Sanjiangyuan National Park

Brief Introduction: Sanjiangyuan National Park

Number of Datasets: 53

  • Monthly standard weather station dataset in Sanjiangyuan (1957-2015)

    Monthly standard weather station dataset in Sanjiangyuan (1957-2015)

    Monthly meteorological data of Sanjiangyuan includes 32 national standard meteorological stations. There are 26 variables: average local pressure, extreme maximum local pressure, date of extreme maximum local pressure, extreme minimum local pressure, date of extreme minimum local pressure, average temperature, extreme maximum temperature, date of extreme maximum temperature, extreme minimum temperature and date of extreme minimum temperature, average temperature anomaly, average maximum temperature, average minimum temperature, sunshine hours, percentage of sunshine, average relative humidity, minimum relative humidity, date of occurrence of minimum relative humidity, precipitation, days of daily precipitation >=0.1mm, maximum daily precipitation, date of maximum daily precipitation, percentage of precipitation anomaly, average wind speed, maximum wind speed, date of maximum wind speed, maximum wind speed, wind direction of maximum wind speed, wind direction of maximum wind speed and occurrence date of maximum wind speed. The data format is txt, named by the site ID, and each file has 26 columns. The names and units of each column are explained in the SURF_CLI_CHN_MUL_MON_readme.txt file. site_id lat lon elv name_cn 52754 37.33 100.13 8301.50 Gangcha 52833 36.92 98.48 7950.00 Wulan 52836 36.30 98.10 3191.10 Dulan 52856 36.27 100.62 2835.00 Qiapuqia 52866 36.72 101.75 2295.20 Xining 52868 36.03 101.43 2237.10 Guizhou 52908 35.22 93.08 4612.20 Wudaoliang 52943 35.58 99.98 3323.20 Xinghai 52955 35.58 100.75 8120.00 Guinan 52974 35.52 102.02 2491.40 Tongren 56004 34.22 92.43 4533.10 Togton He 56018 32.90 95.30 4066.40 Zaduo 56021 34.13 95.78 4175.00 Qumalai 56029 33.02 97.02 3681.20 Yushu 56033 34.92 98.22 4272.30 Maduo 56034 33.80 97.13 4415.40 Qingshui River 56038 32.98 98.10 9200.00 Shiqu 56043 34.47 100.25 3719.00 Guoluo 56046 33.75 99.65 3967.50 Dari 56065 34.73 101.60 8500.00 Henan 56067 33.43 101.48 3628.50 Jiuzhi 56074 34.00 102.08 3471.40 Maqu 56080 35.00 102.90 2910.00 Hezuo 56106 31.88 93.78 4022.80 Suo County 56116 31.42 95.60 3873.10 Dingqing 56125 32.20 96.48 3643.70 Nangqian 56128 31.22 96.60 3810.00 Leiwuqi 56137 31.15 97.17 3306.00 Changdu 56151 32.93 100.75 8530.00 Banma 56152 32.28 100.33 8893.90 Seda

    2020-06-24 1894 64 View Details

  • MODIS NDVI based phenology for the Three-River-Source National Park from 2001 to 2018

    MODIS NDVI based phenology for the Three-River-Source National Park from 2001 to 2018

    This dataset is land surface phenology estimated from 16 days composite MODIS NDVI product (MOD13Q1 collection6) in the Three-River-Source National Park from 2001 to 2018. The spatial resolution is 250m. The variables include Start of Season (SOS) and End of Season (EOS). Two phenology estimating methods were used to MOD13Q1, polynomial fitting based threshold method and double logistic function based inflection method. There are 4 folders in the dataset. CJYYQ_phen is data folder for source region of the Yangtze River in the national park. HHYYQ_phen is data folder for source region of Yellow River in the national park. LCJYYQ_phen is data folder for source region of Lancang River in the national park. SJY_phen is data folder for the whole Three-River-Source region. Data format is geotif. Arcmap or Python+GDAL are recommended to open and process the data.

