{
    "created": "2020-01-14 07:41:00",
    "updated": "2026-06-15 13:36:52",
    "id": "2a9c8cfd-7ee6-44b4-99fe-9469f8ca92f2",
    "version": null,
    "ds_topic": null,
    "title_cn": "2012年黑河流域逐月1km LAI产品",
    "title_en": "Heihe 1km monthly LAI production in 2012",
    "ds_abstract": "<p>算法首先采用冠层BRDF模型，将冠层反射率表示为LAI/FAPAR、波长、土壤和叶片反射率、聚集指数、入射和观测角度等一系列参数的函数。针对几个关键参数建立了参数表作为反演的输入。然后输入经过预处理的地表反射率数据和土地覆盖数据，用查找表（LUT）法反演得到LAI产品。详细算法参见参考文献。图像大小：每景1M左右。",
    "ds_source": "<p>地表反射率数据和土地覆盖数据</p>",
    "ds_process_way": "<p>冠层BRDF模型</p>",
    "ds_quality": "<p>数据质量良好</p>",
    "ds_acq_start_time": "2012-01-01 00:00:00",
    "ds_acq_end_time": "2012-12-31 00:00:00",
    "ds_acq_place": "黑河流域",
    "ds_acq_lon_east": 102.155,
    "ds_acq_lat_south": 37.74027777777778,
    "ds_acq_lon_west": 97.31666666666666,
    "ds_acq_lat_north": 42.689166666666665,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 22169052,
    "ds_files_count": 13,
    "ds_format": "Geotiff",
    "ds_space_res": "1000.0m",
    "ds_time_res": "月",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "2a9c8cfd-7ee6-44b4-99fe-9469f8ca92f2.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "文章引用：Liao Y, Fan W, Xu X. Algorithm of Leaf Area Index product for HJ-CCD over Heihe River Basin[C]//Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. 2013: 169–172. 建议参考文献 1.Ganguly S, Nemani R R, Zhang G, Hashimoto H, Milesi C, Michaelis A, Wang W, Votava P, Samanta A, Melton F, Dungan J L, Vermote E, Gao F, Knyazikhin Y, Myneni R B. Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration. Remote Sensing of Environment, 2012, 122: 185–202. 2.Liao, Yanran, Fan, Wenjie, Xu, Xiru. Algorithm of Leaf Area Index product for HJ-CCD over Heihe River Basin. Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, 2013, :169-172. doi:10.1109/IGARSS.2013.6721118 3.Liu, Yuan, Fan, Wenjie, Xu, Xiru, Chen, Gaoxing. A new FAPAR retrieval model for continuous vegetation. Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, 2013, :3052-3055. doi:10.1109/IGARSS.2013.6723470",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "李红星 ",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2021-02-01 11:02:33",
    "last_updated": "2023-08-23 16:45:35",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2021.826",
    "i18n": {
        "en": {
            "title": "Heihe 1km monthly LAI production in 2012",
            "ds_format": "",
            "ds_source": "<p>Surface reflectance data and land cover data</p>",
            "ds_quality": "<p>Good data quality</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>Firstly, canopy BRDF model is used to express canopy reflectance as a function of Lai / fAPAR, wavelength, soil and leaf reflectance, aggregation index, incidence and observation angle. For several key parameters, a parameter table is established as the input of inversion. Then input the preprocessed surface reflectance data and land cover data, and use LUT method to get Lai products. The detailed algorithm can be found in references. Image size: about 1m per scene.</p>",
            "ds_time_res": "月",
            "ds_acq_place": "Heihe River Basin",
            "ds_space_res": "1000.0m",
            "ds_projection": "",
            "ds_process_way": "<p>Canopy BRDF model</p>",
            "ds_ref_instruction": "                    "
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "BRDF",
        "LAI",
        "土壤和叶片反射率",
        "冠层BRDF模型",
        "叶面积指数"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河全流域",
        "黑河流域"
    ],
    "ds_time_tags": [
        2012
    ],
    "ds_contributors": [
        {
            "true_name": "范闻捷",
            "email": "fanwj@pku.edu.cn",
            "work_for": "北京大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "范闻捷",
            "email": "fanwj@pku.edu.cn",
            "work_for": "北京大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "范闻捷",
            "email": "fanwj@pku.edu.cn",
            "work_for": "北京大学",
            "country": "中国"
        }
    ],
    "category": "生态"
}