{
    "created": "2026-08-25 19:58:56",
    "updated": "2026-08-26 06:26:54",
    "id": "c642cbca-1cf0-487e-85ec-df9eadcee7f6",
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    "title_cn": "2020年中国30米年最大NDVI数据集",
    "title_en": "Xinjiang 1:1 million digital geomorphology map",
    "ds_abstract": "<p>中国科学院地理科学与资源研究所土地利用与全球变化遥感团队，2000-2020年中国30 m年最大NDVI数据集是基于Google Earth Engine云计算平台，利用全年所有Landsat5/7/8遥感数据，通过去云去阴影得到所有的Landsat有效观测数据，然后对每一个Landsat有效观测进行NDVI提取，并结合线性插值以及S-G平滑等方法，最终得到每个像元所在位置在一年中的NDVI最大值。该数据集空间分辨率为30m，时间分辨率为每年。DN*12000/255-2000 就可得到真实VI值。</p>",
    "ds_source": "<p>Landsat5/7/8遥感数据</p>",
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    "ds_space_res": "30m",
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    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
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    "subject_codes": [
        "170.45"
    ],
    "quality_level": 1,
    "publish_time": "2026-08-26 13:33:50",
    "first_publish_time": null,
    "last_updated": "2026-08-26 13:33:50",
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    "protected_to": null,
    "lang": "zh",
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            "name": "2020年中国30米年最大NDVI数据集.tif",
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        "en": {
            "title": "Xinjiang 1:1 million digital geomorphology map",
            "ds_abstract": "The Land Use and Global Change Remote Sensing Team of the Institute of Geographical Sciences and Resources, China, the largest 30m NDVI dataset in China from 2000 to 2020 is based on the Google Earth Engine cloud computing platform. It uses all Landsat5/7/8 remote sensing data throughout the year to obtain all effective Landsat observation data by removing clouds and shadowing, and then extracts NDVI for each effective Landsat observation, and combines linear interpolation and S-G smoothing and other methods. Finally, the NDVI maximum value of each pixel location in a year is obtained. The dataset has a spatial resolution of 30m and a temporal resolution of one year. DN*12000/255-2000 can get the true VI value.",
            "ds_source": "Landsat5/7/8 remote sensing data",
            "ds_process_way": "",
            "ds_quality": "",
            "ds_acq_place": "",
            "ds_ref_instruction": "",
            "ds_ref_way": "",
            "ds_format": "Geotiff format",
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            "ds_time_res": ""
        }
    },
    "license_type": null,
    "doi_reg_from": "reg_local",
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    "doi_not_reg_reason": null,
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    "ds_topic_tags": [
        "NDVI",
        "年最大值"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        2020
    ],
    "ds_contributors": [
        "邵倩影"
    ],
    "ds_meta_authors": [
        "邵倩影"
    ],
    "ds_managers": [
        "赵金"
    ],
    "category": "遥感再分析数据"
}