本数据集提供2023年东亚地区10米分辨率年度水稻分布图（数据集标识：EARice10）。研究人员利用 9万余个验证样本对EARice10的精度进行验证，结果显示该数据集的总体精度达90.48%，用户精度与生产者精度均超过 90%。", "ds_source": "
数据来源于Zenodo网站（https://zenodo.org/records/13118409）。", "ds_process_way": "
基于谷歌地球引擎（GEE）平台，通过创新提出基于合成孔径雷达（SAR）的水稻分布制图指数（SRMI）并融合光学指数构建代表性水稻样本库，采用基于堆叠策略的光学-SAR自适应融合模型整合哨兵1号与哨兵2号数据特征，经9万余个验证样本评估及与官方统计数据、已发表水稻制图产品的决定系数（R²）对比验证，完成2023年东亚地区 10 米分辨率年度水稻分布制图。", "ds_quality": "
通过与官方统计数据对比，该数据集的决定系数（R²）介于0.94—0.98；与已发表的水稻分布图数据集相比，其决定系数介于 0.79—0.98，验证了本数据集的可靠性。", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "东亚地区", "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": 4232360033, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "10", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8805feac-298a-484a-b7d9-0256057151f0.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": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2025-12-29 10:19:17", "last_updated": "2026-01-14 11:10:44", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB7050.2025", "i18n": { "en": { "title": "EARice10: A 10 m Resolution Annual Rice Distribution Map of East Asia for 2023", "ds_format": "tif", "ds_source": "
Data sourced from Zenodo website（ https://zenodo.org/records/13118409 ）.", "ds_quality": "
The reliability of the dataset is verified by an R² values ranging between 0.94 and 0.98 with respect to official statistics, and between 0.79 and 0.98 with respect to previous rice mapping datasets.", "ds_ref_way": "", "ds_abstract": "
This dataset provides a 10 m Resolution Annual Rice Distribution Map of East Asia for 2023 (EARice10). The accuracy of EARice10 is evaluated using more than 90,000 validation samples and achieves an overall accuracy of 90.48%, with both user’s and producer’s accuracies exceeding 90%.
", "ds_time_res": "年", "ds_acq_place": "East Asia", "ds_space_res": "10", "ds_projection": "", "ds_process_way": "Based on the Google Earth Engine (GEE) platform, a rice distribution mapping index (SRMI) based on synthetic aperture radar (SAR) was innovatively proposed and integrated with optical indices to construct a representative rice sample library. The optical SAR adaptive fusion model based on stacking strategy was used to integrate the data features of Sentinel-1 and Sentinel-2. After more than 90000 validation samples were evaluated and compared with official statistical data and the determination coefficient (R ²) of published rice mapping products, the annual rice distribution mapping with a resolution of 10 meters in East Asia in 2023 was completed.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "东亚地区", "10m", "水稻分布" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "东亚地区" ], "ds_time_tags": [ 2023 ], "ds_contributors": [ { "true_name": "张红", "email": "zhanghong@radi.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张红", "email": "zhanghong@radi.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张红", "email": "zhanghong@radi.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "category": "其他" }