数字农科院2.0

Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China

文献类型： 外文期刊

作者： Deji Wuyun;Liang Sun;Zhongxin Chen;Luís Guilherme Teixeira Crusiol;Jinwei Dong;Nitu Wu;Junwei Bao;Ruiqing Chen;Zheng Sun;Hasituya;Hongwei Zhao

作者机构：

关键词： Abandoned cropland;Agricultural natural zone;Agricultural sustainability;Google Earth Engine;Sample adaptive optimization

期刊名称： International Journal of Applied Earth Observation and Geoinformation

ISSN： 1569-8432

年卷期： 2025 年 136 卷

页码：

收录情况： SCIE（2025版）

摘要： At the end of the last century, the expansion of agricultural land in the arid and semi-arid regions of northern China intensified the conflict between agricultural development and ecological protection. Accurately mapping abandoned cropland is crucial for balancing these competing interests. This research evaluates the effectiveness of an innovative remote sensing method for producing 30-meter-resolution long-term maps of abandoned and reclaimed croplands in Inner Mongolia, China, using a temporal segmentation approach developed with Google Earth Engine. The method integrates ground sample collection of major crops and inactive cropland with Normalized Difference Vegetation Index (NDVI) analysis during key growth stages, enabling precise classification of cultivation status. By employing a binary classification strategy and adaptive optimization, the efficiency of sample generation improved, providing more effective samples for the Random Forest algorithm. Cropland status maps were successfully generated for Inner Mongolia from 2000 to 2022 with annual accuracy between 97% and 99%. The Temporal Segmentation of Abandoned and Reclaimed Cropland (TSARC) method created time series maps of abandoned and reclaimed cropland at a 30-meter resolution, achieving an overall accuracy of 87.61%. The proposed remote sensing methodology reveals spatiotemporal trends in abandonment rates across arid and semi-humid regions, offering valuable insights for agricultural and environmental management in Inner Mongolia. Considering regional climatic, hydrological, and phenological conditions improves sample collection efficiency and cropland status monitoring. While designed for northern China, this method is also applicable to other single-season agricultural regions for varied agricultural land use monitoring.

分类号：

  • 相关文献

[1]基于GEE云平台与Sentinel数据的高分辨率水稻种植范围提取——以湖南省为例. 桑国庆,唐志光,毛克彪,邓刚,王靖文,李佳. 2022

[2]基于Sentinel-1/2数据的中国南方单双季稻识别结果一致性分析. 杨靖雅,胡琼,魏浩东,蔡志文,张馨予,宋茜,徐保东. 2022

[3]基于多时相遥感植被指数的柑橘果园识别. 梁晨欣,黄启厅,王思,王聪,余强毅,吴文斌. 2021

[4]东北三省2020-2022年间10 m空间分辨率耕地资源空间分布数据集. 申格,刘航,李丹丹,陈实,邹金秋. 2023

[5]Extraction of Abandoned Cropland Using Multisource Remote Sensing Images in Suburban Regions: A Case Study of Zengcheng, Guangdong Province. Feng, Shanshan,Jiang, Shun,Liu, Xu,Zhang, Lei,Gan, Yangying,Xia, Ning,Wu, Wenbin,Zhou, Canfang. 2024

[6]Reintroduction of Grassland Plant Species Shapes Soil Bacterial Ecological Groups and Contributes Differently To Bacterial Diversity. Zijian Ding, Yucheng Guo, Lizhu Guo, Baihui Ren, Jiyun Yang, Jiahuan Li, Long Bai. 2026

[7]Editorial: Agricultural non-point source pollution and greenhouse gas: emission, control, and management. Liang Zhang,Hongbin Liu,Xiaobo Qin,Jian Liu. 2023

[8]Legume integration for biological control deserves a firmer scientific base. Wyckhuys, Kris A. G.,Gonzalez-Chang, M.,Lavandero, B.,Gc, Y.,Hadi, Bar. 2023

[9]Evaluating China Food's Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method. Chen, Xi,Pu, Mingzhe,Zhong, Yu. 2022

[10]Agroecological Efficiency Evaluation Based on Multi-Source Remote Sensing Data in a Typical County of the Tibetan Plateau. Wang, Qizhi,Gao, Maofang,Zhang, Huijie. 2022

[11]Is the Ratoon Rice System More Sustainable? An Environmental Efficiency Evaluation Considering Carbon Emissions and Non-Point Source Pollution. Hui Qiao,Mingzhe Pu,Ruonan Wang,Fengtian Zheng. 2024

[12]Transitioning towards dynamic, nature-based crop defenses: Dynamic, nature-based crop defenses: KAG Wyckhuys, X-W Wang and M Elkahky. Kris A.G. Wyckhuys,Xiao Wei Wang,Maged Elkahky. 2024

[13]The stabilizing effect of scale breeding on swine production volatility-empirical evidence from China. Hui Jiang,Mingli Wang,Zhaohui Yan,Yumeng Sun. 2024

[14]Machine learning unveils the role of biochar application in enhancing tea yield by mitigating soil acidification in tea plantations. Rongxiu Yin,Xin Li,Yating Ning,Qiang Hu,Yihu Mao,Xiaoqin Zhang,Xinzhong Zhang. 2025

[15]Cotton production in the Yellow River Basin of China: reforming cropping systems for ecological, economic stability and sustainable production. Su, Yuexia,Wei, Xuewen,Wang, Zhanbiao,Gao, Lei,Zhang, Zhenggui. 2025

[16]Compaction shapes CO2 emission contrasts in sloping farmland: Erosion-deposition zones respond via soil structure and microbiome. Huizhou Gao,Mengni Zhang,Xiaojun Song,Zixuan Han,Angyuan Jia,Qiqi Gao,Shanshan Nan,Shengping Li,Xueping Wu. 2025

[17]Development of China's Crop Disease and Pest Monitoring and Forecasting System: A Comprehensive Review. Bai, Shuxiong,Zhang, Yong,Yan, Zhanfeng,Guo, Jingfei,Wang, Yueqin,Zhang, Bo,Yang, Xianming,Zhang, Feng,Wang, Zhenying. 2025

[18]Optimizing crop configuration with genetic algorithm to improve water-energy-food-economy nexus in Southern Xinjiang. Bowei Duan,Yanyan Shen,Zijin Liu,Zhengwu Zhao,Jiacheng Li,Yunlong Zhai,Guodong Chen,Sijia Chang,Jixiao Cui,Matthew Tom Harrison,Ke Liu,Mayire Aizezi,Juzhen Xu,Wangsheng Gao,Xiaogang Yin,Yuanquan Chen. 2025

[19]Improving digital mapping of soil organic matter in cropland by incorporating crop rotation. Yuan Liu,Songchao Chen,Qiangyi Yu,Zejiang Cai,Qingbo Zhou,Sonoko Dorothea Bellingrath-Kimura,Wenbin Wu. 2023

[20]Mapping of lakes in the Qinghai-Tibet Plateau from 2016 to 2021: trend and potential regularity. Zhichong Yang,Si Bo Duan,Xiaoai Dai,Yingwei Sun,Meng Liu. 2022

作者其他论文 更多>>