冬小麦作物在人类饮食中占有重要地位，在世界范围内均有种植，准确的冬小麦作物空间分布信息对监测作物生产和粮食安全至关重要。本数据集采用冬季小麦作物指数（WTCI）的作物定位新方法，绘制了2017-2022年全球第一张30 m分辨率的冬小麦作物分布图。", "ds_source": "
数据来源于Science Data Bank网站（https://www.scidb.cn/en/detail?dataSetId=f58b963999ef48cd968b0f7a2878bcbe） 。", "ds_process_way": "
基于抽穗期至收获期归一化植被指数（NDVI）特征与其他类型植被特征差异的无样本冬小麦作物识别新方法。", "ds_quality": "
经实地调查样本和Google Earth样本验证表明，该方法具有良好的性能和稳定的时空可转移性，生产者精度为81.12%，用户精度为87.85%，总体精度为87.7%。", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "全球", "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": 30859114484, "ds_files_count": 624, "ds_format": "TIFF", "ds_space_res": "30米", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "Albers", "ds_thumbnail": "c113d3a7-6df4-4990-af8f-1c62c1cf0237.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.99" ], "quality_level": 3, "publish_time": "2024-10-29 09:40:11", "last_updated": "2026-01-14 10:53:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.SCIDB.DB6605.2024", "i18n": { "en": { "title": "Global 30-m resolution distribution maps of winter-triticeae crops from 2017 to 2022 ", "ds_format": "TIFF", "ds_source": "
The data is sourced from the Science Data Bank website（ https://www.scidb.cn/en/detail?dataSetId=f58b963999ef48cd968b0f7a2878bcbe ）.", "ds_quality": "
Through field investigations and validation with Google Earth samples, it has been shown that this method has good performance and stable spatiotemporal transferability. The producer accuracy is 81.12%, the user accuracy is 87.85%, and the overall accuracy is 87.7%.", "ds_ref_way": "", "ds_abstract": "
Winter wheat crops play an important role in human diet and are planted worldwide. Accurate spatial distribution information of winter wheat crops is crucial for monitoring crop production and food security. This dataset uses a new crop localization method based on the Winter Wheat Crop Index (WTCI) to draw the world's first 30 meter resolution winter wheat crop distribution map from 2017 to 2022.
", "ds_time_res": "年", "ds_acq_place": "Global", "ds_space_res": "30米", "ds_projection": "Albers", "ds_process_way": "A new method for identifying winter wheat crops without samples based on normalized vegetation index (NDVI) features from heading to harvest and differences from other types of vegetation features.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "小麦分布", "高分辨率", "冬小麦作物指数", "遥感反演" ], "ds_subject_tags": [ "地球科学其他学科" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "袁文平", "email": "yuanwp3@mail.sysu.edu.cn", "work_for": "中山大学大气科学学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "袁文平", "email": "yuanwp3@mail.sysu.edu.cn", "work_for": "中山大学大气科学学院", "country": "中国" } ], "ds_managers": [ { "true_name": "袁文平", "email": "yuanwp3@mail.sysu.edu.cn", "work_for": "中山大学大气科学学院", "country": "中国" } ], "category": "生态" }