Remote sensing in hydrology |
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Authors: | Thomas J Schmugge William P Kustas Jerry C Ritchie Thomas J Jackson Al Rango |
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Institution: | 1. Institute of Remote Sensing and Geographic Information System, Peking University, 100871 Beijing, China;2. Photogrammetry and Geomatics Group, ICube Laboratory UMR 7357, INSA Strasbourg, France;1. School of Surveying and Built Environment, University of Southern Queensland, Toowoomba, Queensland 4350, Australia;2. Future Regions Research Centre, Federation University Australia, Churchill, Victoria 3842, Australia |
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Abstract: | Remote sensing provides a means of observing hydrological state variables over large areas. The ones which we will consider in this paper are land surface temperature from thermal infrared data, surface soil moisture from passive microwave data, snow cover using both visible and microwave data, water quality using visible and near-infrared data and estimating landscape surface roughness using lidar. Methods for estimating the hydrometeorlogical fluxes, evapotranspiration and snowmelt runoff, using these state variables are also described. |
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