    2019-12-17 1987 45 View Details

  • The places names dataset at 1:1000 000 in Sanjiangyuan region (2017)

    The places names dataset at 1:1000 000 in Sanjiangyuan region (2017)

    This data was originated from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. We have spliced and cut the source of the three rivers as a whole, so as to facilitate the use of the study of the source area of the three rivers. The data trend is 2017. This data set is AGNP data of 1:1 million residential place names in Sanjiangyuan area, including administrative place names at all levels and urban and rural residential place names. Names and Definitions of Attribute Items of Residential Place Name Data (AGNP): Attribute Item Description Fill in Example CLASS Geographical Name Classification Code AK NAME Name Quanqu Village PINYIN Chinese Pinyin Quanqucun GNID Place Name Code 632524000000 XZNAME Township Name Ziketan Township

    2019-05-13 1346 15 View Details

  • MODIS NDVI based phpenology for Sanjiangyuan (2001-2014)

    MODIS NDVI based phpenology for Sanjiangyuan (2001-2014)

    The data set includes estimated data on the SOS (start of season) and the EOS (end of season) of vegetation in Sanjiangyuan based on the MODIS 16-day synthetic NDVI product (MOD13A2 collection 6). Two common phenological estimation methods were adopted: the threshold extraction method based on polynomial fitting (the term “poly” was included in the file names) and the inflection point extraction method based on double logistic function fitting (the term “sig” was included in the file names). These data can be used to analyse the relationship between vegetation phenology and climate change. The temporal coverage ranges from 2001 to 2014, and the spatial resolution is 1 km.

    2019-09-14 1660 22 View Details

  • GF-1 NDVI dataset in Maduo County (2016)

    GF-1 NDVI dataset in Maduo County (2016)

    This is the vegetation index (NDVI) for Maduo County in July, August and September of 2016. It is obtained through calculation based on the multispectral data of GF-1. The spatial resolution is 16 m. The GF-1 data are processed by mosaicking, projection coordinating, data subsetting and other methods. The maximum synthesis is then conducted every month in July, August, and September.

    2019-09-14 1297 19 View Details

  • Primary road network dataset at 1:1000 000 in the Sanjiangyuan region (2017)

    Primary road network dataset at 1:1000 000 in the Sanjiangyuan region (2017)

    This data comes from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. We have spliced and cut the source of the three rivers as a whole, so as to facilitate the use of the study of the source area of the three rivers. The data trend is 2017. The data set is 1:1 million traffic data in Sanjiangyuan area, including road (LRDL) and railway (LRRL) layers. Highway (LRDL) includes national, provincial, county, Township and other highways; Railway (LRRL) includes standard rail, narrow rail, subway and light rail. Highway (LRDL) Attribute Item Name and Definition: Attribute Item Description Fill in Example GB National Standard Classification Code 420301 RN Road Number X828 NAME Road Name RTEG Road Grade IV TYPE Road Type Viaduct Meaning of Highway (LRDL) Attribute Item: Attribute Item Code Description GB 420101 National Highway 420102 Building China Road 420201 Provincial Highway 420102 Provincial Highway in Architecture 420301 County Road 420302 Jianzhong County Road 420400 Rural Road 420800 Tractor ploughing Road 440100 Simple Highway 440200 Rural Road 440300 Trail Name and definition of railway (LRRL) attribute item: Attribute Item Description Fill in Example GB National Standard Classification Code 410101 RN Railway No. 0907 NAME Railway Name Qinghai-Tibet Railway TYPE Railway Type Elevated

    2019-05-28 1191 17 View Details

  • Dataset of plant distribution investigation in Three-River-Source National Park (2008-2017)

    Dataset of plant distribution investigation in Three-River-Source National Park (2008-2017)

    This data set is the plant collection and distribution site information of Three-River-Source National Park investigated by Northwest Plateau Biology Institute of Chinese Academy of Sciences. The data set covers the period from 2008 to 2017, and the survey covers theThree-River-Source National Park. The survey contents include information such as collection date, number, family, genus, species, survey date, collection place, collector, longitude, latitude, altitude, habitat, appraiser, etc. Three parks of the national park were investigated respectively. 88 species of vegetation belonging to 56 genera and 24 families were investigated in the Yangtze River Source Park, with 116 records in total. Vegetation of 110 species in 64 genera and 26 families was investigated in the Yellow River Source Park, with 159 records in total. The vegetation of 30 species in 22 genera and 12 families was investigated in Lancang River Source Park, with a total of 33 records.

