本数据集是1986-2017年的咸海的湖面矢量数据，共113期，其中1990年、1995年、1997年、2004年、2005年、2012年，6年没有数据，其余年份均有1-10期数据，属性信息中包含影像数据源的轨道号、成图日期和NDWI值。本数据是基于Landsat TM/ETM+/OLI数据提取的湖泊面积信息，空间分辨率30米。
", "ds_source": "原始影像数据来源于美国地质调查局（USGS）的全球可视化浏览器网站（http://glovis.usgs.gov），1986-2017年LandsatTM/ETM+/OLI影像数据矢量化得到，数据分辨率30米，比例尺1：10万。选取的数据满足以下要求：①云覆盖少（云覆盖率<30%）；②阴影较少、色调层次分明；③无噪声。
", "ds_process_way": "基于绿波段与近红外波段的归一化水体指数（NDWI)，采用“全域-局部”自适应迭代的阈值分割方法提取湖泊面积信息。
", "ds_quality": "自动解译的矢量数据在结合目视修正工作后，取得了较高的精度，能够满足研究需求。
", "ds_acq_start_time": "1986-05-01 00:00:00", "ds_acq_end_time": "2017-09-01 00:00:00", "ds_acq_place": "咸海", "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": "apply-access", "ds_total_size": 46197696, "ds_files_count": 1, "ds_format": ".shp", "ds_space_res": "30", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "0cfbd686-ab84-416e-81b8-b8b32f967519.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 1, "publish_time": "2025-03-17 19:03:01", "first_publish_time": null, "last_updated": "2025-05-28 16:39:51", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00319", "license": null, "extra": null, "files_shape": [ { "name": "Data.rar", "size": 46197696, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "1986-2017 Aral Sea Lake Change Data in 2009", "ds_abstract": "This dataset is lake level vector data of the Aral Sea from 1986 to 2017, with a total of 113 periods, including 1990, 1995, 1997, 2004, 2005, and 2012. There are no data for 6 years, and 1-10 periods of data are available for the rest of the years. The attribute information includes the orbit number, mapping date and NDWI value of the image data source. This data is lake area information extracted based on Landsat TM/ETM+/OLI data, with a spatial resolution of 30 meters.
", "ds_source": "The raw image data comes from the U.S. Geological Survey (USGS) Global Visual Browser website (http://glovis.usgs.gov). LandsatTM/ETM+/OLI image data was vectorized from 1986 to 2017. The data resolution is 30 meters and the scale is 1: 100,000. The selected data meets the following requirements: ① Less cloud coverage (cloud coverage rate of 30%);② Less shadows and clear color layers;③ No noise.
", "ds_process_way": "Based on the normalized water index (NDWI) in the green band and near infrared band, a \"whole-local\" adaptive iterative threshold segmentation method is used to extract lake area information.
", "ds_quality": "After combined with visual correction, the automatically interpreted vector data achieves high accuracy and can meet research needs.
", "ds_acq_place": "Aral Sea", "ds_format": ".shp", "ds_projection": "WGS84", "ds_space_res": "30", "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": [ "湖泊", "面积变化" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "咸海" ], "ds_time_tags": [ 1986, 1987, 1988, 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 ], "ds_contributors": [ "黄粤", "刘铁" ], "ds_meta_authors": [ "黄粤" ], "ds_managers": [ "刘铁" ], "category": "水文" }