气候变化领域集成服务门户(CCPortal): Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique

CCPortal

DOI	10.1109/JSTARS.2018.2810094
	Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique
	Wang, Xiaoyan; Wang, Jian; Che, Tao; Huang, Xiaodong; Hao, Xiaohua; Li, Hongyi
发表日期	2018
ISSN	1939-1404
EISSN	2151-1535
起始页码	1433
结束页码	1441
卷号	11 期号:5
英文摘要	Seasonal snow cover is a critical component of the energy and water budgets of mountainous watersheds. Capturing the snow cover in complex environments is crucial for monitoring and understanding the temporal and spatial effects of climate change on alpine snow cover. The normalized difference snow index (NDSI) can be used to effectively and accurately estimate snow cover information from satellite images. However, the NDSI has limited utility for estimating the snow cover in heavily forested areas and relating this information to snowmelt-based runoff. In this study, a new algorithm based on a multi-index technique is proposed. The technique combines the NDSI, the normalized difference forest snow index, and the normalized difference vegetation index, and decision rules are established to increase the accuracy of snow mapping in forested areas. The new algorithm based on a multi-index technique is tested in the mountainous forested areas of North Xinjiang, China. In a winter image with full snow and a spring image with patchy snow, most of the forest snow, which is underestimated by the NDSI, is recognized by the multi-index technique. The accuracy of snow detection in forested areas is more than 90%. Additionally, in an experiment using a summer image without snow in forested areas no commission errors were detected. The snow detection algorithm based on a multi-index technique uses a simple set of decision rules for snow and can be run automatically without a priori knowledge of the surface characteristics.
英文关键词	Algorithms; forestry; image classification; remote sensing; snow
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	HEIHE RIVER-BASIN ; GRAIN-SIZE ; REFLECTANCE MODEL ; NORTH-AMERICA ; MODIS ; AREA ; RETRIEVAL ; ALBEDO ; SPACE ; MASS
WOS记录号	WOS:000431427400007
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/241002
作者单位	[Wang, Xiaoyan] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China; [Wang, Jian; Che, Tao; Hao, Xiaohua; Li, Hongyi] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China; [Wang, Jian] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China; [Huang, Xiaodong] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou 730020, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiaoyan,Wang, Jian,Che, Tao,et al. Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique[J]. 中国科学院西北生态环境资源研究院,2018,11(5).
APA	Wang, Xiaoyan,Wang, Jian,Che, Tao,Huang, Xiaodong,Hao, Xiaohua,&Li, Hongyi.(2018).Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(5).
MLA	Wang, Xiaoyan,et al."Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.5(2018).