湖泊蓄水量变化是青藏高原（TP）自然气候变化的一个独特指标。然而，该地区仍然缺乏全面的湖泊蓄水量数据，尤其是小于 10 平方公里的湖泊。在本数据集中，我们利用大地遥感卫星（Landsat）影像和数字地形模型，完成了青藏高原内流盆地（EBTP）上 976 个面积大于 1 平方公里的湖泊在 1989-2019 年期间的年相对湖泊体积（RLV）普查。我们的方法首先识别单个湖泊，确定其分析范围，并根据大地遥感卫星图像计算年湖泊面积。然后推导出湖泊面积与海拔的关系，估算湖面海拔并计算 RLV。与现有的几个数据集进行验证和比较后发现，我们的数据更可靠、更全面。我们的研究为该地区提供了完整的长期湖泊水量变化数据，是对现有湖泊数据集的补充。", "ds_source": "
本研究使用的数据包括陆地卫星图像、联合研究中心全球地表水数据、航天飞机雷达地形图任务（SRTM）数字高程模型（DEM）、高级陆地观测卫星（ALOS）数字地表模型 （DSM）以及一些公共湖泊存储数据。ALOS 和 SRTM 的空间分辨率均为30米，覆盖研究区域。", "ds_process_way": "
在这项研究中，相对湖泊体积（RLV）的计算分为两个步骤。第一步是识别单个湖泊，确定其分析范围，并根据大地遥感卫星图像计算年度湖泊面积。第二步是推导湖泊面积-海拔关系，估算湖面海拔，计算湖泊水量变化。第一步的具体步骤包括三个子步骤：湖泊识别、湖泊分析范围和种子确定、水域分类和分割以及年湖泊面积计算。第二步可分为推导湖泊面积-高程关系和计算湖泊RLV。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "1984-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 99.37888888888888, "ds_acq_lat_south": 29.828888888888887, "ds_acq_lon_west": 78.64583333333334, "ds_acq_lat_north": 34.42777777777778, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 77418361, "ds_files_count": 29, "ds_format": "shp", "ds_space_res": "30m", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8ef1f9f2-5f8a-4beb-9eab-4db8c5c05501.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": "2023-10-23 11:34:08", "last_updated": "2026-01-14 10:33:56", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB4055.2023", "license": null, "i18n": { "en": { "title": "Dataset of Lake Area and Volume Changes in Internal Flow Basins of the Qinghai Tibet Plateau (1989-2019)", "ds_format": "shp", "ds_source": "
The data used in this study includes land satellite images, global surface water data from the Joint Research Center, digital elevation models (DEM) from the Space Shuttle Radar Topography Mission (SRTM), advanced land observation satellites (ALOS) digital surface models (DSM), and some public lake storage data. The spatial resolution of ALOS and SRTM is both 30 meters, covering the study area.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The change in lake water storage capacity is a unique indicator of natural climate change in the Qinghai Tibet Plateau (TP). However, the region still lacks comprehensive lake water storage data, especially for lakes smaller than 10 square kilometers. In this dataset, we utilized Landsat imagery and digital terrain models to conduct an annual relative lake volume (RLV) survey of 976 lakes with an area greater than 1 square kilometer in the Qinghai Tibet Plateau Internal Flow Basin (EBTP) from 1989 to 2019. Our method first identifies individual lakes, determines their analysis range, and calculates the annual lake area based on land remote sensing satellite images. Then derive the relationship between lake area and altitude, estimate the lake surface altitude, and calculate RLV. After verification and comparison with several existing datasets, it was found that our data is more reliable and comprehensive. Our research provides complete long-term lake water volume change data for the region, which is a supplement to the existing lake dataset.
", "ds_time_res": "年", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "In this study, the calculation of relative lake volume (RLV) was divided into two steps. The first step is to identify individual lakes, determine their analysis range, and calculate the annual lake area based on land remote sensing satellite images. The second step is to derive the relationship between lake area and altitude, estimate the elevation of the lake surface, and calculate the changes in lake water volume. The specific steps of the first step include three sub steps: lake identification, lake analysis scope and seed determination, water area classification and segmentation, and annual lake area calculation. The second step can be divided into deriving the lake area elevation relationship and calculating the lake RLV.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "青藏高原", "湖泊面积", "湖泊水量" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "王君櫹", "email": "wangjunxiao@nufe.edu.cn", "work_for": "南京财经大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王君櫹", "email": "wangjunxiao@nufe.edu.cn", "work_for": "南京财经大学", "country": "中国" } ], "ds_managers": [ { "true_name": "王君櫹", "email": "wangjunxiao@nufe.edu.cn", "work_for": "南京财经大学", "country": "中国" } ], "category": "水文" }