干旱区生态环境知识资源中心(Arid): Post-classification corrections in improving the classification of Land Use/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India

Arid

DOI	10.1016/j.ejrs.2016.11.006
	Post-classification corrections in improving the classification of Land Use/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India
	Thakkar, Amee K.; Desai, Venkappayya R.; Patel, Ajay; Potdar, Madhukar B.
通讯作者	Thakkar, AK
来源期刊	EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
ISSN	1110-9823
EISSN	2090-2476
出版年	2017
卷号	20 期号:1 页码:79-89
英文摘要	Classifying Remote Sensing (RS) imagery for reliable and accurate Land Use/Land Cover (LU/LC) change information still remains a challenge in heterogeneous and arid landscapes due to spectrally similar LU/LC features. The aim of the present study is to extract reliable LU/LC information using ancillary data and change detection between 2001 and 2011 for Arjuni watershed from highly arid state Gujarat, India using RS and Geographic Information System (GIS). The Maximum Likelihood Classifier (MLC) was first applied to IRS LISS-III imagery of 2001 and 2011 and classified as: water body, forest, agricultural land, scrub forest/Prosopis, barren land, settlement/built-up land, river sand and quarry. Further, the study employed an innovative methodological framework of ancillary data ( viz., texture imagery, Normalized Difference Water Index-NDWI and drainage network) for post-classification corrections. It has significantly improved overall classification accuracies from 67.84% to 82.75% and 71.93% to 87.43% for 2001 and 2011, respectively. The change detection study showed an increase in agricultural land, forest, water body classes and decrease in scrub forest/Prosopis and river sand classes over the period of ten years. (C) 2016 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.
英文关键词	Land Use/Land Cover Remote Sensing GIS Normalized Difference Water Index (NDWI) Ancillary data
类型	Article
语种	英语
开放获取类型	Other Gold
收录类别	ESCI
WOS记录号	WOS:000406127300009
WOS关键词	INDEX NDWI ; SUPERVISED CLASSIFICATION ; IMAGE CLASSIFICATION ; ANCILLARY DATA ; URBAN-GROWTH ; LANDSCAPE ; ACCURACY ; DYNAMICS
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/332192
作者单位	[Thakkar, Amee K.; Desai, Venkappayya R.] Indian Inst Technol, Dept Civil Engn, Kharagpur 721302, W Bengal, India; [Patel, Ajay; Potdar, Madhukar B.] Bhaskaracharya Inst Space Applicat & Geoinformat, Gandhinagar, Gujarat, India
推荐引用方式 GB/T 7714	Thakkar, Amee K.,Desai, Venkappayya R.,Patel, Ajay,et al. Post-classification corrections in improving the classification of Land Use/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India[J],2017,20(1):79-89.
APA	Thakkar, Amee K.,Desai, Venkappayya R.,Patel, Ajay,&Potdar, Madhukar B..(2017).Post-classification corrections in improving the classification of Land Use/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India.EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES,20(1),79-89.
MLA	Thakkar, Amee K.,et al."Post-classification corrections in improving the classification of Land Use/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India".EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES 20.1(2017):79-89.