青藏高原一直以来是生物多样性和水循环的生态屏障，也是全球气候变化的指示器，青藏高原地形地貌复杂，生态环境敏感且脆弱。近几十年来，随着青藏高原人类活动的加剧和全球气候变化的影响，青藏高原生态环境问题日益突出，科学准确地评估青藏高原的生态环境质量有助于为科学认知青藏高原生态环境质量提供基础信息。\n
基于多个MODIS数据集，选取NDVI、LST、WET、NDBSI四个指标，采用主成分分析法生产了2000-2022年青藏高原500m空间分辨率的遥感生态指数数据集。在原遥感生态指数计算方法的基础上，进行了改进，具有更好的时序可比性，能更好地适用于地区长时序的生态环境质量监测。本数据集可以为青藏高原的高质量发展的可持续管理和建设提供理论依据和科学支撑。", "ds_source": "
数据来源于 https://www.scidb.cn/en/detail?dataSetId=85b967b92ff0428ca3f7863781f79763&version=V2 。", "ds_process_way": "
基于多个MODIS数据集，选取NDVI、LST、WET、NDBSI四个指标，采用主成分分析法生产了2000-2022年青藏高原500m空间分辨率的遥感生态指数数据集。", "ds_quality": "
在原遥感生态指数计算方法的基础上，进行了改进，具有更好的时序可比性，能更好地适用于地区长时序的生态环境质量监测。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "青藏高原", "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": 1383620398, "ds_files_count": 24, "ds_format": "", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "9afab0d8-0ae0-410e-91a8-30b4174e50ee.png", "ds_thumb_from": 0, "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": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-04-29 11:33:56", "last_updated": "2025-04-29 11:33:56", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/31253.11.sciencedb.17569", "i18n": { "en": { "title": "Improved remote sensing ecological index dataset of the Qinghai-Tibet Plateau from 2000 to 2022", "ds_format": "", "ds_source": "
", "ds_quality": "
", "ds_ref_way": "", "ds_abstract": "
The Qinghai-Tibet Plateau, long recognized as an ecological barrier for biodiversity and water cycling, also serves as a sensitive indicator of global climate change. Its intricate terrain and fragile ecosystem have faced escalating challenges in recent decades, driven by intensified human activities and the impacts of a changing climate. Accurately assessing the plateau’s ecological health is essential for developing a comprehensive understanding of its environmental dynamics. Based on multiple MODIS datasets, four indicators including NDVI, LST, WET, and NDBSI were selected, and a Principal Component Analysis (PCA) method was employed to generate an improved remote sensing ecological index (IRSEI) dataset spanning the years 2000–2022, with a spatial resolution of 500 meters. Notably, the RSEI calculation method was refined to enhance its temporal comparability, facilitating long-term monitoring of the region’s ecological well-being. The dataset underwent water and snow masking to eliminate the influence of water bodies and snow. The spatial distribution of the IRSEI was validated against a land use dataset, and the results demonstrated a high degree of consistency between the IRSEI data distribution and the land use types on the Qinghai-Tibet Plateau. This dataset can serve as a theoretical basis and scientific support for the sustainable management and development of the Qinghai-Tibet Plateau, contributing to its high-quality development.
", "ds_time_res": "", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "青藏高原", "生态质量", "遥感生态指数", "时空格局" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "龙腾飞", "email": "longtf@aircas.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": "龙腾飞", "email": "longtf@aircas.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": "龙腾飞", "email": "longtf@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "category": "生态" }