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
  • [21] Optimal management of cultivated land coupling remote sensing-based expected irrigation water forecasting
    Luo, Biao
    Liu, Xiao
    Zhang, Fan
    Guo, Ping
    JOURNAL OF CLEANER PRODUCTION, 2021, 308
  • [22] Heterogeneity of cultivated land surface temperature based on NDVI remote sensing retrieval in semi-arid and sandy land area
    Zhou J.
    Zhang F.
    Xu Y.
    Qiu M.
    Xie Z.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2019, 35 (07): : 143 - 149
  • [23] Remote sensing inversion and application for soil fertility of cultivated land in the hilly areas of central-south Shandong of China
    Li Y.
    Zhang Y.
    Zhao G.
    Li T.
    Li J.
    Dou J.
    Fan R.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2020, 36 (23): : 269 - 278
  • [24] Remote Sensing Monitoring and Spatial Pattern Analysis of Non-Grain Production of Cultivated Land in Anhui Province, China
    Zhi, Junjun
    Cao, Xinyue
    Liu, Wangbing
    Sun, Yang
    Xu, Da
    Da, Caiwei
    Jin, Lei
    Wang, Jin
    Zheng, Zihao
    Lai, Shuyuan
    Liu, Yongjiao
    Zhu, Guohai
    LAND, 2023, 12 (08)
  • [25] Remote Sensing Based Evaluation of Forests Changes in Liaoning Province of China
    Zhang, Rong
    Jia, Mingming
    2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018), 2018,
  • [26] Spatiotemporal analysis of wildfire in the Tigris and Euphrates basin: A remote sensing based wildfire potential mapping
    Velayati, Amir Hossein
    Boloorani, Ali Darvishi
    Kiavarz, Majid
    Samani, Najmeh Neysani
    Alavipanah, Seyed Kazem
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2024, 34
  • [27] Detection of spatiotemporal dynamics of land cover and its drivers using remote sensing and landscape metrics (Pingtan Island, China)
    Shifaw, Eshetu
    Sha, Jinming
    Li, Xiaomei
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 22 (02) : 1269 - 1298
  • [28] Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China
    Muhammad, Rizwan
    Zhang, Wenyin
    Abbas, Zaheer
    Guo, Feng
    Gwiazdzinski, Luc
    LAND, 2022, 11 (03)
  • [29] Spatiotemporal changes of cultivated land utilization in black soil region, China based on geo-information Tupu
    Li, Dan
    Chen, Guizhen
    Xi, Zhilong
    He, Pengkai
    Xin, Xiuwen
    Chen, Jiayuan
    Yu, Hongyu
    Kang, Guangqing
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [30] Sensitivity Assessment of Land Desertification in China Based on Multi-Source Remote Sensing
    Ren, Yu
    Liu, Xiangjun
    Zhang, Bo
    Chen, Xidong
    REMOTE SENSING, 2023, 15 (10)