Is potential cultivated land expanding or shrinking in the dryland of China? Spatiotemporal evaluation based on remote sensing and SVM

被引:10
|
作者
Cai, Liping [1 ]
Wang, Hui [1 ]
Liu, Yanxu [2 ]
Fan, Donglin [1 ]
Li, Xiaoxiao [1 ]
机构
[1] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Dryland; Potential cultivated land; Machine learning; Remote sensing; Spatiotemporal assessment; CROP PRODUCTION; CLIMATE TRENDS; WHEAT YIELD; AGRICULTURE; POLICY; REGION; GRAIN; AREA; PRODUCTIVITY; INDICATORS;
D O I
10.1016/j.landusepol.2021.105871
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Chinese population growth has led to an increase in the demand for grain. Thus, it is of great importance to carry out spatiotemporal assessments of the dynamic of potential cultivated land in China, especially in dryland sensitive to climate change. Considering that previous assessments conducted at large scales were often dependent on abundant indicators, which are not easy to obtain or map at high spatiotemporal resolutions, this study combined remote-sensing images and support vector machine (SVM) model to identify the dynamics of potential cultivated land and non-cultivated land in the dryland of China. First, among several vegetation indicators during the growing season, the Enhanced Vegetation Index (EVI) in August was the most highly correlated with the yield (R2 =0.72). Second, the potential cultivated land that has not been cultivated was mainly distributed in the northwest and the northeast of the dryland of China, while the potential non-cultivated land that has been cultivated was mainly distributed in the Loess Plateau. According to different models, the area of potential non-cultivated land was 2.78 - 15.68 times that of potential cultivated land. Last, benefitting from the wetting trend, the potential cultivated land in the dryland of China expanded from 2001 to 2015. The area of potential cultivated in 2011-2015 was 34.39% more than that in 2001-2005. These findings provide both new methodological support for the simplified assessment of the potential cultivated land and quantitative evidence indicating the maximum potential capacity for cultivation in China's dryland.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model-A Case Study of the Two Lake Plains, China
    Li, Xigui
    Wu, Qing
    Liu, Yujie
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [32] Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index
    Zhao, Xiaohan
    Han, Dianchen
    Lu, Qi
    Li, Yunpeng
    Zhang, Fangmin
    JOURNAL OF ARID LAND, 2023, 15 (08) : 920 - 939
  • [33] Study on the Extraction of Topsoil-Loss Areas of Cultivated Land Based on Multi-Source Remote Sensing Data
    Zhang, Xinle
    Qin, Chuan
    Ma, Shinai
    Liu, Jiming
    Wang, Yiang
    Liu, Huanjun
    An, Zeyu
    Ma, Yihan
    REMOTE SENSING, 2025, 17 (03)
  • [34] Research of desert and sandy desertification land partition in North China based on remote sensing technology
    Gao Huijun
    Jiang Qigang
    REMOTE SENSING OF THE ENVIRONMENT: 15TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA, 2006, 6200
  • [35] County-Level Cultivated Land Quality Evaluation Using Multi-Temporal Remote Sensing and Machine Learning Models: From the Perspective of National Standard
    Duan, Dingding
    Li, Xinru
    Liu, Yanghua
    Meng, Qingyan
    Li, Chengming
    Lin, Guotian
    Guo, Linlin
    Guo, Peng
    Tang, Tingting
    Su, Huan
    Ma, Weifeng
    Ming, Shikang
    Yang, Yadong
    REMOTE SENSING, 2024, 16 (18)
  • [36] Land Cover Changes and Urban Expansion in Chongqing, China: A Study Based on Remote Sensing Images
    Sun, Xuan
    Liu, Yunxia
    Sun, Tao
    Yu, Sihang
    Li, Chenguang
    Zhai, Lie
    ENVIRONMENT AND URBANIZATION ASIA, 2021, 12 (1_SUPPL) : S39 - S58
  • [37] Upscaling Remote Sensing Inversion Model of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai Agricultural Region, China
    Li, Yinshuai
    Chang, Chunyan
    Wang, Zhuoran
    Qi, Guanghui
    Dong, Chao
    Zhao, Gengxing
    REMOTE SENSING, 2021, 13 (24)
  • [38] Evaluation the effect of cultivated land protection policies based on the cloud model: A case study of Xingning, China
    Lu, Xinhai
    Zhang, Yanwei
    Zou, Yucheng
    ECOLOGICAL INDICATORS, 2021, 131
  • [39] Forewarning system of dynamic balance between cultivated land supply and demand at multi-measures based on remote sensing techniques
    Liu, YF
    Liu, YL
    Ren, ZQ
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY III, 2004, 5239 : 424 - 431
  • [40] Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data
    Hasan, Sarah
    Shi, Wenzhong
    Zhu, Xiaolin
    Abbas, Sawaid
    Khan, Hafiz Usman Ahmed
    SUSTAINABILITY, 2020, 12 (11)