{
    "created": "2023-12-11 11:59:52",
    "updated": "2026-04-28 12:58:19",
    "id": "2153459e-3a3e-41bf-8518-c68c1fde3a23",
    "version": 3,
    "ds_topic": null,
    "title_cn": "甘肃省森林地上生物量数据集",
    "title_en": "Forest aboveground biomass dataset in Gansu Province",
    "ds_abstract": "<p>&emsp;&emsp;森林是固碳量最大的植被生态系统，森林地上生物量是衡量植被生态系统生产力和碳循环的关键参数，实现精准估算对揭示生态系统物质循环及全球气候变化至关重要。该数据集为甘肃省森林地上生物量估计数据，空间分辨率为0.01°。",
    "ds_source": "<p>&emsp;&emsp;该数据集来源于：http://www.glass.umd.edu/Download.html。",
    "ds_process_way": "<p>&emsp;&emsp;使用多个数据源，利用机器学习技术，提高了森林地上生物量估计值。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "甘肃省",
    "ds_acq_lon_east": 108.7075,
    "ds_acq_lat_south": 32.596111111111114,
    "ds_acq_lon_west": 92.33777777777777,
    "ds_acq_lat_north": 42.79333333333333,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 6873135,
    "ds_files_count": 6,
    "ds_format": "tif",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "2153459e-3a3e-41bf-8518-c68c1fde3a23.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "526ff655-4cd4-4650-bb86-6fd3481dfb65",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2023-12-27 09:24:49",
    "last_updated": "2025-06-30 16:29:50",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.GSEER.DB4132.2023",
    "i18n": {
        "en": {
            "title": "Forest aboveground biomass dataset in Gansu Province",
            "ds_format": "tif",
            "ds_source": "<p>&emsp; &emsp; This dataset is sourced from: http://www.glass.umd.edu/Download.html .",
            "ds_quality": "<p>&emsp; &emsp; The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p>    Forests are the vegetation ecosystems with the highest carbon sequestration capacity, and the aboveground biomass of forests is a key parameter for measuring the productivity and carbon cycle of vegetation ecosystems. Accurate estimation is crucial for revealing the material cycle of ecosystems and global climate change. This dataset is an estimation data of forest aboveground biomass in Gansu Province, with a spatial resolution of 0.01 °.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Gansu Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; &emsp; By utilizing multiple data sources and machine learning techniques, the estimation of forest aboveground biomass has been improved.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "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": [
        "甘肃省",
        "森林地上生物量"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "甘肃省"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "张耀南",
            "email": "yaonan@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李红星",
            "email": "lihongxing@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "生态"
}