本数据集收集了塔吉克斯坦范围内的1990年陆地卫星（TM）遥感影像数据，是gz格式的0级原始数据的解压数据，数据来源于USGS网站。塔吉克斯坦覆盖全境的TM数据需要14景，本数据集收集到10景，已覆盖轨道号分别是：149034、150033、150034、151035、152034、153033、153034、154032、154033、154034
", "ds_source": "本数据集为原始下载的gz格式数据文件解压缩之后的目录格式数据，每个解包数据目录下包含14个数据文件，包括7个波段TIF文件、1个波段质量评价TIF文件、4个txt文本文件、1个jpg文件及README.GTF文件。\n陆地卫星项目由美国USGS发起的，目的是提供质量可靠的遥感数据用于研究和应用活动。陆地卫星1，2和3载荷为多光谱（MSS）传感器，陆地卫星4和5载荷为多光谱（MSS）和专题制图仪（TM）两种传感器，陆地卫星7载荷为增强的专题制图仪（ETM+）\n本数据集数据为陆地卫星5号星数据。
", "ds_process_way": "本数据集来源于USGS EarthExplorer 数据网站，主要加工流程包括：\n在USGS EarthExplorer 数据网站输入区域经纬度、时间范围、云量条件，获得区域范围内的数据列表，从数据列表中通过逐一查看影像缩略图筛选出云量较少质量可靠的卫星影像数据，加入数据篮订购之后由数据网站返回数据地址，借助批量下载工具进行数据下载。数据下载完成后进行数据核查与整编，删除下载不全的无效数据、重复下载的数据，核查已下载数据完整度。
", "ds_quality": "本数据集为陆地卫星5号星Landsat TM传感器数据，可见光波段空间分辨率为30米，热红外波段为120。TM传感器覆盖7个波段（可见光至热红外），TM传感器通过高信噪比设计，支持微弱辐射信号捕捉（如植被覆盖度监测），Landsat系列卫星周期为16天，支持动态环境监测。\n本数据集取自一年中可获得数据中云量最少时相最佳（植被长势最佳）的分幅数据（即一年一期），覆盖塔全境共14景分幅数据，本数据集收集到10景符合区域范围和时间范围的分幅TM数据，数据集完整度为71.4%
", "ds_acq_start_time": "1990-01-01 00:00:00", "ds_acq_end_time": "1990-12-31 00:00:00", "ds_acq_place": "塔吉克斯坦", "ds_acq_lon_east": 67.38695, "ds_acq_lat_south": 36.671944, "ds_acq_lon_west": 75.13695, "ds_acq_lat_north": 41.041943, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 15804966765, "ds_files_count": 434, "ds_format": "栅格数据", "ds_space_res": "15米、30米、60米", "ds_time_res": "16天", "ds_coordinate": "WGS84", "ds_projection": "UTM 43N，UTM 42N", "ds_thumbnail": "ae390580-e7a1-442c-a64a-92e2270c57a2.jpg", "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" ], "quality_level": 1, "publish_time": "2025-04-21 18:44:11", "first_publish_time": null, "last_updated": "2025-04-21 18:44:11", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "license": null, "extra": null, "files_shape": [ { "name": "DataEntity", "size": null, "is_dir": true } ], "features": { "type": "FeatureCollection", "features": [ { "id": "0", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.88970382535042, 41.30612293320825 ], [ 70.11926220242042, 40.97716194856182 ], [ 69.58198711990767, 39.37969823118278 ], [ 67.40719097922175, 39.69649831558771 ], [ 67.41206593936874, 39.71278241487554 ], [ 67.88970382535042, 41.30612293320825 ] ] ] } }, { "id": "1", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.45655219849353, 39.867715718570786 ], [ 69.6375283647636, 39.54997647174564 ], [ 69.12491230148638, 37.946036125138264 ], [ 66.98930126943078, 38.25684553602376 ], [ 67.45655219849353, 39.867715718570786 ] ] ] } }, { "id": "2", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.04291029687411, 38.44519624840654 ], [ 69.18308302357359, 38.1336070650886 ], [ 68.68125399381233, 36.528394829315694 ], [ 66.58317796910784, 36.833651239354104 ], [ 67.04291029687411, 38.44519624840654 ] ] ] } }, { "id": "3", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 76.91300900698972, 38.131148142734595 ], [ 76.65950916154559, 37.328218122783866 ], [ 76.64156251712795, 37.27782973811339 ], [ 76.57593800260913, 37.0682752485353 ], [ 76.55773931028646, 37.00620610478092 ], [ 76.55164557775221, 36.990380428388 ], [ 76.40799922614913, 36.526188605338675 ], [ 74.32105108456007, 36.82978338902807 ], [ 74.7782113318052, 38.44203623796829 ], [ 76.91300900698972, 38.131148142734595 ] ], [ [ 76.90072513990336, 38.092999010377355 ], [ 76.90071216057103, 38.092958678106996 ], [ 76.90072409003187, 38.09295848508417 ], [ 76.90072513990336, 38.092999010377355 ] ], [ [ 76.82094032389183, 37.844144011316324 ], [ 76.8208543924204, 37.84387498032226 ], [ 76.82135181892484, 37.8438672857087 ], [ 76.82135846777078, 37.84413754293356 ], [ 76.82094032389183, 37.844144011316324 ] ], [ [ 76.79630511765792, 37.76692840901269 ], [ 76.79621937570846, 37.76665935212075 ], [ 76.79663720284697, 37.76665298080091 ], [ 76.79664374330576, 37.766923245267364 ], [ 76.79630511765792, 37.76692840901269 ] ], [ [ 76.79356170186517, 37.75831854385348 ], [ 76.79347598098384, 37.758049484083315 ], [ 76.79404506755148, 37.758040819813395 ], [ 76.79405159655275, 37.75831108505995 ], [ 76.79356170186517, 37.75831854385348 ] ] ] } }, { "id": "4", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 75.65813372409578, 39.04140068518715 ], [ 75.29730611724658, 37.93707437350513 ], [ 73.17298259974743, 38.24660330131325 ], [ 73.6416116996983, 39.85705728253545 ], [ 75.81931976349108, 39.53937626861117 ], [ 75.70209594742535, 39.17403926022535 ], [ 75.69825127034835, 39.16198838599366 ], [ 75.65813372409578, 39.04140068518715 ] ] ] } }, { "id": "5", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 75.35800508979972, 38.133204214458715 ], [ 74.86020370918379, 36.52792745607933 ], [ 72.77360633289956, 36.83196405843096 ], [ 73.22817697343297, 38.44371738513806 ], [ 75.35800508979972, 