Global 30 m annual cropland extent dynamics (2000–2024): a harmonized baseline of structural evolution and regional disparities

IF 13.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Yuanhong Liao,Shuang Chen,Yuqi Bai,Jie Wang,Peng Gong
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引用次数: 0

Abstract

Accurate annual information on cropland extent is essential for monitoring agricultural change, yet existing global products are often limited to snapshots or multiyear epochs and differ in their cropland definitions. Here we present GACED30, which, to our knowledge, is the first dedicated global 30 m annual cropland-extent dataset covering 2000–2024. The mapping framework combines gap-free SDC30 observations, spectral-semantic alignment of expert-annotated and spatially augmented samples, and rule-based spatial and temporal refinement. Independent classifiers were trained for each year using a common observation, feature, sample-construction, and modeling protocol, and the resulting annual record was used to derive pixel-level Cropping Frequency and 1 km Structural Evolution Indicators. Against independent stable-site FAST-Crop samples, GACED30 achieved an overall accuracy of 0.965 and an F 1 score of 0.844. Multitemporal assessments using GLAD Cropland and LUCAS reference samples showed higher recall and F 1 scores than GLC_FCS30D for both crop gain and crop loss, although the absolute transition scores remained modest. In a matched regional assessment in China, GACED30 achieved OA and F1 scores of 0.946 and 0.840, respectively, showing performance comparable with CACD. At the national scale, GACED30 agreed closely with definition-reconciled FAOSTAT statistics ( R 2 : 0.95; area-weighted direction match rate: 83.1 %). The sample-adjusted global cropland area was estimated at 1488.5 Mha in 2024, approximately 30.0 Mha higher than in 2000. Persistent expansion was concentrated in parts of Africa and South America, whereas stability and reduction were more widespread across much of the Global North. GACED30 provides a harmonized baseline for monitoring global cropland-extent dynamics and is publicly available at https://doi.org/10.5281/zenodo.18199675 (Chen et al., 2026).
2000-2024年全球30米年耕地面积动态:结构演变和区域差异的协调基线
准确的耕地面积年度信息对于监测农业变化至关重要,但现有的全球产品往往仅限于快照或多年期,并且在耕地定义上存在差异。在这里,我们介绍了GACED30,据我们所知,这是第一个专门的全球3000万年度耕地面积数据集,涵盖2000-2024年。该制图框架结合了无间隙SDC30观测、专家注释和空间增强样本的光谱语义对齐以及基于规则的时空细化。使用共同的观测、特征、样本构建和建模协议,每年训练独立分类器,并使用由此产生的年度记录来推导像素级的种植频率和1公里结构演化指标。在独立的稳定位点FAST-Crop样本中,GACED30的总体准确率为0.965,f1得分为0.844。使用GLAD农田和LUCAS参考样本进行的多时间评估显示,作物收益和作物损失的召回率和f1得分都高于GLC_FCS30D,尽管绝对过渡得分保持适度。在中国匹配的区域评估中,GACED30的OA和F1得分分别为0.946和0.840,表现出与CACD相当的性能。在全国范围内,GACED30与定义一致的FAOSTAT统计数据非常吻合(r2: 0.95;面积加权方向匹配率:83.1%)。经样本调整后的2024年全球耕地面积估计为1488.5 Mha,比2000年增加约30.0 Mha。持续的扩张集中在非洲和南美洲的部分地区,而稳定和减少在全球北方的大部分地区更为普遍。GACED30为监测全球耕地面积动态提供了统一的基线,并可在https://doi.org/10.5281/zenodo.18199675上公开获取(Chen et al., 2026)。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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