Arid
DOI10.3390/su13095274
Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index
Yu, Xinyang; Her, Younggu; Zhu, Xicun; Lu, Changhe; Li, Xuefei
通讯作者Zhu, XC (corresponding author), Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Shandong, Peoples R China. ; Lu, CH (corresponding author), Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China. ; Lu, CH (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China.
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2021
卷号13期号:9
英文摘要Development of a high-accuracy method to extract arable land using effective data sources is crucial to detect and monitor arable land dynamics, servicing land protection and sustainable development. In this study, a new arable land extraction index (ALEI) based on spectral analysis was proposed, examined by ground truth data, and then applied to the Hexi Corridor in northwest China. The arable land and its change patterns during 1990-2020 were extracted and identified using 40 Landsat TM/OLI images acquired in 1990, 2000, 2010, and 2020. The results demonstrated that the proposed method can distinguish arable land areas accurately, with the User's (Producer's) accuracy and overall accuracy (kappa coefficient) exceeding 0.90 (0.88) and 0.89 (0.87), respectively. The mean relative error calculated using field survey data obtained in 2012 and 2020 was 0.169 and 0.191, respectively, indicating the feasibility of the ALEI method in arable land extracting. The study found that arable land area in the Hexi Corridor was 13217.58 km(2) in 2020, significantly increased by 25.33% compared to that in 1990. At 10-year intervals, the arable land experienced different change patterns. The study results indicate that ALEI index is a promising tool used to effectively extract arable land in the arid area.
英文关键词arable land extraction index arid region Landsat image Infrared band Shortwave band Hexi Corridor
类型Article
语种英语
开放获取类型gold
收录类别SCI-E ; SSCI
WOS记录号WOS:000650879500001
WOS关键词HEXI CORRIDOR ; CLIMATE-CHANGE ; CLASSIFICATION ; SETTLEMENT ; PATTERNS ; MODIS ; MAP
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351840
作者单位[Yu, Xinyang; Zhu, Xicun] Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Shandong, Peoples R China; [Yu, Xinyang; Lu, Changhe] Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; [Her, Younggu] Univ Florida, Trop Res & Educ Ctr, Dept Agr & Biol Engn, Inst Food & Agr Sci, Homestead, FL 33031 USA; [Lu, Changhe] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China; [Li, Xuefei] Linyi Nat Resources Dev Serv Ctr, Linyi 276000, Shandong, Peoples R China
推荐引用方式
GB/T 7714
Yu, Xinyang,Her, Younggu,Zhu, Xicun,et al. Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index[J],2021,13(9).
APA Yu, Xinyang,Her, Younggu,Zhu, Xicun,Lu, Changhe,&Li, Xuefei.(2021).Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index.SUSTAINABILITY,13(9).
MLA Yu, Xinyang,et al."Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index".SUSTAINABILITY 13.9(2021).
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