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监测的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。 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。SPOT Vegetation（VGT）数据从比利时VITO研究所的植被数据网站(http://free.vgt.vito.be)下载，包含以下内容：
\n\nSpot Vegeation NDVI数据和4个波段数据，10天最大化合成，空间分辨率为1km，有效时间为1998-2008年，数据命名规范为覆盖范围+产品类型+Year+Month+Day。
\n\nSpot Vegetation BRDF数据，10天最大化合成，空间分辨率为8km，有效时间为2001-2008年，数据命名规范为覆盖范围+产品类型+Year+Month+Day。
\n\nSpot Vegetation NPP数据，10天最大化合成，空间分辨率为8km，有效时间为1998-2006年，数据命名规范为“HeiHe_NPP_VGT”+[1或2]+[年+月+日]。
", "ds_source": "Spot Vegeation NDVI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": "1998-04-01 00:00:00", "ds_acq_end_time": "2008-12-31 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 104.19972222222222, "ds_acq_lat_south": 37.7, "ds_acq_lon_west": 96.01666666666667, "ds_acq_lat_north": 43.25, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 178550732, "ds_files_count": 3, "ds_format": "栅格", "ds_space_res": "8000.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "3a09dc65-8e83-48ce-b4db-6ccfb466d18b.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": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "westdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2020-12-22 10:41:53", "last_updated": "2023-08-23 16:46:35", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.565", "i18n": { "en": { "title": "Long-term SPOT_Vegetation vegetation dataset in the Heihe River Basin", "ds_format": "Raster", "ds_source": "Spot Veging NDVI data
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "VEGETATION sensor sponsored by the European Commission was launched by SPOT-4 in March 1998. Since April 1998, it has received SPOTVGT data for global vegetation coverage monitoring. This data is received by Kiruna ground station in Sweden. The image quality monitoring center in Toulouse, France is responsible for image quality and provides relevant parameters (such as calibration coefficient), The VEGETATION Image Processing Centre (CTIV) of the Flemish Institute for Technical Research (Vito) in Belgium is ultimately responsible for preprocessing the daily 1km global data. Pre processing includes atmospheric correction, radiation correction, geometric correction, and production of 10 day maximum synthesized NDVI data, with values ranging from -1 to -0.1 set to -0.1, and then converted to DN values ranging from 0 to 250 using the formula DN=(NDVI+0.1)/0.004. This dataset is extracted from a subset of China and contains spectra of four bands synthesized every 10 days. SPOT Vegetation (VGT) data from the vegetation data website of the VITO Institute in Belgium（ http://free.vgt.vito.be ）Download, including the following content:
\nSpot Vegetation NDVI data and 4 band data, synthesized at maximum in 10 days, with a spatial resolution of 1km and an effective time of 1998-2008. The data naming convention is coverage range+product type+Year+Month+Day
\nSpot Vegetation BRDF data, synthesized at a maximum of 10 days, with a spatial resolution of 8km and an effective time from 2001 to 2008. The data naming convention is coverage+product type+Year+Month+Day
\nSpot Vegetation NPP data, synthesized at a maximum of 10 days, with a spatial resolution of 8km and an effective time of 1998-2006. The data naming convention is \"HeiHe NPP_VGT\"+[1 or 2]+[year+month+day]
", "ds_time_res": "", "ds_acq_place": "Heihe River Basin", "ds_space_res": "8000.0m", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_process_way": "Pre processing includes atmospheric correction, radiation correction, geometric correction, and production of 10 day maximum synthesized NDVI data, with values ranging from -1 to -0.1 set to -0.1, and then converted to DN values ranging from 0 to 250 using the formula DN=(NDVI+0.1)/0.004
", "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": [ "Vegetation", "遥感影像", "VGT", "Spot" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域" ], "ds_time_tags": [ 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 ], "ds_contributors": [ { "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": [ { "true_name": "胡宁科", "email": "changsheng0909@126.com", "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": "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" } ], "category": "遥感及产品" }