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Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China

文献类型：期刊论文

作者Li, Meijiao1,2; He, Fanneng2; Zhao, Caishan2,5; Yang, Fan3,4
刊名REMOTE SENSING
出版日期2022-09-01
卷号14期号:17页码:18
关键词LUCC historical cropland global datasets reliability evaluation Xinjiang area
DOI10.3390/rs14174226
通讯作者Yang, Fan(yangfan@henu.edu.cn)
英文摘要Global land use/cover change (LUCC) datasets are essential for quantitatively assessing the impacts of LUCC on global change, but many uncertainties in existing global datasets seriously hamper climate modeling. Evaluating the reliability of existing global LUCC datasets is a precondition for improved data quality. In this study, based on the regional historical document-based reconstructions, satellite-based data, and historical reclamation evidence for the Xinjiang area of China, the accuracy and rationality of cropland data for this area in the HYDE 3.2 and SAGE datasets were evaluated by utilizing comparative analysis regarding three aspects, namely the change tendency of the cropland area, the area of cropland, and the differences in spatial pattern. This study concluded that the amount of cropland in the Xinjiang area in the global and regional datasets shows both disparate trends and large differences in absolute values. Spatially, historical reclamation evidence indicated that agricultural cultivation in the Xinjiang area underwent expansion from south to north and from east to west over the past 300 years; however, the global datasets revealed that the cropland spatial patterns in the Xinjiang area in the historical period are similar to those in the current period. These differences are attributable to the uncertainties of the basic assumptions, per capita cropland area estimates, and reconstruction methods in the global datasets. The findings of the study highlight the necessity of regional studies on historical LUCC in the Xinjiang area.
WOS关键词LAND-USE SCENARIOS ; CARBON EMISSIONS ; COVER ; CONSEQUENCES ; HOLOCENE
资助项目National Key R&D Program of China[2017YFA0603304] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040101]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000851699200001
出版者MDPI
资助机构National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/182915]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Fan
作者单位1.Shanxi Univ Finance & Econ, Coll Resources & Environm, Taiyuan 030006, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat, Henan Prov & Minist Educ, Kaifeng 475001, Peoples R China
4.Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Li, Meijiao,He, Fanneng,Zhao, Caishan,et al. Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China[J]. REMOTE SENSING,2022,14(17):18.
APA Li, Meijiao,He, Fanneng,Zhao, Caishan,&Yang, Fan.(2022).Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China.REMOTE SENSING,14(17),18.
MLA Li, Meijiao,et al."Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China".REMOTE SENSING 14.17(2022):18.

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来源：地理科学与资源研究所

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