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。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。
\n\n该数据集是中国子集提取,包含每10天合成的四个波段的光谱反射率及10天最大化NDVI,为1998－2007年数据,空间分辨率为1km，时间分辨率为逐旬。
\n\n文件格式:
\n\n.hfr和.img文件各一个。
\n\n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。
\n\n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。
\n\n坐标系及投影
\n\nPlate_Carree (Lon/Lat)
\n\nPROJ_CENTER_LON 0.000000
\n\nPROJ_CENTER_LAT 0.000000
\n\nPIXEL_SIZE_UNITS DEGREES/PIXEL
\n\nPIXEL_SIZE_X 0.0089285714
\n\nPIXEL_SIZE_Y 0.0089285714
\n\nSEMI_AXIS_MAJ 6378137.000000
\n\nSEMI_AXIS_MIN 6356752.314000
\n\nUL_LON (DEG) 73.000000
\n\nUL_LAT (DEG) 54.000000
\n\nLR_LON (DEG) 135.500000
\n\nLR_LAT (DEG) 5.000000
\n\n角点坐标分别为：
\n\nCorner Coordinates:
\n\nUpper Left ( 69.9955357, 55.0044643)
\n\nLower Left ( 69.9955357, 14.9955358)
\n\nUpper Right ( 137.0044641, 55.0044643)
\n\nLower Right ( 137.0044641, 14.9955358)
\n\n其中Upper Left 为左上角，Lower Left 为左下角，Upper Right 为右上角，Lower Right 为右下角。
", "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": "数据质量良好
", "ds_acq_start_time": "1998-04-02 00:00:00", "ds_acq_end_time": "2008-07-21 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 135.5, "ds_acq_lat_south": 17.8, "ds_acq_lon_west": 73.2, "ds_acq_lat_north": 53.86666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 19932979, "ds_files_count": 3, "ds_format": "栅格", "ds_space_res": "1000.0m", "ds_time_res": "逐旬", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs", "ds_thumbnail": "da25cd50-b7bf-4c1a-a7a8-83df62d0f294.png", "ds_thumb_from": 0, "ds_ref_way": "Greet JANSSENS, 马明国，中国地区长时间序列SPOT_Vegetation植被指数数据集，国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn/)，2019，doi：10.12072/ncdc.westdc.db3895.2023", "paper_ref_way": null, "ds_ref_instruction": null, "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967287", "ds_serv_mail": "westdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-04-08 14:38:08", "last_updated": "2023-08-23 16:06:26", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.670", "i18n": { "en": { "title": "Long term vegetation index dataset of China――SPOT VEGETATION NDVI ", "ds_format": "", "ds_source": "The vegetation sensor, sponsored by the European Commission, was launched by SPOT-4 in March 1998, and received the spotvgt data for global vegetation coverage observation from April 1998. The data was received by Kiruna ground station in Sweden, and the image quality monitoring center in Toulouse, France, was responsible for image quality and provided relevant parameters (such as calibration coefficient). Finally, Billy At that time, the vegetation processing center (ctiv) of Flemish Institute for technical research (Vito) is responsible for preprocessing the data into 1km global data day by day.
", "ds_quality": "Good data quality
", "ds_ref_way": "\nWhen using spot vgt-ndvi data, users must clearly indicate the data source on the prominent position of relevant achievements. We suggest: \"source for this dataset was the Vito (Flemish Inst
", "ds_abstract": "The vegetation sensor, sponsored by the European Commission, was launched by SPOT-4 in March 1998, and received the spotvgt data for global vegetation coverage observation from April 1998. The data was received by Kiruna ground station in Sweden, and the image quality monitoring center in Toulouse, France, was responsible for image quality and provided relevant parameters (such as calibration coefficient). Finally, Billy At that time, the vegetation processing center (ctiv) of Flemish Institute for technical research (Vito) is responsible for preprocessing the data into 1km global data day by day. Preprocessing includes atmospheric correction, radiation correction, geometric correction, and 10 day production to maximize the synthesized NDVI data, and set the value of - 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.
\nThe dataset is a subset of China, which contains the spectral reflectance of four bands synthesized every 10 days and the 10 day maximum NDVI. It is the data of 1998-2007, with a spatial resolution of 1km and a temporal resolution of ten days.
\nFile format:
\n. HFR and. Img files.
\nThe file naming rule is: CHN ﹣ NDV ﹣ yyyymmdd, where yyyymmdd is the date of the day that the file represents, and is also the main identification different from other files.
\nRemote sensing image files with suffixes of. Img and. HDF used by users to analyze vegetation index can be opened in ENVI and ERDAS software.
\nCoordinate system and projection
\nPlate_Carree (Lon/Lat)
\nPROJ_CENTER_LON 0.000000
\nPROJ_CENTER_LAT 0.000000
\nPIXEL_SIZE_UNITS DEGREES/PIXEL
\nPIXEL_SIZE_X 0.0089285714
\nPIXEL_SIZE_Y 0.0089285714
\nSEMI_AXIS_MAJ 6378137.000000
\nSEMI_AXIS_MIN 6356752.314000
\nUL_LON (DEG) 73.000000
\nUL_LAT (DEG) 54.000000
\nLR_LON (DEG) 135.500000
\nLR_LAT (DEG) 5.000000
\nThe coordinates of corner points are as follows:
\nCorner Coordinates:
\nUpper Left ( 69.9955357, 55.0044643)
\nLower Left ( 69.9955357, 14.9955358)
\nUpper Right ( 137.0044641, 55.0044643)
\nLower Right ( 137.0044641, 14.9955358)
\nWhere upper left is the upper left corner, lower left is the lower left corner, upper right is the upper right corner, and lower right is the lower right corner.
", "ds_time_res": "逐旬", "ds_acq_place": "", "ds_space_res": "1000.0m", "ds_projection": "", "ds_process_way": "Preprocessing includes atmospheric correction, radiometric correction, geometric correction, and 10 day production to maximize the synthesized NDVI data, and set the value of - 1 to - 0.1 to - 0.1, and then convert to the DN value of 0-250 through the formula DN = (NDVI + 0.1) / 0.004.
", "ds_ref_instruction": "\nIn 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": [ "SPOTVGT", "植被指数", "Vegetation", "Spot Vegetation", "NDVI" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007 ], "ds_contributors": [ { "true_name": "Greet JANSSENS", "email": "ctiv@vgt.vito.be", "work_for": "VITO", "country": "中国" }, { "true_name": "马明国", "email": "mmg@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": [], "ds_managers": [ { "true_name": "马明国", "email": "mmg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "Greet JANSSENS", "email": "ctiv@vgt.vito.be", "work_for": "VITO", "country": "中国" } ], "category": "遥感及产品" }