Continuous Discontinuous Irrigated Areas in China Dataset (CDIA) (2000-2022)

The Continuous Discontinuous Irrigated Areas in China dataset (CDIA) provides information on irrigated areas in China from 2000 to 2022. It was generated using a novel sampling framework designed to accurately identify both continuous and discontinuous irrigated areas (i.e., pixels that were irrigated irregularly across different years). The dataset provides annual IA maps for China by applying 1,688 area-specific random forest models, which utilize remotely sensed data (e.g., vegetation indices, climate factors, and terrain factors) and government statistical data (GCD) as ancillary inputs.<b>Key Features</b>:Temporal Coverage: 2000-2022Spatial Resolution: 500 metersData Sources: Remotely sensed data, government censored data (GCD), and random forest modelSpatial Reference System: EPSG:4326 (WGS-1984)File Type: TIFF:<b>Data Description</b>:This dataset depicts the spatial distribution of irrigated areas in China from 2000 to 2022. It provides insights into the dynamics of irrigation practices across different regions of China. Users can explore the temporal and spatial patterns of irrigated areas and conduct analyses to understand IA changes over time<b>Usage</b>:Researchers and policymakers can use this dataset for various purposes, including:Monitoring temporal changes of irrigated areas over ChinaAssessing the effectiveness of irrigation management policiesUnderstanding the impact of climate change on irrigation practicesIntegrating irrigation data into land use planning and agricultural development strategiesConducting predictive modeling of irrigation demand or optimizing irrigation schedulingLicense:The CDIA dataset is made available under CC BY-NC 4.0 license. Users are encouraged to cite the dataset appropriately when used in publications or research projects.中国连续与非连续灌溉区数据集（Continuous Discontinuous Irrigated Areas，简称CDIA）涵盖2000年至2022年中国灌溉区相关信息。该数据集采用全新采样框架生成，可精准识别连续与非连续灌溉区（即不同年份间灌溉行为不规则的像元）。本数据集通过1688个针对特定区域的随机森林模型，生成中国年度灌溉区（Irrigated Areas，简称IA）地图，模型输入包含遥感数据（如植被指数、气候因子与地形因子）以及政府统计数据（GCD）作为辅助输入。 **核心特征**： 时间覆盖范围：2000-2022年 空间分辨率：500米 数据来源：遥感数据、政府统计数据（GCD）与随机森林模型 空间参考系统：EPSG:4326（WGS-1984） 文件格式：TIFF **数据说明**： 本数据集呈现了2000年至2022年中国灌溉区的空间分布特征，可助力解析中国不同区域灌溉实践的动态变化。使用者可探究灌溉区的时空分布格局，并开展相关分析以明晰灌溉区随时间的演变特征。 **应用场景**： 研究人员与政策制定者可将该数据集用于多类研究场景，包括： 1. 监测中国灌溉区的时空变化 2. 评估灌溉管理政策的实施成效 3. 解析气候变化对灌溉实践的影响 4. 将灌溉数据融入土地利用规划与农业发展战略 5. 开展灌溉需求预测建模或优化灌溉调度方案 **授权协议**： 本CDIA数据集采用CC BY-NC 4.0协议发布。使用者在将其用于出版物或研究项目时，请规范引用该数据集。