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| Bi-directional normalized difference vegetation index:concept and application | |
| 引用本文： | LI Xiaowen,GAO Feng,WANGJindi,YANGHu,A. STRAHLER,C. SCHAAF. Bi-directional normalized difference vegetation index:concept and application[J]. 自然科学进展(英文版), 2002, 12(2): 115-119 |
| 作者姓名： | LI Xiaowen GAO Feng WANGJindi YANGHu A. STRAHLER C. SCHAAF |
| 作者单位： | 1.Research Center for Remote Sensing and Department of Geography- Beijing Normal University- Beijing 100875- China;2.Department of Geography and Center for Remote Sensing- Boston University- Boston MA02215- USA,Department of Geography and Center for Remote Sensing- Boston University- Boston MA02215- USA,Research Center for Remote Sensing and Department of Geography- Beijing Normal University- Beijing 100875- China,Research Center for Remote Sensing and Department of Geography- Beijing Normal University- Beijing 100875- China,Department of Geography and Center for Remote Sensing- Boston University- Boston MA02215- USA,Department of Geography and Center for Remote Sensing- Boston University- Boston MA02215- USA |
| 基金项目： | 国家自然科学基金，国家重点基础研究发展计划(973计划)，国家重点基础研究发展计划(973计划)，NASA project |
| 摘 要： | The data products of land surface bi-directional reflectance distribution function (BRDF) from the space-borne Polarization and Directionality of the Earth Reflectance (POLDER) of France and the Moderate Resolution Imaging Spectroradiometer (MODIS) of USA are available recently- but the atmospheric correction for meeting the requirement of quantitative remote sensing is still a very difficult problem. This paper presents a concept: bi-directional normalized difference vegetation index (Bi-NDVI)- in order to consider simultaneously the effects of both land surface BRDF and atmospheric path scattering. An atmospheric quality index is thus defined for satellite multi-angular observations. The quality of MODIS/BRDF data products can be improved notably through iterative inversion weighed by this index. |
| 关 键 词： | bi-directional reflectance normalized difference vegetation index atmospheric correction. |
Bi-directional normalized difference vegetation index:concept and application |
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| LI Xiaowen,GAO Feng,Wang Jindi,YANG Hua,A.Strahler,C.SCHAAF. Bi-directional normalized difference vegetation index:concept and application[J]. Progress in Natural Science, 2002, 12(2): 115-119 | |
| Authors: | LI Xiaowen GAO Feng Wang Jindi YANG Hua A.Strahler C.SCHAAF |
| Affiliation: | 1. Research Center for Remote Sensing and Department of Geography, Beijing Normal University, Beijing 100875, China;Department of Geography and Center for Remote Sensing, Boston University, Boston MA02215, USA 2. Department of Geography and Center for Remote Sensing, Boston University, Boston MA02215, USA 3. Research Center for Remote Sensing and Department of Geography, Beijing Normal University, Beijing 100875, China |
| Abstract: | The data products of land surface bi-directional reflectance distribution function (BRDF) from the space-borne Polarization and Directionality of the Earth Reflectance (POLDER) of France and the Moderate Resolution Imaging Spectroradiometer (MODIS) of USA are available recently- but the atmospheric correction for meeting the requirement of quantitative remote sensing is still a very difficult problem. This paper presents a concept: bi-directional normalized difference vegetation index (Bi-NDVI)- in order to consider simultaneously the effects of both land surface BRDF and atmospheric path scattering. An atmospheric quality index is thus defined for satellite multi-angular observations. The quality of MODIS/BRDF data products can be improved notably through iterative inversion weighed by this index. |
| Keywords: | bi-directional reflectance normalized difference vegetation index atmospheric correction. |
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