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Main Authors: Su, Rina, Hasi, Tuya, Chen, Zhong xin, College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Hohhot, 010011, China, Digital FAO & Agro informatics Division (CSI), Food and Agriculture Organization of the United Nations (FAO), Roma, 00153, Italy
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19709840
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author Su, Rina
Hasi, Tuya
Chen, Zhong xin
College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Hohhot, 010011, China
Digital FAO & Agro informatics Division (CSI), Food and Agriculture Organization of the United Nations (FAO), Roma, 00153, Italy
author_facet Su, Rina
Hasi, Tuya
Chen, Zhong xin
College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Hohhot, 010011, China
Digital FAO & Agro informatics Division (CSI), Food and Agriculture Organization of the United Nations (FAO), Roma, 00153, Italy
contents <div>This repository contains the processed datasets, analysis scripts, and figure files supporting the manuscript entitled “Evaluation of Five Recent Cropland Products in China and XGBoost-SHAP Analysis of Spatial Heterogeneity Drivers”.</div> <div> </div> <div>The dataset includes processed cropland comparison results for five recent products in China, provincial and national cropland area statistics for 2021, latitudinal and longitudinal area-fraction summaries at 0.1-degree resolution, leave-one-out (LOO) validation-related materials, analysis scripts for heterogeneity assessment, climate-zone analysis, fragmentation analysis, and XGBoost-SHAP driver interpretation, as well as figure outputs and raster products supporting the manuscript.</div> <div> </div> <div>The five evaluated cropland products are CACD, CLCD, GLC_FCS30D, WorldCover V200, and ESRI 10 m Land Cover. The materials correspond to the harmonized 2021 comparison under a unified FAO-based arable-only cropland definition and a common 30 m framework.</div> <div> </div> <div>Original upstream land-cover products and some third-party source datasets should be accessed from their original providers as cited in the manuscript. This Zenodo record provides the processed materials necessary to support and reproduce the main findings of the study.</div>
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spellingShingle Evaluation of Five Recent Cropland Products in China and XGBoost-SHAP Analysis of Spatial Heterogeneity Drivers
Su, Rina
Hasi, Tuya
Chen, Zhong xin
College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, Hohhot, 010011, China
Digital FAO & Agro informatics Division (CSI), Food and Agriculture Organization of the United Nations (FAO), Roma, 00153, Italy
<div>This repository contains the processed datasets, analysis scripts, and figure files supporting the manuscript entitled “Evaluation of Five Recent Cropland Products in China and XGBoost-SHAP Analysis of Spatial Heterogeneity Drivers”.</div> <div> </div> <div>The dataset includes processed cropland comparison results for five recent products in China, provincial and national cropland area statistics for 2021, latitudinal and longitudinal area-fraction summaries at 0.1-degree resolution, leave-one-out (LOO) validation-related materials, analysis scripts for heterogeneity assessment, climate-zone analysis, fragmentation analysis, and XGBoost-SHAP driver interpretation, as well as figure outputs and raster products supporting the manuscript.</div> <div> </div> <div>The five evaluated cropland products are CACD, CLCD, GLC_FCS30D, WorldCover V200, and ESRI 10 m Land Cover. The materials correspond to the harmonized 2021 comparison under a unified FAO-based arable-only cropland definition and a common 30 m framework.</div> <div> </div> <div>Original upstream land-cover products and some third-party source datasets should be accessed from their original providers as cited in the manuscript. This Zenodo record provides the processed materials necessary to support and reproduce the main findings of the study.</div>
title Evaluation of Five Recent Cropland Products in China and XGBoost-SHAP Analysis of Spatial Heterogeneity Drivers
url https://doi.org/10.5281/zenodo.19709840