    2020-03-13 1453 23 View Details

  • The dataset of community statistics of each county in Three-River-Source National Park (2017)

    The dataset of community statistics of each county in Three-River-Source National Park (2017)

    This data set contains statistical tables on the community situation of each county in Three-River-Source National Park. The specific contents include: Table 1 includes: number of administrative villages, number of natural villages, number of households, population, number of rural labor force, total value of primary and secondary industries, net income per capita, and number of livestock. Table 2 includes: the ethnic composition of the population (population of each ethnic group), education-related statistics (number of primary and secondary schools and number of students), health-related statistics (number of hospitals, health rooms and medical personnel), and statistics on the education level of the population (number of people with different education levels); Table 3 includes: the grassland (total grassland area, usable grassland area, moderately degraded area and grassland vegetation coverage), woodland (total area, arbor forest area, shrub forest area and sparse forest area), water area (total area, river area, lake area, glacier area, snowy mountain area and wetland area). A total of four counties were designed: Maduo, Qumalai, Zaduo and Zhiduo. This data comes from statistics of government departments.

    2020-05-29 1688 32 View Details

  • Glacier distribution map in the Sanjiangyuan based on the second glacier inventory (2008)

    Glacier distribution map in the Sanjiangyuan based on the second glacier inventory (2008)

    This data set is extracted from the second Glacier Inventory Data Set of China for Three River Source area. The file is SHP format. The attribute data are as follows: Glc_Name (glacier name), Drng_Code (basin code), FCGI_ID (first glacier catalogue code), GLIMS_ID (GLIMS glacier code), Mtn_Name (mountain system name), Pref_Name (administrative division), Glc_Long (glacier longitude), Glc_Lati (glacier latitude), Glc_Area (glacier area), Abs_Accu (absolute area accuracy), Rel_Accu (relative area accuracy), Deb_Area (surface Moraine Area), Deb_A_Accu (absolute accuracy of surface moraine Area), Deb_R_Accu (relative accuracy of surface moraine area)、Glc_Vol_A (estimation of glacier volume 1)、Glc_Vol_B (estimation of glacier volume 2)、Max_Elev (maximum glacier elevation)、Min_Elev (minimum glacier elevation)、Mean_Elev (average glacier elevation)、MA_Elev (median area height of glacier)、Mean_Slp (average glacier slope)、Mean_Asp (average glacier slope direction)、Prm_Image (major remote sensing data)、Aux_Image (auxiliary remote sensing data)、Rep_Date (glacier catalogue represents date)、Elev_Src (elevation data source)、Elev_Date (elevation represents date)、Compiler (glacier cataloguing editor)、Verifier (glacier cataloguing verifier).

    2020-07-28 1515 26 View Details

  • MODIS vegetation index dataset in Sanjiangyuan (2000-2018)

    MODIS vegetation index dataset in Sanjiangyuan (2000-2018)

    The data set is MODIS vegetation index data (MOD13Q1). The source areas of the three rivers are extracted to carry out the research and analysis of the source areas of the three rivers separately. MOD13Q1 is a 16-day composite vegetation index, including normalized vegetation index (NDVI) and enhanced vegetation index (EVI). The spatial scope of Sanjiang Source covers two MODIS files (h25v05 and h26v05). Data storage format is hdf. Each file contains 12 bands: Normalized Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Data Quality (VI Quality), Red Reflectance, Near Infrared Reflectance (NIR Reflectance), Blue Reflectance, Mid Infrared Reflectance, Observation. Viewzenith angle, sun zenith angle, relative azimuth angle, composite day of the year and pixel reliability. The data format of this data set is hdf, spatial resolution is 250m, temporal resolution is 16 days, time range: February 2000 to October 2018.

