本系列产品为长时序（约 20 年）灌溉用水量试验数据集，空间分辨率 0.25°。数据集覆盖四大区域：美国本土（CONUS）、西班牙东北部埃布罗河流域、澳大利亚东南部墨累 - 达令流域以及印度。\n
该数据集源自欧洲空间局（ESA）气候变化倡议——人为用水（CCI-AWU）预研项目。数据集通过三种方法生成：基于土壤水分的反演法、基于土壤水分的差值法、依托 Noah-MP 模型构建的模型-观测融合法。\n
基于土壤水分的反演法为四大区域生成 5 套数据集，分别采用不同土壤水分产品作为输入数据源，包括：ESA CCI 组合土壤水分产品、ESA CCI 被动土壤水分产品、高级散射计（ASCAT）、土壤水分与海洋盐度卫星（SMOS）、土壤水分主动被动卫星（SMAP）。\n
基于土壤水分的差值法为四大区域生成 6 套数据集，每套组合不同土壤水分与蒸散发（ET）产品作为输入，具体组合如下：ESA CCI 组合土壤水分 + FLUXCOM 蒸散发、ESA CCI 被动土壤水分 + FLUXCOM 蒸散发、ESA CCI 主动土壤水分 + FLUXCOM 蒸散发、ESA CCI 组合土壤水分 + SSEBOP 蒸散发、ESA CCI 被动土壤水分 + SSEBOP 蒸散发、ESA CCI 主动土壤水分 + SSEBOP 蒸散发。\n
模型-观测融合法应用于美国本土与墨累-达令流域，依托三套不同灌溉地表分布图生成数据集，输入数据包括：基于 Landsat 提取的全球雨养与灌溉农田产品（简称 Landsat）、相对偏差法（Method1）、多分辨率分析法（Method2）。\n
该灌溉估算产品为月尺度整合数据。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "美国本土（CONUS）,西班牙东北部埃布罗河流域,澳大利亚东南部墨累 - 达令流域,印度", "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": "open-access", "ds_total_size": 476431445, "ds_files_count": 0, "ds_format": "*nc", "ds_space_res": "0.25°", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "65052f74-8096-42ca-952f-cffb17281691.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.45", "210" ], "quality_level": 0, "publish_time": "2026-07-23 09:43:46", "last_updated": "2026-07-23 09:43:46", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.zenodo.db7658.2026", "i18n": { "en": { "title": "Regional datasets of long-term and coarse resolution irrigation estimates from space", "ds_format": "*nc", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
The products are experimental datasets of long-term (approximately 20 years) Irrigation Water Use at 0.25° resolution. They cover four regions: the Contiguous United States (CONUS), the Ebro River Basin in north-eastern Spain, the Murray-Darling Basin in south-eastern Australia, and India.\r\n
These datasets are the outcome of the European Space Agency (ESA) Climate Change Initiative Anthropogenic Water Use (CCI-AWU) precursor project (project link). They were produced using three different methods: SM-based (Soil-Moisture-based) Inversion, SM-based Delta, and Model-Observation Integration, which is based on the Noah-Multiparameterization model.\r\n
The SM-based Inversion method was used to produce five datasets for the four regions, each using a different SM product as input. These include ESA CCI Combined, ESA CCI Passive, ASCAT (Advanced Scatterometer), SMOS (Soil Moisture and Ocean Salinity), and SMAP (Soil Moisture Active Passive).\r\n
The SM-based Delta method was used to produce six datasets for the four regions, each combining different SM and evapotranspiration (ET) products as input. The combinations include ESA CCI Combined SM & FLUXCOM ET, ESA CCI Passive SM & FLUXCOM ET, ESA CCI Active SM & FLUXCOM ET, ESA CCI Combined SM & SSEBOP ET, ESA CCI Passive SM & SSEBOP ET, and ESA CCI Active SM & SSEBOP ET.\r\n
The Model-Observation Integration method was applied to the CONUS and Murray-Darling Basin regions, producing three datasets using different irrigated surface maps as input. These maps include the Landsat-Derived Global Rainfed and Irrigated-Cropland Product (referred to as \"Landsat\", the Relative Bias Approach (referred to as \"Method1\"), and the Multi-Resolution Analysis Approach (referred to as \"Method2\").\r\n
The irrigation products are delivered with monthly temporal aggregation.", "ds_time_res": "", "ds_acq_place": "CONUS, Ebro River Basin in northeastern Spain, Murray-Darling Basin in southeastern Australia, India", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "灌溉", "遥感", "卫星", "模型", "基于土壤水分的", "灌溉水", "土壤水分", "蒸散发（ET）" ], "ds_subject_tags": [ "地理学", "农学" ], "ds_class_tags": [], "ds_locus_tags": [ "美国本土（CONUS）", "西班牙东北部埃布罗河流域", "澳大利亚东南部墨累 - 达令流域", "印度" ], "ds_time_tags": [], "ds_contributors": [ { "true_name": "Pierre Laluet", "email": "pierre.laluet@geo.tuwien.ac.at", "work_for": "Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria", "country": "奥地利" } ], "ds_meta_authors": [ { "true_name": "Pierre Laluet", "email": "pierre.laluet@geo.tuwien.ac.at", "work_for": "Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria", "country": "奥地利" } ], "ds_managers": [ { "true_name": "Pierre Laluet", "email": "pierre.laluet@geo.tuwien.ac.at", "work_for": "Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria", "country": "奥地利" } ], "category": "水文" }