干旱区生态环境知识资源中心(Arid): Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data

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DOI	10.1016/j.rse.2019.111561
	Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data
	Mandal, Dipankar 1; Kumar, Vineet 1; Ratha, Debanshu 1; Lopez-Sanchez, Juan M.2; Bhattacharya, Avik 1; McNairn, Heather 3; Rao, Y. S.1; Ramana, K. V.4
通讯作者	Mandal, Dipankar
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2020
卷号	237
英文摘要	Rice growth monitoring using Synthetic Aperture Radar (SAR) is recognized as a promising approach for tracking the development of this important crop. Accurate spatio-temporal information of rice inventories is required for water resource management, production risk occurrence, and yield forecasting. This research investigates the potential of the proposed Generalized volume scattering model based Radar Vegetation Index (GRVI) for monitoring rice growth at different phenological stages. The GRVI is derived using the concept of a geodesic distance (GD) between Kennaugh matrices projected on a unit sphere. We utilized this concept of GD to quantify a similarity measure between the observed Kennaugh matrix (representation of observed Polarimetric SAR information) and the Kennaugh matrix of a generalized volume scattering model (a realization of scattering media). The similarity measure is then modulated with a factor estimated from the ratio of the minimum to the maximum GD between the observed Kennaugh matrix and the set of elementary targets: trihedral, cylinder, dihedral, and narrow dihedral. In this work, we utilize a time series of C-band quad-pol RADARSAT-2 observations over a semi-arid region in Vijayawada, India. Among the several rice cultivation practices adopted in this region, we analyze the growth stages of direct seeded rice (DSR) and conventional tansplanted rice (TR) with the GRVI and crop biophysical parameters viz., Plant Area Index - PAI. The GRVI is compared for both rice types against the Radar Vegetation Index (RVI) proposed by Kim and van Zyl. A temporal analysis of the GRVI with crop biophysical parameters at different phenological stages confirms its trend with the plant growth stages. Also, the linear regression analysis confirms that the GRVI outperforms RVI with significant correlations with PAI (r >= 0.83 for both DSR and TR). In addition, PAI estimations from GRVI show promising retrieval accuracy with Root Mean Square Error (RMSE) < 1.05m(2) m(-2) and Mean Absolute Error (MAE) <0.85m(2) m(-2).
英文关键词	Rice GRVI SAR polarimetry Direct seeded rice RVI
类型	Article
语种	英语
国家	India ; Spain ; Canada
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000509819300031
WOS关键词	PADDY-RICE ; WATER PRODUCTIVITY ; TIME-SERIES ; WHEAT ; MODEL ; SENSITIVITY ; SCATTERING ; RETRIEVAL ; SENSORS ; HEIGHT
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315439
作者单位	1.Indian Inst Technol, Microwave Remote Sensing Lab, Ctr Studies Resources Engn, Mumbai, Maharashtra, India; 2.Univ Alicante, Univ Inst Comp Res, Alicante, Spain; 3.Agr & Agri Food Canada, Ottawa Res & Dev Ctr, Ottawa, ON, Canada; 4.ISRO, Natl Remote Sensing Ctr, Agr Sci & Applicat Grp, Bangalore, Karnataka, India
推荐引用方式 GB/T 7714	Mandal, Dipankar,Kumar, Vineet,Ratha, Debanshu,et al. Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data[J],2020,237.
APA	Mandal, Dipankar.,Kumar, Vineet.,Ratha, Debanshu.,Lopez-Sanchez, Juan M..,Bhattacharya, Avik.,...&Ramana, K. V..(2020).Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data.REMOTE SENSING OF ENVIRONMENT,237.
MLA	Mandal, Dipankar,et al."Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data".REMOTE SENSING OF ENVIRONMENT 237(2020).