土壤含水量是干旱监测的重要指标，而温度植被干旱指数能够通过反演表层土壤水分来监测旱情。本数据集基于MODIS植被指数和地表温度产品，结合SRTM DEM数据，利用NDVI-LST特征空间特性，提取特征空间干湿边，获得2000-2017年“中巴经济走廊”逐月温度植被干旱指数数据集。本数据集空间范围为北纬41°25'24.49\"～23°45'24.49\"，东经60°53'57.97\"～79°52'27.97\"，数据格式为GeoTiff，空间分辨率为1km。数据集由216个数据文件组成，数据文件为月温度植被干旱指数数据，文件名为TVDI.AYYYYDDD.1_km_month.tif。本数据集可以为“中巴经济走廊”干旱灾害监测提供基础数据和科技支撑。
", "ds_source": "本数据集采用数据为MODIS植被指数产品MOD13A3和地表温度产品MOD11A2，SRTM DEM产品以及气象站观测降水数据和土壤湿度数据，其中MODIS数据来源于NASA LP DAAC 数据中心（https://lpdaac.usgs.gov）； 数字高程模型（DEM）数据来源于地理空间数据云（www.csdata.org） 提供的SRTM数据集；降水和土壤湿度数据来源于国家气象数据共享服务平台（https://data.cma.cn） 。
", "ds_process_way": "利用MRT批处理工具对数据进行拼接、投影转换、波段提取和重采样，获取NDVI、地表温度及相关质量控制数据。利用arcgis工具，对DEM数据进行拼接、重采样、裁剪。本数据集生产过程中采用空间重建方法。
", "ds_quality": "与气象站观测降水和土壤湿度数据对比分析表明，该产品与SPI和土壤湿度呈负相关关系，相关性较好。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "中国喀什地区及周边和巴基斯坦", "ds_acq_lon_east": 79.86666666666666, "ds_acq_lat_south": 23.75, "ds_acq_lon_west": 60.86638888888889, "ds_acq_lat_north": 41.416666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 612176773, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "1000.0m", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "34994230-7c93-4d39-8cc3-950f1db2dd7e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "冯克庭", "ds_serv_phone": "0931-4967590", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-11-01 10:56:19", "last_updated": "2023-09-04 11:57:23", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1324", "i18n": { "en": { "title": "Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017)", "ds_format": "tif", "ds_source": "The data used in this data set are MODIS vegetation index product mod13a3 and surface temperature product mod11a2, SRTM DEM products, as well as observation precipitation data and soil moisture data of meteorological stations, among which MODIS data is from NASA LP DAAC data center (https://lpdaac.usgs.gov); digital elevation model (DEM) data is from geospatial data cloud (www.csdata. ORG) SRTM data set provided; precipitation and soil moisture data are from the national meteorological data sharing service platform (https://data.cma.cn).
", "ds_quality": "Compared with the observed precipitation and soil moisture data of meteorological station, the product has a negative correlation with SPI and soil moisture, and the correlation is good.
", "ds_ref_way": "", "ds_abstract": "Soil moisture content is an important index of drought monitoring, and temperature vegetation drought index can monitor drought by retrieving surface soil moisture. This data set is based on MODIS vegetation index and surface temperature products, combined with SRTM DEM data, using ndvi-lst feature space characteristics, extracting the dry and wet edge of the feature space, and obtaining the monthly temperature vegetation drought index data set of \"China Pakistan Economic Corridor\" in 2000-2017. The spatial range of this data set is 41 ° 25'24.49 \"～ 23 ° 45'24.49\" north latitude, 60 ° 53'57.97 \"～ 79 ° 52'27.97\" east longitude. The data format is GeoTIFF and the spatial resolution is 1km. The data set is composed of 216 data files. The data file is the monthly temperature vegetation drought index data. The file name is tvdi.ayyyddd.1 ﹐ km ﹐ month.tif. This data set can provide basic data and scientific and technological support for drought disaster monitoring of \"China Pakistan Economic Corridor\".
", "ds_time_res": "月", "ds_acq_place": "China's Kashgar region and surrounding areas and Pakistan", "ds_space_res": "1000.0m", "ds_projection": "", "ds_process_way": "The MRT batch processing tool is used for data splicing, projection conversion, band extraction and resampling to obtain NDVI, surface temperature and relevant quality control data. Using ArcGIS tools, DEM data are spliced, resampled and cropped. In the production process of this data set, the spatial reconstruction method is used.
", "ds_ref_instruction": "In order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources. Users can use ArcGIS, ENVI and other commonly used GIS and remote sensing software in data reading and operation." } }, "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, "ds_topic_tags": [ "温度植被干旱指数", "地表温度", "中巴经济走廊", "归一化植被指数" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国喀什及周边", "巴基斯坦" ], "ds_time_tags": [ 2000, 2017 ], "ds_contributors": [ { "true_name": "冯克庭", "email": "fengkt@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" }, { "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" }, { "true_name": "田德宇", "email": "tiandy@lzb.ac.cn", "work_for": "中国科学院西北生态环境研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "冯克庭", "email": "fengkt@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "冯克庭", "email": "fengkt@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "category": "生态" }