本数据包括新疆湖泊和河流要素，采用Albers等面积割圆锥投影，以2010年度TM遥感影像，利用ENVI、eCognition软件分类提取湖泊和河流要素，生成新疆湖泊与河流分布数据。数据属性信息见本数据文档。该数据可作为调查新疆地区湖泊和河流分布概况提供科学数据支持。
", "ds_source": "2010年度TM遥感数据。
", "ds_process_way": "利用ENVI、eCognition软件，通过选取对水体反映强烈的绿波段和近红外波段进行叠加计算，在生成的矢量层下叠加TM数据，通过人工干预修正，生产最后的数据产品。\n1. 波段选取，选取对水体反映强烈的绿波段和近红外波段；\n2. 波段计算，水体提取公式：TM2+TM3-TM4-TM5\n3. 矢量叠加，在生成的矢量层下叠加TM数据，进行人工干预修正。
", "ds_quality": "数据采集按照矢量化标准执行，参照google earth高精度数据进行修正。
", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2013-12-31 00:00:00", "ds_acq_place": "", "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": 881000, "ds_files_count": 1, "ds_format": ".shp格式", "ds_space_res": "无", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "7ac0a1a5-3d6c-46d9-aa1e-3114fa8470f8.png", "ds_thumb_from": 2, "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": "2025-05-14 19:51:40", "first_publish_time": null, "last_updated": "2025-05-28 18:58:28", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00608", "license": null, "extra": null, "files_shape": [ { "name": "新疆1_25万湖泊与河流分布数据（2000年）_数据实体.rar", "size": 881000, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "1: 250,000 Lake and River Distribution Data in Xinjiang (2000)", "ds_abstract": "This data includes Xinjiang lakes and river elements. Albers equal-area cut cone projection is used, using 2010 TM remote sensing images, and using ENVI and eCognition software to classify and extract lake and river elements to generate Xinjiang lakes and river distribution data. See this data document for data attribute information. This data can be used to provide scientific data support for investigating the distribution of lakes and rivers in Xinjiang.
", "ds_source": "2010 TM remote sensing data.
", "ds_process_way": "Using ENVI and eCognition software, we select green bands and near-infrared bands that strongly reflect the water body for superposition calculation, superimpose TM data under the generated vector layer, and use manual intervention to correct it to produce the final data product.\n1. Band selection, selecting green bands and near-infrared bands that strongly reflect the water body;\n2. Band calculation, water extraction formula: TM2 + TM3-TM4-TM5\n3. Vector stacking, superpose TM data under the generated vector layer for manual intervention correction.
", "ds_quality": "Data collection is carried out in accordance with vectorization standards and corrected with reference to high-precision data from google earth.
", "ds_format": ".shp format", "ds_projection": "WGS84", "ds_space_res": "no", "ds_time_res": "no" } }, "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", "河流" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆" ], "ds_time_tags": [ 2000 ], "ds_contributors": [ "李均力" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李锦" ], "category": "水文" }