首页|Decoding the inconsistency of six cropland maps in China

Decoding the inconsistency of six cropland maps in China

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Accurate cropland information is critical for agricultural planning and production,especially in food-stressed countries like China.Although widely used medium-to-high-resolution satellite-based cropland maps have been developed from various remotely sensed data sources over the past few decades,consid-erable discrepancies exist among these products both in total area and in spatial distribution of crop-lands,impeding further applications of these datasets.The factors influencing their inconsistency are also unknown.In this study,we evaluated the consistency and accuracy of six cropland maps widely used in China in circa 2020,including three state-of-the-art 10-m products(i.e.,Google Dynamic World,ESRI Land Cover,and ESA WorldCover)and three 30-m ones(i.e.,GLC_FCS30,GlobeLand 30,and CLCD).We also investigated the effects of landscape fragmentation,climate,and agricultural management.Validation using a ground-truth sample revealed that the 10-m-resolution WorldCover provided the highest accuracy(92.3%).These maps collectively overestimated Chinese cropland area by up to 56%.Up to 37%of the land showed spatial inconsistency among the maps,concentrated mainly in mountain-ous regions and attributed to the varying accuracy of cropland maps,cropland fragmentation and man-agement practices such as irrigation.Our work shed light on the promotion of future cropland mapping efforts,especially in highly inconsistent regions.

Consistency and accuracy10-and 30 mCropland mappingAgricultural management China

Yifeng Cui、Ronggao Liu、Zhichao Li、Chao Zhang、Xiao-Peng Song、Jilin Yang、Le Yu、Mengxi Chen、Jinwei Dong

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Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

University of Chinese Academy of Sciences,Beijing 100049,China

Department of Geographical Sciences,University of Maryland,College Park,MD 20740,USA

College of Grassland Science and Technology,China Agricultural University,Beijing 100193,China

Ministry of Education Ecological Field Station for East Asian Migratory Birds,Department of Earth System Science,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China

Ministry of Education Ecological Field Station for East Asian Migratory Birds,Beijing 100084,China

Tsinghua University(Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping,Beijing 100084,China

Institute of Remote Sensing and Geographic Information System,Peking University,Beijing 100871,China

Department of Forest and Conservation Sciences,University of British Columbia,Vancouver,BC,V6T 1Z4,Canada

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaStrategic Priority Research ProgramInformatization Plan Project of the Chinese Academy of Sciences

7222100242271375XDA28060100CAS-WX2021PY-0109

2024

作物学报(英文版)

作物学报(英文版)

CSTPCD
ISSN:
年,卷(期):2024.12(1)
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