该数据包含了祁连山从1982年至2020年的NDVI栅格数据集，地理坐标系WGS_1984,投影坐标系Albers。长时间序列的 NDVI 数据有助于对地表特征、植被覆盖情况进行长期监测。", "ds_source": "
研究选用GIMMS NDVI数据与MODIS NDVI数据，其中 GIMMS NDVI 数据选用GIMMS NDVI V1版本，时间范围为1982—2015年，空间分辨率约为8 km，数据从Ecocast 网站(https:/lecocast.arc.nasa.gov/data/pub/gimms）获取。2000—2020年选取美国地质勘探局（http://lpdaac.usgs.gov）提供的MODIS NDVI (MOD13A1)，产品的时间分辨率为16d，空间分辨率为1km。", "ds_process_way": "
研究选用GIMMS NDVI数据与MODIS NDVI数据，其中 GIMMS NDVI数据选用GIMMS NDVI V1版本，时间范围为1982—2015年，空间分辨率约为8 km，数据从Ecocast 网站（https://ecocast.arc.nasa.gov/data/pub/gimms）获取。由于数据分辨率是十五天，采用最大合成法（MVC)获取逐年NDVI 数据。2000—2020年选取美国地质勘探局（http:/lpdaac.usgs.gov）提供的MODIS NDVI (MOD13A1)，产品的时间分辨率为16d，空间分辨率为1 km。原始数据通过MRT 工具进行预处理后采用最大值合成法获得研究区年NDVI最大值。为保证两类数据的一致性，选取两类数据重叠月份数据利用时空稳定度分析与统计降尺度进行校验（Lin et al., 2020)，结合格式转换、重采样等预处理，获得1982—2020年祁连山国家公园空间分辨率为1 km的长时间序列NDVI数据。", "ds_quality": "
严格遵循相关技术规定和标准进行数据加工，操作规范，数据完整性，逻辑一致性，精度高，质量较好。", "ds_acq_start_time": "1982-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "祁连山", "ds_acq_lon_east": 102.98555555555555, "ds_acq_lat_south": 36.77916666666667, "ds_acq_lon_west": 94.81888888888888, "ds_acq_lat_north": 39.78472222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 4942031, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c8911e2a-3b13-412f-af85-c462c755a401.png", "ds_thumb_from": 0, "ds_ref_way": "王让会，祁连山国家公园NDVI数据集（1982-2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2741.2023", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2741.2023", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2023-02-28 15:59:18", "last_updated": "2023-03-01 10:50:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2741.2023", "i18n": { "en": { "title": "NDVI data set of Qilian Mountain National Park (1982-2020)", "ds_format": "", "ds_source": "
The GIMMS NDVI data and MODIS NDVI data are selected for the study. The GIMMS NDVI data is the GIMMS NDVI V1 version, with a time range of 1982 to 2015 and a spatial resolution of about 8 km. The data is obtained from the Ecocast website (https:/ecocast. arc. nasa. gov/data/pub/gms). From 2000 to 2020, USGS was selected（ http://lpdaac.usgs.gov ）The provided MODIS NDVI (MOD13A1) has a temporal resolution of 16d and a spatial resolution of 1km.", "ds_quality": "
Strictly follow relevant technical regulations and standards for data processing, operation specifications, data integrity, logic consistency, high accuracy and good quality.", "ds_ref_way": "", "ds_abstract": "
This data includes the NDVI grid data set of Qilian Mountains from 1982 to 2020, and the geographic coordinate system WGS_ 1984, projection coordinate system Albert. The NDVI data of long time series is helpful for long-term monitoring of surface characteristics and vegetation coverage.
", "ds_time_res": "日", "ds_acq_place": "Qilian Mountains", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The GIMMS NDVI data and MODIS NDVI data are selected for the study. The GIMMS NDVI data is selected from the GIMMS NDVI V1 version, with a time range of 1982 to 2015, and a spatial resolution of about 8 km. The data is from the Ecocast website（ https://ecocast.arc.nasa.gov/data/pub/gimms ）Get. Since the data resolution is 15 days, the maximum composite method (MVC) is used to obtain the annual NDVI data. From 2000 to 2020, the MODIS NDVI (MOD13A1) provided by the United States Geological Survey (http://lpdaac. usgs. gov) was selected. The time resolution of the product was 16d and the spatial resolution was 1km. The annual NDVI maximum of the study area is obtained by using the maximum synthesis method after the original data is pretreated by the MRT tool. In order to ensure the consistency of the two types of data, the monthly data of the two types of overlapping data were selected for verification by using the spatial-temporal stability analysis and statistical downscaling (Lin et al., 2020), combined with the format conversion, resampling and other preprocessing, to obtain the long time series NDVI data of the Qilian Mountain National Park with a spatial resolution of 1 km from 1982 to 2020.", "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": [ "祁连山", "NDVI", "长期监测" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山" ], "ds_time_tags": [ 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "周钧", "email": "2754137507@qq.com", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_managers": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "category": "遥感及产品" }