Abstract:
Predictions of climate change typically use a GCM linked to a land surface model. Land surface models, e.g. Biosphere-Atmosphere Transfer Scheme (BATS), estimate the albe...Show MoreMetadata
Abstract:
Predictions of climate change typically use a GCM linked to a land surface model. Land surface models, e.g. Biosphere-Atmosphere Transfer Scheme (BATS), estimate the albedo of trees over snow roughly with the parameters of roughness length, z/sub 0/, and snow depth, d. Based on their work, we further consider the difference in directional-to-hemisphere albedo for different solar zenith angle (SZA), and leaf area index (LAI) dependence. In order to keep the basic feature of the BATS model and to add these two new features, we simplified the geometric optical and radiative transfer (GORT) hybrid model of Li, et al. [1995] to reach this purpose. This model can be rather simple to retrieve the albedo of remote sensing pixel. It can be a strong tool to understand the climate system.
Date of Conference: 24-28 June 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7536-X
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Contents Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA
Research Center for Remote Sensing, Department Geography, and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China
