GSTDTAP  > 资源环境科学
DOI10.1029/2019WR025449
Identification of Snow Using Fully Polarimetric SAR Data Based On Entropy and Anisotropy
Varade, Divyesh1; Singh, Gulab2; Dikshit, Onkar1; Manickam, Surendar3
2020-02-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2020
卷号56期号:2
文章类型Article
语种英语
国家India; USA
英文摘要

Recently, with the extensive availability of fully polarimetric synthetic aperture radar (SAR) data, methods that are simple and efficient, and involve lesser computation and data processing, are needed to be explored for snow cover mapping. This paper analyzes different polarimetric parameters such as entropy, anisotropy, and the mean scattering angle for the identification of snow cover area. We present a novel index for mapping snow cover based on the assessment of entropy (H) and anisotropy (A) using fully polarimetric SAR data and refer to it as the radar snow fraction (RSF). The RSF is proposed as an extension of the H(1-A) metric by applying a sigmoidal function to this metric. The experiments to evaluate the applicability of the proposed RSF are carried out using fully polarimetric SAR data of L-band ALOS-2/PALSAR-2 and C-band RADARSAT-2 data sets corresponding to different geographical locations in the Indian Himalayas. The developed snow cover maps from the proposed method were validated with respect to reference snow cover maps derived by thresholding the Normalized Differenced Snow Index developed from multispectral data (e.g., Landsat-8 imagery). These maps were also statistically compared with those obtained from the conventional radar snow index, which is based on the polarization fraction. We determined a mean overall accuracy of 0.8 between the developed snow cover maps and the reference maps for the different data sets used for experiments. The results showed that, in general, the RSF outperformed the other polarimetric parameters for snow cover detection.


Plain Language Summary Fully polarimetric SAR (PolSAR) data are widely used for the studies of snow geophysical parameters requiring good quality snow cover area (SCA) maps. There are limited methods in the literature for SCA mapping using fully PolSAR data. Some of these methods are based on multitemporal backscatter response, which requires more data sets that are commercial and expensive; efforts toward the development of methods, which can discriminate snow using a single data sets, are desirable. This study examines the potential of the proposed radar snow fraction (RSF) index, which is based on fully polarimetric SAR data utilizing the response of entropy (H) and anisotropy (A) for snow cover mapping. The parameter RSF is an extension of the H(1-A) metric, which utilizes a sigmoidal filter function to this metric. The proposed method, the conventional radar snow index (RSI), and the other polarimetric parameters are evaluated for SCA mapping for different L-band and C-band ALOS-2/PALSAR-2 and RADARSAT-2 data sets for rugged terrains in various locations in the Indian Himalayas. This study also compared the RSF with RSI for SCA mapping and delineated better results for the RSF.


英文关键词snow SAR polarimetry entropy anisotropy Himalayas RADARSAT-2
领域资源环境
收录类别SCI-E
WOS记录号WOS:000535672800044
WOS关键词COVERED AREA ; WET SNOW ; ALGORITHM ; IMAGERY
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/280486
专题资源环境科学
作者单位1.Indian Inst Technol Kanpur, Dept Civil Engn, Kanpur, Uttar Pradesh, India;
2.Indian Inst Technol, Ctr Studies Resource Engn, Mumbai, Maharashtra, India;
3.Duke Univ, Dept Civil & Environm Engn, Durham, NC 27706 USA
推荐引用方式
GB/T 7714
Varade, Divyesh,Singh, Gulab,Dikshit, Onkar,et al. Identification of Snow Using Fully Polarimetric SAR Data Based On Entropy and Anisotropy[J]. WATER RESOURCES RESEARCH,2020,56(2).
APA Varade, Divyesh,Singh, Gulab,Dikshit, Onkar,&Manickam, Surendar.(2020).Identification of Snow Using Fully Polarimetric SAR Data Based On Entropy and Anisotropy.WATER RESOURCES RESEARCH,56(2).
MLA Varade, Divyesh,et al."Identification of Snow Using Fully Polarimetric SAR Data Based On Entropy and Anisotropy".WATER RESOURCES RESEARCH 56.2(2020).
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