本数据集收集了塔吉克斯坦范围内的2005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11景，已覆盖轨道号分别是：149034、151033、151034、151035、152033、152034、153032、153034、154032、154033、154034
", "ds_source": "本数据集为原始下载的gz格式数据文件，每个gz数据中包含14个数据文件和一个gap mask目录，14个数据文件中包含8个波段9个TIF文件（B6包含2个TIF文件）、1个波段质量评价TIF文件、3个txt文本文件及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7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7号星Landsat ETM+传感器数据，传感器包含8个光谱波段，覆盖可见光于热红外范围，空间分辨率为15米（全色波段）、30米（多光谱波段）和60米（热红外波段）。全色波段（PAN）可与多光谱波段融合，提升地物分类精度。相较于前代TM传感器，ETM+在红外波段分辨率提升，全色波段新增15米分辨率，热红外波段分辨率从120米提升至60米。\nETM+采用高增益和低增益两种模式，根据纬度与季节动态调整，避免数据过饱和或过暗。增加全孔径太阳校准器（FASC）和部分孔径太阳校准器（PASC），提升辐射校准精度。\nLandsat系列卫星重访周期为16天，支持动态环境监测。2003年SLC故障导致后续数据存在条带缺失（需结合gap mask修复），但故障前（SLC-on）数据仍为高精度地表研究的重要来源。陆地卫星7号ETM+数据广泛应用于环境监测、灾害评估（如地震后地表变化分析）、农业估产等领域，其多光谱与热红外组合能力至今仍具科研价值。\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11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78.6%
", "ds_acq_start_time": "2005-01-01 00:00:00", "ds_acq_end_time": "2005-12-31 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": 41.041668, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 30169313358, "ds_files_count": 110, "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": "296ee62e-12eb-445d-9bca-e5cd35256e2d.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 18:45:22", "first_publish_time": null, "last_updated": "2025-04-21 18:45:22", "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": [ [ [ 74.8206362538364, 38.442661029043414 ], [ 76.95194817063577, 38.1363660767768 ], [ 76.44346337670248, 36.512775312802844 ], [ 74.35306879614731, 36.80787499795961 ], [ 74.8206362538364, 38.442661029043414 ] ] ] } }, { "id": "1", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 72.12536506211292, 39.87072348736521 ], [ 74.30513231648135, 39.56358708190875 ], [ 73.78059670351867, 37.94075249689444 ], [ 71.64857433193448, 38.24171720983348 ], [ 72.12536506211292, 39.87072348736521 ] ] ] } }, { "id": "2", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 71.71340044039572, 38.44714051502804 ], [ 73.82911848409871, 38.136526662803185 ], [ 73.32621033448716, 36.51373724502589 ], [ 71.25038600684559, 36.81905370983208 ], [ 71.71340044039572, 38.44714051502804 ] ] ] } }, { "id": "3", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 71.30022197704872, 37.00880771677935 ], [ 73.38536002078433, 36.704587612017356 ], [ 72.90180869227585, 35.07836743544382 ], [ 70.84989411368934, 35.37799251685216 ], [ 71.30022197704872, 37.00880771677935 ] ] ] } }, { "id": "4", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 70.60847431779729, 39.876333574385214 ], [ 72.77881201035729, 39.56575641463815 ], [ 72.24857257321693, 37.93502691641708 ], [ 70.12682683236709, 38.24488260071282 ], [ 70.60847431779729, 39.876333574385214 ] ] ] } }, { "id": "5", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 70.1792860269109, 38.44167951229199 ], [ 72.31710556095778, 38.139702884096906 ], [ 71.80818995174981, 36.5128881417895 ], [ 69.72011494356921, 36.808262926821236 ], [ 70.1792860269109, 38.44167951229199 ] ] ] } }, { "id": "6", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 69.48379608165862, 41.30018363723615 ], [ 71.71109412005447, 40.98202464548957 ], [ 71.16549710629324, 39.361584620529676 ], [ 69.0013857217665, 39.675904191667314 ], [ 69.48379608165862, 41.30018363723615 ] ] ] } }, { "id": "7", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 68.64104828686042, 38.437453733759995 ], [ 70.77301920008863, 38.13849672671209 ], [ 70.27096410530348, 36.513258366944676 ], [ 68.17205327244076, 36.81527483026498 ], [ 68.64104828686042, 38.437453733759995 ] ] ] } }, { "id": "8", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.93172347416257, 41.30321957121501 ], [ 70.14926877785484, 40.98401833952309 ], [ 69.6077119226978, 39.3682009384779 ], [ 67.43585125028913, 39.67777163586299 ], [ 67.93172347416257, 41.30321957121501 ] ] ] } }, { "id": "9", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.51101154690653, 39.87524719458217 ], [ 69.67974295137115, 39.55780746301034 ], [ 69.1688901181821, 37.934348541839405 ], [ 67.0405219127792, 38.24839655623461 ], [ 67.51101154690653, 39.87524719458217 ] ] ] } }, { "id": "10", "type": "Feature", "properties": { "FID_1": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 67.09615857319783, 38.44276886894712 ], [ 69.23431219987768, 38.13253082584343 ], [ 68.72142564439146, 36.51857617719904 ], [ 66.63183702226779, 36.81226403540791 ], [ 67.09615857319783, 38.44276886894712 ] ] ] } } ] }, "data_level": 0, "i18n": { "en": { "title": "Tajikistan 2005 Landsat image dataset", "ds_abstract": "This dataset collects 2005 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 11 scenes. The covered track numbers are: 149034, 151033, 151034, 151035, 152033, 152034, 153032, 153034, 154032, 154033, and 154034
", "ds_source": "This dataset is originally downloaded gz format data files. Each gz data contains 14 data files and a gap mask directory. The 14 data files contain 9 TIF files for 8 bands (B6 contains 2 TIF files), 1 band quality evaluation TIF file, 3 txt text files 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 7 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 data from the Landsat ETM+ sensor of Landsat 7. The sensor includes 8 spectral bands, covering the visible light and thermal infrared range, with spatial resolutions of 15 meters (panchromatic band), 30 meters (multispectral band) and 60 meters (thermal infrared band). The panchromatic band (PAN) can be integrated with multi-spectral bands to improve the accuracy of feature classification. Compared with previous generation TM sensors, ETM+ has improved resolution in the infrared band, added 15 meters of resolution in the panchromatic band, and increased resolution in the thermal infrared band from 120 meters to 60 meters.\nETM+ adopts two modes: high gain and low gain, which are dynamically adjusted according to latitude and seasons to avoid over-saturation or dark data. Add a full aperture solar calibrator (FASC) and a partial aperture solar calibrator (PASC) to improve the accuracy of radiation calibration.\nThe Landsat series satellites have a revisit cycle of 16 days and support dynamic environmental monitoring. The SLC failure in 2003 resulted in missing strips in subsequent data (which needed to be repaired in conjunction with gap mask), but pre-failure (SLC-on) data is still an important source for high-precision surface research. Landsat 7 ETM+ data is widely used in environmental monitoring, disaster assessment (such as post-earthquake surface change analysis), agricultural yield assessment and other fields. Its multi-spectral and thermal infrared combination capabilities are still of scientific research value.\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 11 scenes segmented TM data that match the regional scope and time range, and the integrity of the data set is 78.6%
", "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": [ "陆地卫星", "TM", "塔吉克斯坦", "中亚" ], "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" }