38.133204214458715 ] ] ] } }, { "id": "6", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 73.30228081692032, 36.469954194865835 ], [ 72.88570270673365, 35.09492564027183 ], [ 70.83379839919313, 35.39336739470475 ], [ 71.27020339276594, 37.007526878785136 ], [ 73.36803536773584, 36.702621383076846 ], [ 73.30228081692032, 36.469954194865835 ] ], [ [ 72.90447242912595, 35.15864961238955 ], [ 72.90443945597751, 35.15853774927279 ], [ 72.90447528323146, 35.15853836922455 ], [ 72.90447242912595, 35.15864961238955 ] ] ] } }, { "id": "7", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 72.27630100016601, 38.12858738184375 ], [ 71.77346535441471, 36.52252208056487 ], [ 69.68049721351889, 36.827340619817534 ], [ 70.13811467558453, 38.43996298576428 ], [ 72.27630100016601, 38.12858738184375 ] ] ] } }, { "id": "8", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 69.00906279526704, 39.87555293697333 ], [ 71.19113594812728, 39.55755510934779 ], [ 70.67208846971941, 37.95233457767048 ], [ 68.53974186141825, 38.26262847603694 ], [ 69.00906279526704, 39.87555293697333 ] ] ] } }, { "id": "9", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 68.59183678546992, 38.451268383367825 ], [ 70.7301046605431, 38.139932933691824 ], [ 70.23221420546598, 36.53435454583031 ], [ 68.13490390298583, 36.83966237780193 ], [ 68.59183678546992, 38.451268383367825 ] ] ] } } ] }, "data_level": 0, "i18n": { "en": { "title": "Tajikistan 1990 Landsat Image Dataset", "ds_abstract": "This dataset collects 1990 Landsat (TM) remote sensing image data from Tajikistan. It is decompressed data from level 0 raw data in gz format. The data comes from the USGS website. TM data covering the entire territory of Tajikistan requires 14 scenes. This dataset collects 10 scenes. The covered track numbers are: 149034, 150033, 150034, 151035, 152034, 153033, 153034, 154032, 154033, and 154034
", "ds_source": "This dataset is directory format data after the original downloaded gz format data files are decompressed. Each unpacked data directory contains 14 data files, including 7 band TIF files, 1 band quality evaluation TIF file, 4 txt text files, 1 jpg file and README.GTF file.\nThe Landsat project was initiated by the USGS of the United States to provide reliable quality remote sensing data for research and application activities. Landsat 1, 2 and 3 payloads are multispectral (MSS) sensors, Landsat 4 and 5 payloads are both multispectral (MSS) and thematic mapper (TM) sensors, and Landsat 7 payloads are enhanced thematic mapper (ETM+)\nThe data in this dataset is Landsat 5 data.
", "ds_process_way": "This dataset comes from the USGS EarthExplorer data website. The main processing processes include:\nEnter the regional latitude and longitude, time range, and cloud cover conditions on the USGS EarthExplorer data website to obtain a data list within the region. From the data list, select satellite image data with less cloud cover and reliable quality by viewing image thumbnails one by one, and add it to the data basket. After ordering, the data website returns the data address, and downloads the data with the help of a batch download tool. After the data download is completed, data verification and reorganization will be carried out to delete invalid data that is not fully downloaded and repeatedly downloaded data, and verify the integrity of the downloaded data.
", "ds_quality": "This dataset is Landsat TM sensor data from Landsat 5, with a spatial resolution of 30 meters in the visible light band and 120 meters in the thermal infrared band. The TM sensor covers 7 bands (visible light to thermal infrared). The TM sensor is designed with high signal-to-noise ratio to support the capture of weak radiation signals (such as vegetation coverage monitoring). The Landsat series satellites have a period of 16 days and support dynamic environmental monitoring.\nThis data set is taken from the segmented data (i.e., one period a year) with the lowest cloud cover and the best phase (the best vegetation growth) among the data available during the year. It covers a total of 14 scenes segmented data across the tower. This data set collected 10 scenes segmented TM data that match the regional scope and time range, and the integrity of the data set is 71.4%
", "ds_acq_place": "Tajikistan", "ds_format": "raster data", "ds_projection": "UTM 43N，UTM 42N", "ds_space_res": "15 meters, 30 meters, 60 meters", "ds_time_res": "16 days" } }, "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": [ "塔吉克斯坦", "中亚", "TM", "陆地卫星" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔吉克斯坦" ], "ds_time_tags": [], "ds_contributors": [ "方晖" ], "ds_meta_authors": [ "方晖" ], "ds_managers": [ "方晖" ], "category": "陆地卫星" }