Decoding the inconsistency of six cropland maps in China  

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

机构地区：[1]Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Department of Geographical Sciences,University of Maryland,College Park,MD 20740,USA [4]College of Grassland Science and Technology,China Agricultural University,Beijing 100193,China [5]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 [6]Ministry of Education Ecological Field Station for East Asian Migratory Birds,Beijing 100084,China [7]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 [8]Institute of Remote Sensing and Geographic Information System,Peking University,Beijing 100871,China [9]Department of Forest and Conservation Sciences,University of British Columbia,Vancouver,BC,V6T 1Z4,Canada

出　　处：《The Crop Journal》2024年第1期281-294,共14页作物学报（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(72221002,42271375);the Strategic Priority Research Program(XDA28060100);the Informatization Plan Project(CAS-WX2021PY-0109)of the Chinese Academy of Sciences.

摘　　要：Accurate cropland information is critical for agricultural planning and production,especially in foodstressed 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,considerable discrepancies exist among these products both in total area and in spatial distribution of croplands,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 mountainous regions and attributed to the varying accuracy of cropland maps,cropland fragmentation and management practices such as irrigation.Our work shed light on the promotion of future cropland mapping efforts,especially in highly inconsistent regions.

关 键 词：Consistency and accuracy 10-and 30 m Cropland mapping Agricultural management China 

分 类 号：S159[农业科学—土壤学] F323.211[农业科学—农业基础科学]