NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

CAO Yun-gang; LIU Chuang

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NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

CAO Yun-gang, LIU Chuang

文章导航 > Chinese Geographical Science > 2006 > 16(2): 171-175

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. 中国地理科学, 2006, 16(2): 171-175.

引用本文:

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. 中国地理科学, 2006, 16(2): 171-175.

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. Chinese Geographical Science, 2006, 16(2): 171-175.

Citation:

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. Chinese Geographical Science, 2006, 16(2): 171-175.

NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

CAO Yun-gang^1,2,
LIU Chuang¹

1.
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;
2.
Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

详细信息

作者简介:
CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

中图分类号: TP753

NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

CAO Yun-gang^1,2,
LIU Chuang¹

1.
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;
2.
Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

摘要: The snow-cover mapping in forest area is always one of the difficult points for optical satellite remote sensing. To investigate reflectance variability and to improve the mapping of snow in forest area, GeoSail model was used to simulate the reflectance of a snow-covered forest. Using this model, the effects of varying canopy density, solar illumination and view geometry on the performance of the MODIS (Moderate-resolution Imaging Spectroradiometer) snow-cover mapping algorithm were investigated. The relationship between NDSI (Normalized Difference Snow Index), NDVI (Normalized Difference Vegetation Index) and snow fraction was discussed in detail. Results indicated that the weak performance would be achieved if fixed criteria were used for different regions especially in the complicated land cover components. Finally, some suggestions to MODIS SNOWMAP algorithm were put forward to improve snow mapping precision in forest area based on the simulation, for example, new criteria should be used in coniferous forest, that is, NDSI greater than 0.3 and NDVI greater than zero. Otherwise, a threshold on view zenith angle may be used in the criteria such as 45°.
- snow cover mapping /
- reflectance model /
- MODIS
Abstract: The snow-cover mapping in forest area is always one of the difficult points for optical satellite remote sensing. To investigate reflectance variability and to improve the mapping of snow in forest area, GeoSail model was used to simulate the reflectance of a snow-covered forest. Using this model, the effects of varying canopy density, solar illumination and view geometry on the performance of the MODIS (Moderate-resolution Imaging Spectroradiometer) snow-cover mapping algorithm were investigated. The relationship between NDSI (Normalized Difference Snow Index), NDVI (Normalized Difference Vegetation Index) and snow fraction was discussed in detail. Results indicated that the weak performance would be achieved if fixed criteria were used for different regions especially in the complicated land cover components. Finally, some suggestions to MODIS SNOWMAP algorithm were put forward to improve snow mapping precision in forest area based on the simulation, for example, new criteria should be used in coniferous forest, that is, NDSI greater than 0.3 and NDVI greater than zero. Otherwise, a threshold on view zenith angle may be used in the criteria such as 45°.
- snow cover mapping /
- reflectance model /
- MODIS

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NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

CAO Yun-gang^1,2,
LIU Chuang¹

1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;

2. Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

作者简介:
CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

收稿日期: 2005-12-08
刊出日期: 2006-06-20

中图分类号: TP753

关键词:

snow cover mapping /

reflectance model /

MODIS

摘要: The snow-cover mapping in forest area is always one of the difficult points for optical satellite remote sensing. To investigate reflectance variability and to improve the mapping of snow in forest area, GeoSail model was used to simulate the reflectance of a snow-covered forest. Using this model, the effects of varying canopy density, solar illumination and view geometry on the performance of the MODIS (Moderate-resolution Imaging Spectroradiometer) snow-cover mapping algorithm were investigated. The relationship between NDSI (Normalized Difference Snow Index), NDVI (Normalized Difference Vegetation Index) and snow fraction was discussed in detail. Results indicated that the weak performance would be achieved if fixed criteria were used for different regions especially in the complicated land cover components. Finally, some suggestions to MODIS SNOWMAP algorithm were put forward to improve snow mapping precision in forest area based on the simulation, for example, new criteria should be used in coniferous forest, that is, NDSI greater than 0.3 and NDVI greater than zero. Otherwise, a threshold on view zenith angle may be used in the criteria such as 45°.

English Abstract

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. 中国地理科学, 2006, 16(2): 171-175.

引用本文:

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. 中国地理科学, 2006, 16(2): 171-175.

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. Chinese Geographical Science, 2006, 16(2): 171-175.

Citation:

CAO Yun-gang, LIU Chuang. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J]. Chinese Geographical Science, 2006, 16(2): 171-175.

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NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

作者简介: CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

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出版历程

NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

作者简介: CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

English Abstract

NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

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目录

作者简介:
CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;

2. Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China

作者简介:
CAO Yun-gang(1978- ),male,a native of Chengdu of Sichuan Province,Ph.D.candidate,specialized in remote sensing modeling and application.E-mail:yungang78@163.com.

1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;

2. Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China