{
    "created": "2026-09-24 16:49:59",
    "updated": "2026-09-30 11:39:48",
    "id": "f832db1b-aa72-4214-ae8c-0e78e30ce512",
    "version": 5,
    "ds_topic": null,
    "title_cn": "新疆地表反射率8天合成数据（2000-2018年）",
    "title_en": "Eight-day composite data of surface reflectance in Xinjiang (2000-2018)",
    "ds_abstract": "<p>本数据集包含覆盖新疆及其周边缓冲区的地表反射率8天合成栅格序列，空间分辨率为 500 m，时间范围为 2000—2018年。数据包含 MOD09A1 第1—7波段：B1红波段（620–670 nm）、B2近红外（841–876 nm）、B3蓝（459–479 nm）、B4绿（545–565 nm）、B5短波红外1（1230–1250 nm）、B6短波红外2（1628–1652 nm）、B7短波红外3（2105–2155 nm）。原始图像为 MODIS Sinusoidal 投影，经处理后统一为WGS84 经纬度（EPSG:4326）\n数据目录组织：包含四个数据目录：origin目录下是原始hdf格式的分幅文件，origintif目录下是tif格式数据文件，由hdf格式文件转换格式后获得，每个分幅包含13个子数据集，每个子数据集存为单独的tif格式文件；mos目录下是拼接数据文件，由红、近红、蓝、绿四个波段的分幅数据拼接而成；rgb目录下是彩色合成数据文件，采用近红、红、绿三个波段合成，突出植被信息。\n本数据适用于新疆植被指数（NDVI/EVI）、水体指数（NDWI/MNDWI）、裸土与城镇指数等遥感指数提取，还可用于雪盖识别、干旱与荒漠化监测、绿洲—荒漠过渡带物候分析、生态系统质量评估以及长时间序列土地覆盖与生态参量反演。</p>",
    "ds_source": "<p>以 NASA MODIS/Terra MOD09A1（MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid） 为数据源</p>",
    "ds_process_way": "<p>以 NASA MODIS/Terra MOD09A1（MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid） 为数据源，经过格式转换、投影转换、波段提取、分幅拼接、彩色合成处理。</p>",
    "ds_quality": "",
    "ds_acq_start_time": "2000-04-06 00:00:00",
    "ds_acq_end_time": "2018-12-31 00:00:00",
    "ds_acq_place": "新疆",
    "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": 2254622605679,
    "ds_files_count": 47948,
    "ds_format": "hdf, tif格式",
    "ds_space_res": "500",
    "ds_time_res": "8天",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "f832db1b-aa72-4214-ae8c-0e78e30ce512.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": [
        "170.40"
    ],
    "quality_level": 1,
    "publish_time": "2026-09-30 16:53:38",
    "first_publish_time": null,
    "last_updated": "2026-09-30 16:53:38",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "imgdata",
            "size": null,
            "is_dir": true
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Eight-day composite data of surface reflectance in Xinjiang (2000-2018)",
            "ds_abstract": "This dataset contains an 8-day synthetic grid sequence of surface reflectance covering Xinjiang and surrounding buffer zones, with a spatial resolution of 500 m and a time range from 2000 to 2018. The data includes MOD09A1 bands 1-7: B1 red band (620 - 670 nm), B2 near infrared (841 - 876 nm), B3 blue (459 - 479 nm), B4 green (545 - 565 nm), B5 shortwave infrared 1 (1230 - 1250 nm), B6 shortwave infrared 2 (1628 - 1652 nm), B7 shortwave infrared 3 (2105 - 2155 nm). The original image is a MODIS Sinusoidal projection, which is processed and unified to WGS84 latitude and longitude (EPSG:4326)\r\nCatalog organization of data: Contains four data catalogs: Under the origin directory are framed files in the original hdf format, and under the origintif directory are data files in the tif format, which are obtained after the format is converted from the hdf format file. Each framed contains 13 sub-data sets, and each sub-data set is stored as a separate tif format file; under the mos directory is a spliced data file, which is composed of framed data from the four bands of red, near red, blue and green; under the rgb directory is a color composite data file, which is synthesized using the three bands of near red, red and green to highlight vegetation information.\r\nThis data is suitable for extracting remote sensing indices such as Xinjiang vegetation index (NDVI/EVI), water body index (NDWI/MNDWI), bare soil and urban index, etc., and can also be used for snow cover identification, drought and desertification monitoring, oasis-desert transition zone phenology analysis, ecosystem quality assessment, and long-time series land cover and ecological parameter inversion.",
            "ds_source": "Using NASA MODIS/Terra MOD09A1 (MODIS/Terra Surface Reflection 8-Day L3 Global 500m SIN Grid) as data source",
            "ds_process_way": "Taking NASA MODIS/Terra MOD09A1 (MODIS/Terra Surface Reflective 8-Day L3 Global 500m SIN Grid) as the data source, it is processed through format conversion, projection conversion, band extraction, frame splicing, and color synthesis.",
            "ds_quality": "",
            "ds_acq_place": "",
            "ds_ref_instruction": "",
            "ds_ref_way": "",
            "ds_format": "",
            "ds_projection": "",
            "ds_space_res": "",
            "ds_time_res": ""
        }
    },
    "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": [
        "新疆",
        "MODIS",
        "地表反射率"
    ],
    "ds_subject_tags": [
        "地图学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018
    ],
    "ds_contributors": [
        "方晖"
    ],
    "ds_meta_authors": [
        "方晖"
    ],
    "ds_managers": [
        "方晖"
    ],
    "category": "中分辨率成像光谱仪"
}