植被叶面积指数（leaf area index,LAI）也称叶面积系数，可表征植被对光线的吸收和拦截以及植被生长状况，通常被定义为单位面积内所含的植被叶片表面积之和。因该指数可反映研究区内植被叶片的疏密程度及植被的生长状况，所以精确获取LAI显得极为重要。在LAI的获取过程中，遥感信息技术因其可实时动态有效监测植被特征且作业周期短等显著优势而被广泛应用，该技术为植被生化参数的有效研究奠定了基础。", "ds_source": "
数据来源于NASA官网(https://ladsweb.modaps.eosdis.nasa.gov)", "ds_process_way": "
（1）试运行MRT工具，生成MCD15A2 LAI数据拼接和投影转换的prm文件,空间分辨率为500m；\n
\n（2）利用MATLAB 语言程序生成调用MRT工具的批处理文件，并运行；\n
\n（3）利用泾河流域矢量边界，采用Python批量裁剪等步骤，以tif格式存储。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2002-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "泾河流域,甘肃省,陕西省,宁夏回族自治区", "ds_acq_lon_east": 108.86583333333333, "ds_acq_lat_south": 34.65, "ds_acq_lon_west": 106.19166666666668, "ds_acq_lat_north": 37.39888888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 332610986, "ds_files_count": 32257, "ds_format": "tif", "ds_space_res": "500米", "ds_time_res": "8天", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "fa9708c7-4e11-4416-926a-33bae24384b7.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "bf1ae243-c102-4b2d-a2f6-b698468f4401", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.JRiver.db1985.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-08 10:19:47", "last_updated": "2025-06-30 15:52:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.JRiver.db1985.2022", "i18n": { "en": { "title": "Mcd15a2 leaf area index LAI in Jinghe River Basin (2002-2021)", "ds_format": "tif", "ds_source": "
Data from NASA official website（ https://ladsweb.modaps.eosdis.nasa.gov )", "ds_quality": "
Good data quality.", "ds_ref_way": "", "ds_abstract": "
Vegetation leaf area index (LAI), also known as leaf area coefficient, can characterize the absorption and interception of light by vegetation and the growth of vegetation. It is usually defined as the sum of vegetation leaf surface area contained in unit area. Because this index can reflect the density of vegetation leaves and the growth status of vegetation in the study area, it is very important to accurately obtain Lai. In the acquisition process of Lai, remote sensing information technology is widely used because of its significant advantages such as real-time dynamic and effective monitoring of vegetation characteristics and short operation cycle. This technology lays a foundation for the effective study of vegetation biochemical parameters.
", "ds_time_res": "8天", "ds_acq_place": "Jinghe River Basin, Gansu Province, Shaanxi Province, Ningxia Hui Autonomous Region", "ds_space_res": "500米", "ds_projection": "", "ds_process_way": "(1) Test run the MRT tool to generate the PRM file of mcd15a2 Lai data splicing and projection conversion, with a spatial resolution of 500m;\n
\n(2) Using MATLAB language program to generate batch file calling MRT tool and run it;\n
\n(3) Using the vector boundary of Jinghe River Basin, python batch cutting and other steps are used to store in TIF format.", "ds_ref_instruction": "When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the References section." } }, "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": [ "叶面积指数", "生态遥感", "泾河流域" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "泾河流域", "甘肃省", "陕西省", "宁夏回族自治区" ], "ds_time_tags": [ 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "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" }