{
    "created": "2024-09-24 12:15:37",
    "updated": "2026-08-07 23:59:22",
    "id": "5fb9d697-3503-47b7-b5c5-116a90d5d491",
    "version": 6,
    "ds_topic": null,
    "title_cn": "2000、2010年中亚地区MODIS_250米地表温度LST数据集",
    "title_en": "",
    "ds_abstract": "<p>本数据集是2000年和2010年乌兹别克斯坦、吉尔吉斯斯坦、土库曼斯坦、塔吉克斯坦和哈萨克斯坦5个国家范围的地表温度（LST）数据。数据集包含3种：分别是①从2000年和2010年的第97天开始（含第97天的），每16天一个中亚五国范围的地表温度img格式文件，共24个栅格文件；②处理过异常值（地表温度< -100的像元设置为NoData）的数据LST2000_setNull.tif和2010LST_setNull.tif ；③两个年平均地表温度数据2000LST_Clip.img和2010LST_Clip.img格式文件。本数据集是对原始数据经过降尺度处理生成的，空间分辨率为250米，采用Albers投影坐标系。</p>",
    "ds_source": "<p>数据源来自MODIS官方网站下载的2000年和2010年MOD11A2数据，该数据包含8天合成的1公里分辨率地表温度产品。\n1.  2000年第97、113、129、145、161、177、193、209、225、241、257天的MOD11A2数据；\n2.  2010年第97、113、129、145、161、177、193、209、225、241、257天的MOD11A2数据；\n</p>",
    "ds_process_way": "<p>LST数据是从MODIS官方网站下载的MOD11A2数据经过拼接、剪裁、投影变换等流程，分别获得上面指定天数的LST数据，进而得到平均地表温度；并对异常值进行处理，得到对统计结果影响较小的植被指数数据。</p>",
    "ds_quality": "<p>获取的数据需要整理和计算处理才能使用，对研究区范围土要的气象观测数据、MODIS数据进行整理和计算处理,包括空白数据、缺测数据、质量缺陷等,对有问题的数据进行分析,根据情况进行处理，得到精确度高的数据。</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2010-12-31 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": "login-access",
    "ds_total_size": 104286026,
    "ds_files_count": 1,
    "ds_format": "栅格数据",
    "ds_space_res": "250",
    "ds_time_res": "每16天，年",
    "ds_coordinate": "WGS84",
    "ds_projection": "Albers",
    "ds_thumbnail": "5fb9d697-3503-47b7-b5c5-116a90d5d491.png",
    "ds_thumb_from": 0,
    "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": "2025-03-17 20:03:21",
    "first_publish_time": null,
    "last_updated": "2025-03-22 19:25:57",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.00123",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "Data.rar",
            "size": 104286026,
            "is_dir": false
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "2000 and 2010 MODIS_250-meter surface temperature LST data set in Central Asia",
            "ds_abstract": "<p>This dataset is surface temperature (LST) data for five countries: Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan in 2000 and 2010. The dataset contains 3 types: They are: ① Starting from the 97th day of 2000 and 2010 (inclusive), one surface temperature img format file across the five Central Asian countries every 16 days, with a total of 24 raster files;② Data LST2000_setNull.tif and 2010LST_setNull.tif that have been processed with abnormal values (cells with surface temperatures &lt; -100 are set to NoData);③ Two annual average surface temperature data 2000LST_Clip.img and 2010LST_Clip.img format files. This dataset is generated by downscaling the raw data, with a spatial resolution of 250 meters, and adopts the Albers projection coordinate system. </p>",
            "ds_source": "<p>The data source comes from 2000 and 2010 MOD11A2 data downloaded from the MODIS official website. The data contains 8 days of synthetic 1-kilometer resolution surface temperature products.\n1.  MOD11A2 data on Days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, and 257 in 2000;\n2.  MOD11A2 data on Days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, and 257 in 2010;\n</p>",
            "ds_process_way": "<p>The LST data is the MOD11A2 data downloaded from the MODIS official website. After splicing, clipping, projection transformation and other processes, LST data for the specified days are obtained respectively, and then the average surface temperature is obtained; and the abnormal values are processed to obtain vegetation index data with little impact on statistical results. </p>",
            "ds_quality": "<p>The obtained data needs to be sorted out and calculated before it can be used. The meteorological observation data and MODIS data in the study area are sorted out and calculated, including blank data, missing data, quality defects, etc. The problematic data are analyzed and processed according to the situation to obtain high-precision data. </p>",
            "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan",
            "ds_format": "raster data",
            "ds_projection": "Albers",
            "ds_space_res": "250",
            "ds_time_res": "Every 16 days, year"
        }
    },
    "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": [
        "生态",
        "地表温度",
        "LST"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中亚"
    ],
    "ds_time_tags": [
        2000,
        2010
    ],
    "ds_contributors": [
        "陈秋晓",
        "陈曦"
    ],
    "ds_meta_authors": [
        "陈秋晓"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "中分辨率成像光谱仪"
}