本数据反映了1970年中亚五国及新疆范围的土地利用情况，采用《中国科学院土地利用分类系统》共分耕地，林地，草地，水域，城乡、工矿、居民用地，未利用土地等18个类别。数据以GRID格式存储，空间投影使用WGS_84_Albers直角坐标系，单位米，像元分辨率265米。
", "ds_source": "1970年代Landsat MSS影像。
", "ds_process_way": "首先通过辐射校正消除传感器噪声和大气干扰，利用几何校正配准影像；随后基于多光谱波段（如近红外与红光比值）提取植被指数等光谱特征，结合监督分类（最大似然法）或非监督聚类算法（如K-means）对地物进行粗粒度分类，生成耕地、森林、水体等一级土地利用类型；最后通过滤波消除孤立噪声像元，并基于目视解译和局部实地数据验证分类精度，输出土地利用结果数据。
", "ds_quality": "", "ds_acq_start_time": "1970-01-01 00:00:00", "ds_acq_end_time": "1970-12-31 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": "apply-access", "ds_total_size": 5983328, "ds_files_count": 2, "ds_format": "栅格数据", "ds_space_res": "265米", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "Albers", "ds_thumbnail": "9d1a78cc-d9c4-4d80-8ce1-92f8e488d945.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": "2025-03-26 10:45:10", "first_publish_time": null, "last_updated": "2025-05-28 17:45:56", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00119", "license": null, "extra": null, "files_shape": [ { "name": "1970年中亚五国及新疆范围土地利用与覆被数据集.rar", "size": 5948000, "is_dir": false }, { "name": "中国科学院土地利用分类系统-2011年.doc", "size": 35328, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Land use data of 265 meters across the five Central Asian countries and Xinjiang in 1970", "ds_abstract": "This data reflects the land use situation of the five Central Asian countries and Xinjiang in 1970. Using the Land Use Classification System of China Academy of Sciences, it is divided into 18 categories including cultivated land, forest land, grassland, water, urban and rural, industrial and mining, residential land, and unused land. The data is stored in GRID format, and the spatial projection uses the WGS_84_Albers rectangular coordinate system, unit meter, and pixel resolution of 265 meters.
", "ds_source": "Landsat MSS images from the 1970s.
", "ds_process_way": "First, sensor noise and atmospheric interference are eliminated by radiometric correction, and images are registered by geometric correction; then, based on multispectral bands,(For example, the ratio of near-infrared to red light) extracts spectral features such as vegetation index, combines supervised classification (maximum likelihood method) or unsupervised clustering algorithm (such as K-means) to classify objects with coarse granularity, generates cultivated land, forest, water and other first-class land use types; finally, filters to eliminate isolated noise pixels, and verifies classification accuracy based on visual interpretation and local field data, and outputs land use result data.
", "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan", "ds_format": "raster data", "ds_projection": "Albers", "ds_space_res": "265 meters", "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": [ "土地利用", "土地覆被" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中亚", "新疆" ], "ds_time_tags": [ 1970 ], "ds_contributors": [ "罗格平", "刘铁" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "刘铁" ], "category": "土地利用/土地覆被" }