灌溉耕地分布是开展生态、水文和气候研究的关键数据，并在水土资源管理中具有特别重要的地位。通过半自动机器学习模型，融合多源遥感数据（包括耕地分布、植被指数、水稻田分布）、灌溉统计和调查数据，以及灌溉适宜性，生成了中国逐年、250米灌溉耕地分布图（CIrrMap250）。利用2万个参考样本和高分辨率灌溉取水数据，对灌溉耕地分布数据的精度进行评估。结果显示，CIrrMap250在2000年、2010年和2020年的总体精度为0.79-0.88，优于现有的同类产品。", "ds_source": "
耕地融合产品以tif格式存储，文件的名称为“CIrrMap250_yyyy.tif”，其中yyyy代表年，CIrrMap250_2000.tif就代表这个tif文件描述2000年我国灌溉耕地分布状况。数据以GeoTIFF格式呈现，采用WGS84地理坐标，图中的值范围：0-100， 代表每个250×250米网格中灌溉耕地的百分比（即像素值 = 灌溉面积 / 像素面积 × 100）。", "ds_process_way": "
通过融合多源遥感数据（包括耕地分布、植被指数、水稻田分布）、灌溉统计和调查数据，以及灌溉适宜性研制而成。", "ds_quality": "
数据的时空分辨率及精度优于同类产品。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2750276804, "ds_files_count": 22, "ds_format": "tif", "ds_space_res": "250m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f148c0cc-e5c4-4991-ab32-f48f51938ae7.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2024-12-27 15:52:37", "last_updated": "2026-01-13 16:44:00", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.FIGSHARE.DB6701.2024", "i18n": { "en": { "title": "CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020", "ds_format": "TIFF", "ds_source": "
The farmland integration product is stored in tif format, and the file name is \"CIrrMap250_yyyy. tif\", where yyyy represents the year, and CIrrMap250_2000.tif represents this tif file describing the distribution of irrigated farmland in China in 2000. The data is presented in GeoTIFF format, using WGS84 geographic coordinates. The value range in the graph is 0-100, representing the percentage of irrigated farmland in each 250 × 250 meter grid (i.e. pixel value=irrigated area/pixel area × 100).", "ds_quality": "
The spatiotemporal resolution and accuracy of the data are superior to similar products.", "ds_ref_way": "", "ds_abstract": "
The distribution of irrigated farmland is a key data for conducting ecological, hydrological, and climatic research, and holds a particularly important position in soil and water resource management. By using a semi-automatic machine learning model and integrating multiple remote sensing data sources (including farmland distribution, vegetation index, and rice field distribution), irrigation statistics and survey data, as well as irrigation suitability, a China annual and 250 meter irrigated farmland distribution map (CIrrMap250) was generated. Evaluate the accuracy of irrigated farmland distribution data using 20000 reference samples and high-resolution irrigation water intake data. The results show that the overall accuracy of CIrrMap250 in 2000, 2010, and 2020 was 0.79-0.88, which is superior to existing similar products.
", "ds_time_res": "年", "ds_acq_place": "China", "ds_space_res": "250m", "ds_projection": "", "ds_process_way": "Developed by integrating multi-source remote sensing data (including farmland distribution, vegetation index, rice field distribution), irrigation statistics and survey data, as well as irrigation suitability.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "中国", "灌溉耕地", "分布" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "张凌", "email": "zhanglingky@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张凌", "email": "zhanglingky@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张凌", "email": "zhanglingky@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "水文" }