Dry/wet snow mapping based on the synergistic use of dual polarimetric SAR and multispectral data

doi:10.1007/s11629-019-5373-3

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2019 > Vol16 No.6

	Dry/wet snow mapping based on the synergistic use of dual polarimetric SAR and multispectral data
	Varade, Divyesh; Dikshit, Onkar; Manickam, Surendar
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2019
卷号	16 期号:6 页码:1435-1451
关键词	Snow mapping Ratio method Normalized Differenced Snow Index Classification Polarimetric synthetic-aperture radar
ISSN号	1672-6316
DOI	10.1007/s11629-019-5373-3
文献子类	Article
英文摘要	We propose a multi-sensor multi-spectral and bi-temporal dual-polarimetric Synthetic Aperture Radar (SAR) data integration scheme for dry/wet snow mapping using Sentinel-2 and Sentinel-1 data which are freely available to the research community. The integration is carried out by incorporating the information retrieved from ratio images of the conventional method for wet snow mapping and the multispectral data in two different frameworks. Firstly, a simple differencing scheme is employed for dry/wet snow mapping, where the snow cover area is derived using the Normalized Differenced Snow Index (NDSI). In the second framework, the ratio images are stacked with the multispectral bands and this stack is used for supervised and unsupervised classification using support vector machines for dry/wet snow mapping. We also investigate the potential of a state of the art backscatter model for the identification of dry/wet snow using Sentinel-1 data. The results are validated using a reference map derived from RADARSAT-2 full polarimetric SAR data. A good agreement was observed between the results and the reference data with an overall accuracy greater than 0.78 for the different blending techniques examined. For all the proposed frameworks, the wet snow was better identified. The coefficient of determination between the snow wetness derived from the backscatter model and the reference based on RADARSAT-2 data was observed to be 0.58 with a significantly higher root mean square error of 1.03% by volume.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000471607300016
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46520]
专题	Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.6
推荐引用方式 GB/T 7714	Varade, Divyesh,Dikshit, Onkar,Manickam, Surendar. Dry/wet snow mapping based on the synergistic use of dual polarimetric SAR and multispectral data[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(6):1435-1451.
APA	Varade, Divyesh,Dikshit, Onkar,&Manickam, Surendar.(2019).Dry/wet snow mapping based on the synergistic use of dual polarimetric SAR and multispectral data.JOURNAL OF MOUNTAIN SCIENCE,16(6),1435-1451.
MLA	Varade, Divyesh,et al."Dry/wet snow mapping based on the synergistic use of dual polarimetric SAR and multispectral data".JOURNAL OF MOUNTAIN SCIENCE 16.6(2019):1435-1451.