该数据集为疏勒河长时间序列植被指数数据集是主要针对归一化植被指数（NDVI），包含1998-2008年每10天合成的四个波段的光谱反射率及10天最大化NDVI，空间分辨率为1km，时间分辨率为旬。
\n\n文件格式:.hfr和.img文件各一个。文件命名规则为:CHN_NDV_YYYYMMDD，其中YYYYMMDD就是该文件代表的当天日期，也是区别于其他文件的主要标识。用户用来分析植被指数的后缀名为.IMG和.HDF的遥感影像文件文件，都可以在ENVI和ERDAS软件中打开。
", "ds_source": "由欧洲联盟委员会赞助的VEGETATION传感器于1998年3月由SPOT-4搭载升空，从1998年4月开始接收用于全球植被覆盖观察的 SPOTVGT数据，该数据由瑞典的Kiruna地面站负责接收，由位于法国Toulouse的图像质量监控中心负责图像质量并提供相关参数（如定标系 数），最终由比利时弗莱芒技术研究所（Flemish Institute for Technological Research，Vito）VEGETATION影像处理中心（VEGETATION processing Centre，CTIV）负责预处理成逐日1km 全球数据。
", "ds_process_way": "预处理包括大气校正，辐射校正，几何校正，生产10天最大化合成的NDVI数据，并将-1到-0.1的值设置为-0.1，再通过公式DN= (NDVI+0.1)/0.004转换到0-250的DN值。
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "1998-01-01 00:00:00", "ds_acq_end_time": "2008-12-31 00:00:00", "ds_acq_place": "疏勒河流域", "ds_acq_lon_east": 100.0, "ds_acq_lat_south": 37.86638888888889, "ds_acq_lon_west": 92.0, "ds_acq_lat_north": 43.11638888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 31301738, "ds_files_count": 3, "ds_format": "栅格", "ds_space_res": "1000.0m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "3623bf7e-bdf8-41b8-8154-ef100abf1089.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-01-05 11:01:12", "last_updated": "2023-08-23 16:46:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.326", "i18n": { "en": { "title": "Long term vegetation index dataset of the Shulehe River Basin – SPOT Vegetation", "ds_format": "Raster", "ds_source": "The vegetation sensor, sponsored by the European Commission, was launched by SPOT-4 in March 1998. It has received spotvgt data for global vegetation coverage observation since April 1998. The data is received by Kiruna ground station in Sweden, and the image quality monitoring center in Toulouse in France is responsible for image quality and provides relevant parameters (such as calibration system Finally, the vegetation processing center (ctiv) of Flemish Institute for technological research (Vito) in Belgium is responsible for preprocessing the data into 1km global data day by day.
", "ds_quality": "Data set quality control through strict manual audit
", "ds_ref_way": "", "ds_abstract": "The data set is a long time series vegetation index data set of Shule River. It is mainly aimed at the normalized vegetation index (NDVI), including the spectral reflectance of four bands synthesized every 10 days from 1998 to 2008 and the maximum NDVI of 10 days. The spatial resolution is 1km and the temporal resolution is 10 days.
\nFile format: one. HFR file and one. Img file. The file naming rule is: CHN_ NDV_ Yyyymmdd, in which yyyymmdd is the date of the day represented by the file, and it is also the main identification different from other files. Remote sensing image files with suffixes of. Img and. HDF can be opened in ENVI and ERDAS software.
", "ds_time_res": "年", "ds_acq_place": "Shule River Basin", "ds_space_res": "1000.0m", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_process_way": "Preprocessing includes atmospheric correction, radiometric correction, geometric correction, production of 10 days maximum synthesis of NDVI data, and set the value from - 1 to - 0.1 to - 0.1, and then convert it to the DN value of 0-250 through the formula DN = (NDVI + 0.1) / 0.004.
", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "遥感影像", "NDVI", "植被指数", "SpotVegetaion" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "疏勒河流域", "肃北蒙古自治区、瓜州市、敦煌市、玉门市、阿克塞哈萨克族、肃北蒙古族自治区" ], "ds_time_tags": [ 1998, 2008 ], "ds_contributors": [ { "true_name": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "country": "中国" } ], "ds_managers": [ { "true_name": "康建芳", "email": "kangjf@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": "遥感及产品" }