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Article

Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index

by 1,2, 3, 1,*, 2,4,* and 5
1
College of Resources and Environment, Shandong Agricultural University, Tai’an 271018, China
2
Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, China
3
Tropical Research and Education Center, Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Homestead, FL 33031, USA
4
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China
5
Linyi Natural Resources Development Service Center, Linyi 276000, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Yu Cao
Sustainability 2021, 13(9), 5274; https://doi.org/10.3390/su13095274
Received: 14 March 2021 / Revised: 24 April 2021 / Accepted: 28 April 2021 / Published: 8 May 2021
(This article belongs to the Special Issue Agricultural Landscape Stability and Sustainable Land Management)
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 km2 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. View Full-Text
Keywords: arable land extraction index; arid region; Landsat image; Infrared band; Shortwave band; Hexi Corridor arable land extraction index; arid region; Landsat image; Infrared band; Shortwave band; Hexi Corridor
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MDPI and ACS Style

Yu, X.; Her, Y.; Zhu, X.; Lu, C.; Li, X. Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index. Sustainability 2021, 13, 5274. https://doi.org/10.3390/su13095274

AMA Style

Yu X, Her Y, Zhu X, Lu C, Li X. Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index. Sustainability. 2021; 13(9):5274. https://doi.org/10.3390/su13095274

Chicago/Turabian Style

Yu, Xinyang, Younggu Her, Xicun Zhu, Changhe Lu, and Xuefei Li. 2021. "Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index" Sustainability 13, no. 9: 5274. https://doi.org/10.3390/su13095274

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