该数据集基于GEE云平台收集和处理Landsat5/7/8卫星遥感数据，计算模拟2000-2021年甘南地区遥感生态指数（Remote sensing based ecological index, RSEI），并将其分为差（Worst：0.0-0.2）、较差（Poor：0.2-0.4）、中等（Moderate：0.4-0.6）、良（Good：0.6-0.8）和优（Excellent：0.8-0.1）5个健康等级，旨在对甘南高寒草地生态系统健康状况进行评估，分析其时空演变特征，为甘南高寒草地生态系统健康管理和恢复提供数据支撑。数据集共21幅栅格图（TIFF）。", "ds_source": "
数据源为2000-2020年Landsat卫星地表数据集（LANDSAT/LT05/C01/T1_SR，LANDSAT/LE07/C01/T1_SR和 LANDSAT/LC08/C01/T1_SR），基于GEE云平台和ArcGIS软件处理计算。", "ds_process_way": "
基于Google Earth Engine (GEE)平台获取并处理Landsat 5 TM、Landsat 7 ETM+和Landsat 8 OLI/TIRS地表反射率数据，计算绿度-NDVI、湿度-WET、干度-NDBSI（建筑指数（IBI）和裸土指数（SI）的组合）、热度-LST和归一化水体指数-MNDWI。通过对绿度、湿度、干度和热度指标的主成分分析构建了2000年至2020年甘南高寒草地植被生长季（6月至9月）RSEI指数。", "ds_quality": "
本数据集经过严格的质量控制，在进行数据指标主成分分析前，对绿度-NDVI、湿度-WET、干度-NDBSI（建筑指数（IBI）和裸土指数（SI）的组合）、热度-LST这四个指标均利用 MNDWI指数对研究区域的水域进行掩膜处理，并基于 CFmask 算法进行图像去云处理，用于构建 LST 的每个 Landsat 5/7/8 热红外（TIR）波段都使用三次卷积法重新采样至 30 米。", "ds_acq_start_time": "2022-07-01 00:00:00", "ds_acq_end_time": "2020-07-01 00:00:00", "ds_acq_place": "甘南藏族自治州", "ds_acq_lon_east": 104.75833333333334, "ds_acq_lat_south": 33.108333333333334, "ds_acq_lon_west": 100.7625, "ds_acq_lat_north": 35.56666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 4401552374, "ds_files_count": 24, "ds_format": "tif", "ds_space_res": "30m", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "7203de93-ce9b-4992-8619-5e076807c9cd.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "c0ec87bd-ed8d-423e-ad11-8dea17bd175d", "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": "2024-12-30 17:15:49", "last_updated": "2025-01-05 15:45:01", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6705.2024", "i18n": { "en": { "title": "Spatial distribution data of remotely sensed ecosystem health in Gannan alpine grassland from 2000 to 2020", "ds_format": "", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "", "ds_time_res": "年", "ds_acq_place": "Gannan Tibetan Autonomous Prefecture", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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, "ds_topic_tags": [ "甘南高寒草地生态系统", "RSEI", "生态系统健康等级", "空间分布" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘南高寒草地" ], "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": "杜泽玉", "email": "duzeyu@nieer.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": "杜泽玉", "email": "duzeyu@nieer.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": "杜泽玉", "email": "duzeyu@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "生态" }