本数据采用经过辐射校正和几何校正的2021年1月至10月哨兵2号光学卫星数据红、近红波段为数据源，通过计算得出的数据。数据为WGS84坐标系，墨卡托投影，精度为10米，以1:25万标准分幅存储，共151分幅，每月一期，共10期。
", "ds_source": "采用经过辐射校正和几何校正的2021年1月至10月哨兵2号光学卫星数据红、近红波段为数据源。
", "ds_process_way": "数据采用经过辐射校正和几何校正的2021年1月至10月哨兵2号光学卫星数据红、近红波段为数据源，通过计算公式NDVI=(Nir-Red)/(Nir+Red)计算得出结果。数据为WGS84坐标系，墨卡托投影，精度为10米，以1:25万标准分幅存储，共151分幅，每月一期，共10期。
", "ds_quality": "数据生产按照中国国家标准标准号GB/T 41280-2022《卫星遥感影像植被指数产品规范》要求，采用经验模型法，经过辐射校正与几何校正，质量合格。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "新疆全域", "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": 3058538177536, "ds_files_count": 12, "ds_format": ".pix格式", "ds_space_res": "10米", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "墨卡托投影", "ds_thumbnail": "67bbbfae-020e-4acf-80b7-f66292dce801.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "数据来源引用：新疆10米植被指数数据产品（2021年）来源于第三次新疆综合科学考察专项 \"空天地网一体化综合科考监测体系建设(2021xjkk1400)\"", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.40" ], "quality_level": 1, "publish_time": "2025-12-04 19:05:45", "first_publish_time": null, "last_updated": "2026-01-20 19:00:54", "protected": false, "protected_to": "2025-10-31 00:00:00", "lang": "zh", "cstr": "33110.11.XIEG.xjsedata.2022.00000030", "license": null, "extra": null, "files_shape": [ { "name": "新疆10米植被指数数据产品-2021年", "size": null, "is_dir": true } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Xinjiang 10-meter vegetation index data products (2021)", "ds_abstract": "This data uses the red and near-red bands of Sentinel 2 optical satellite data from January to October 2021 that have been radiometric corrected and geometrically corrected as the data source, and is calculated. The data is in the WGS84 coordinate system, Mercator projection, with an accuracy of 10 meters, and is stored in standard frames of 1: 250,000, with a total of 151 frames, one issue per month, and a total of 10 issues.
", "ds_source": "The red and near-red bands of Sentinel 2 optical satellite data from January to October 2021 that have been radiometric corrected and geometrically corrected are used as the data sources.
", "ds_process_way": "The data uses the red and near-red bands of Sentinel 2 optical satellite data from January to October 2021 that have been radiometric corrected and geometrically corrected as the data source, and the results are calculated through the calculation formula NDVI=(Nir-Red)/(Nir+Red). The data is in the WGS84 coordinate system, Mercator projection, with an accuracy of 10 meters, and is stored in standard frames of 1: 250,000, with a total of 151 frames, one issue per month, and a total of 10 issues.
", "ds_quality": "The data production is in accordance with the requirements of China's National Standard No. GB/T 41280-2022 \"Product Specification for Satellite Remote Sensing Image Vegetation Index\", adopts the empirical model method, and has undergone radiation correction and geometric correction, and the quality is qualified.
", "ds_acq_place": "Xinjiang whole region", "ds_ref_instruction": "Data source citation: Xinjiang's 10-meter vegetation index data product (2021) comes from the third Xinjiang comprehensive scientific expedition special project \"Construction of Integrated Comprehensive Scientific Research Monitoring System of Air, Space, Space and Network (2021 xjkk1400)\"", "ds_format": ".pix format", "ds_projection": "Mercator projection", "ds_space_res": "10 meters", "ds_time_res": "months" } }, "license_type": null, "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": [ "植被指数", "哨兵卫星" ], "ds_subject_tags": [ "地图学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆" ], "ds_time_tags": [ 2021 ], "ds_contributors": [ "杨辽", "王伟胜", "方晖" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李锦" ], "category": "遥感再分析数据" }