中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China

文献类型:期刊论文

作者Wuyun, Deji6; Sun, Liang6; Chen, Zhongxin5; Crusiol, Luis Guilherme Teixeira4; Dong, Jinwei3; Wu, Nitu2; Bao, Junwei1; Chen, Ruiqing6; Sun, Zheng6; Hasituya2
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2025-02-01
卷号136页码:104399
关键词Abandoned cropland Agricultural natural zone Google Earth Engine Sample adaptive optimization Agricultural sustainability
ISSN号1569-8432
DOI10.1016/j.jag.2025.104399
产权排序4
文献子类Article
英文摘要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.
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WOS关键词AGRICULTURAL LAND ABANDONMENT ; CLIMATE-CHANGE ; COVER ; DETERMINANTS ; ACCURACY ; FALLOW
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:001424014900001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/212342]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Sun, Liang
作者单位1.Inner Mongolia Acad Agr & Anim Husb Sci, Inst Rural Econ & Informat, Hohhot, Peoples R China
2.Inner Mongolia Agr Univ, Coll Grassland Resources & Environm, Hohhot, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China;
4.Brazilian Agr Res Corp, Embrapa Soja Natl Soybean Res Ctr, Londrina, Brazil;
5.Food & Agr Org United Nations, Digitizat & Informat Div, Rome, Italy;
6.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Beijing, Peoples R China;
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GB/T 7714
Wuyun, Deji,Sun, Liang,Chen, Zhongxin,et al. Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,136:104399.
APA Wuyun, Deji.,Sun, Liang.,Chen, Zhongxin.,Crusiol, Luis Guilherme Teixeira.,Dong, Jinwei.,...&Zhao, Hongwei.(2025).Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,136,104399.
MLA Wuyun, Deji,et al."Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 136(2025):104399.

入库方式: OAI收割

来源:地理科学与资源研究所

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