本数据反映的是2010年中亚五国范围内的湖泊和河流水系分布情况，数据共有15358个河流湖泊面状矢量，属性表中包含所用TM数据源信息、湖泊或河流的面积、长度、中心点坐标等；投影坐标为GCS_WGS_1984，比例尺1：25万。
", "ds_source": "2006、2007、2009和2010年每年丰水期7月、8月、9月、10月的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，水体提取公式：TM2+TM3-TM4-TM5，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。
", "ds_quality": "数据采集按照矢量化标准执行，严格按照TM数据进行修正。
", "ds_acq_start_time": "2006-09-06 00:00:00", "ds_acq_end_time": "2010-10-31 00:00:00", "ds_acq_place": "哈萨克斯坦；吉尔吉斯坦；塔吉克斯坦；乌兹别克斯坦；土库曼斯坦", "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": 23560014, "ds_files_count": 1, "ds_format": ".shp", "ds_space_res": "1：25万", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "26c93692-28e4-4578-9173-f989ead19a70.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": "2025-04-07 12:34:29", "first_publish_time": null, "last_updated": "2025-05-28 19:01:19", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00333", "license": null, "extra": null, "files_shape": [ { "name": "Lake_CA_2010.rar", "size": 23560014, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "1: 250,000 Lake and River Distribution Data in Central Asia (2010)", "ds_abstract": "This data reflects the distribution of lakes and river systems within the five Central Asian countries in 2010. There are a total of 15358 river and lake area vectors in the data. The attribute table contains the TM data source information used, the area, length, center point coordinates, etc. of the lake or river; the projection coordinates are GCS_WGS_1984, and the scale is 1: 250,000.
", "ds_source": "TM remote sensing data for July, August, September and October during the annual wet periods in 2006, 2007, 2009 and 2010.
", "ds_process_way": "Using ENVI and eCognition software, we select green and near-infrared bands that strongly reflect the water body for superposition calculation. The water body extraction formula is TM2 + TM3-TM4-TM5, superimpose TM data under the generated vector layer, and correct it through manual intervention to produce the final data product.
", "ds_quality": "Data collection is carried out in accordance with vectorization standards and corrected strictly in accordance with TM data.
", "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan", "ds_format": ".shp", "ds_projection": "WGS84", "ds_space_res": "1:250 thousand", "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": [ "河流", "湖泊" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "土库曼斯坦", "吉尔吉斯斯坦", "塔吉克斯坦", "乌兹别克斯坦", "哈萨克斯坦" ], "ds_time_tags": [ 2010 ], "ds_contributors": [ "李均力" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李锦" ], "category": "水文" }