干旱区生态环境知识资源中心(Arid): Aboveground biomass estimation of an agro-pastoral ecology in semi-arid Bundelkhand region of India from Landsat data: a comparison of support vector machine and traditional regression models

Arid

DOI	10.1080/10106049.2020.1756461
	Aboveground biomass estimation of an agro-pastoral ecology in semi-arid Bundelkhand region of India from Landsat data: a comparison of support vector machine and traditional regression models
	Deb, Dibyendu; Deb, Shovik; Chakraborty, Debashis; Singh, J. P.; Singh, Amit Kumar; Dutta, Puspendu; Choudhury, Ashok
通讯作者	Deb, S
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2020-04
英文摘要	This study compared the traditional regression models and support vector machine (SVM) for estimation of aboveground biomass (ABG) of an agro-pastoral ecology using vegetation indices derived from Landsat 8 satellite data as explanatory variables . The area falls in the Shivpuri Tehsil of Madhya Pradesh, India, which is predominantly a semi-arid tract of the Bundelkhand region. The Enhanced Vegetation Index-1 (EVI-1) was identified as the most suitable input variable for the regression models, although the collective effect of a number of the vegetation indices was evident. The EVI-1 was also the most suitable input variable to SVM, due to its capacity to distinctly differentiate diverse vegetation classes. The performance of SVM was better over regression models for estimation of the AGB. Based on the SVM-derived and the ground observations, the AGB of the area was precisely mapped for croplands, grassland and rangelands over the entire region.
英文关键词	Aboveground biomass agro-pastoral ecology satellite data Landsat data enhanced vegetation index regression model support vector machine
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000532069400001
WOS关键词	LEAF-AREA INDEX ; VEGETATION INDEXES ; FOREST BIOMASS ; ALTERNATIVE APPROACH ; AIRBORNE LIDAR ; PLANT HEIGHT ; PREDICTION ; INVENTORY ; LANDSCAPE ; EQUATIONS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; 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/2XILL650/328064
作者单位	[Deb, Dibyendu; Singh, J. P.; Singh, Amit Kumar] Indian Grassland & Fodder Res, Jhansi, India; [Deb, Shovik; Dutta, Puspendu; Choudhury, Ashok] Uttar Banga Krishi Viswavidyalaya, Cooch Behar, India; [Chakraborty, Debashis] Indian Agr Res Inst, New Delhi, India
推荐引用方式 GB/T 7714	Deb, Dibyendu,Deb, Shovik,Chakraborty, Debashis,et al. Aboveground biomass estimation of an agro-pastoral ecology in semi-arid Bundelkhand region of India from Landsat data: a comparison of support vector machine and traditional regression models[J],2020.
APA	Deb, Dibyendu.,Deb, Shovik.,Chakraborty, Debashis.,Singh, J. P..,Singh, Amit Kumar.,...&Choudhury, Ashok.(2020).Aboveground biomass estimation of an agro-pastoral ecology in semi-arid Bundelkhand region of India from Landsat data: a comparison of support vector machine and traditional regression models.GEOCARTO INTERNATIONAL.
MLA	Deb, Dibyendu,et al."Aboveground biomass estimation of an agro-pastoral ecology in semi-arid Bundelkhand region of India from Landsat data: a comparison of support vector machine and traditional regression models".GEOCARTO INTERNATIONAL (2020).