow cover and its melt dominate regional climate and water resources in many of the world's mountainous regions. Snowmelt timing and magnitude in mountains are controlled predominantly by absorption of solar radiation and the distribution of snow water equivalent (SWE), and yet both of these are very poorly known even in the best-instrumented mountain regions of the globe. Here we describe and present results from the Airborne Snow Observatory (ASO), a coupled imaging spectrometer and scanning lidar, combined with distributed snow modeling, developed for the measurement of snow spectral albedo/broadband albedo and snow depth/SWE. Snow density is simulated over the domain to convert snow depth to SWE. The result presented in this paper is the first operational application of remotely sensed snow albedo and depth/SWE to quantify the volume of water stored in the seasonal snow cover. The weekly values of SWE volume provided by the ASO program represent a critical increase in the information available to hydrologic scientists and resource managers in mountain regions. (C) 2016 Elsevier Inc. All rights reserved.

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