    2020-06-03 1667 34 View Details

  • The places names dataset at 1:250,000 in Sanjiangyuan region (2015)

    The places names dataset at 1:250,000 in Sanjiangyuan region (2015)

    This data comes from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. We have spliced and cut the source of the three rivers as a whole, so as to facilitate the use of the study of the source area of the three rivers. The data trend is 2015. This data set includes 1:250,000 residential place names (AANP) in Sanjiangyuan area, including administrative place names at all levels and urban and rural residential place names. Names and Definitions of Attribute Items of Residential Place Name Data (AANP): Attribute Item Description Fill in Example NAME Name Quanqu Village PINYIN Chinese Pinyin Quanqucun CLASS Geographical Name Classification Code AK GNID Place Name Code 632524000000 XZNAME Township Name Ziketan Township

    2019-09-15 1417 17 View Details

  • Snow depth product for Sanjiangyuan from 1980 to 2018

    Snow depth product for Sanjiangyuan from 1980 to 2018

    This dataset was derived from long-term daily snow depth in China based on the boundary of the three-river-source area. The snow depth ranges from 0 to 100 cm, and the temporal coverage is from January 1 1980 to December 31 2018. The spatial and temporal resolutions are 0.25o and daily, respectively. Snow depth was produced from satellite passive microwave remote sensing data which came from three different sensors that are SMMR, SSM/I and SSMI/S. Considering the systematic bias among these sensors, the inter-sensor calibrations were performed to obtain temporal consistent passive microwave remote sensing data. And the long-term daily snow depth in China were produced from this consistent data based on the spectral gradient method.

    2019-12-20 1486 27 View Details

  • Drone photoes of Qumalai wetland plot (2018)

    Drone photoes of Qumalai wetland plot (2018)

    On August 19, 2018, the wetland sample in Qumali County, located in the source area of the Yangtze River, was aerially photographed by DJI Elf 4 UAV. A total of 31 routes were set up, flying at a height of 100 m, and the overlap of adjacent photographs was not less than 70%. A total of 1551 aerial photographs were obtained and stored in two folders named "Drone Photoes Part1" and "Drone Photoes Part2".

    2020-06-03 1358 16 View Details

  • Dataset of wild animal distribution investigation in Three River Source National Park (2017)

    Dataset of wild animal distribution investigation in Three River Source National Park (2017)

    The data set was obtained from the background survey of wildlife diversity in Three River Source National Park by Northwest Institute of Plateau Biology, Chinese Academy of Sciences. The time range of the data set is 2017, and the survey area is Three River Source National Park. The survey species include a variety of rare wildlife such as Equus kiang, Canis lupus, Vulpes vulpes, Cervus elaphus, Accipiter nisus, Phoenicurus erythrogastrus, Prionailurus bengalensis, Buteo hemilasius, Procapra picticaudata, Tetraogallus tibetanus, Perdix hodgsoniae, Falco cherrug, etc.

    2019-05-28 1597 33 View Details

  • Permafrost stability type map for Sanjiangyuan in 2010s

    Permafrost stability type map for Sanjiangyuan in 2010s

    The permafrost stability map was created based on the classification system proposed by Guodong Cheng (1984), which mainly depended on the inter-annual variation of deep soil temperature. By using the geographical weighted regression method, many auxiliary data was fusion in the map, such as average soil temperature, snow cover days, GLASS LAI, soil texture and organic from SoilGrids250, soil moisture products from CLDAS of CMA, and FY2/EMSIP precipitation products. The permafrost stability data spatial resolution is 1km and represents the status around 2010. The following table is the permafrost stability classification system. The data format is Arcgis Raster.

    2019-12-17 1123 27 View Details

  • Automatic weather station dataset from Guoluo station (2017)

    Automatic weather station dataset from Guoluo station (2017)

    The data set contains meteorological observations from Guoluo Station from January 1, 2017, to December 31, 2017, and includes temperature (Ta_1_AVG), relative humidity (RH_1_AVG), vapour pressure (Pvapor_1_AVG), average wind speed (WS_AVG), atmospheric pressure (P_1), average downward longwave radiation (DLR_5_AVG), average upward longwave radiation (ULR_5_AVG), average net radiation (Rn_5_AVG), average soil temperature (Ts_TCAV_AVG), soil water content (Smoist_AVG), total precipitation (Rain_7_TOT), downward longwave radiation (CG3_down_Avg), upward longwave radiation (CGR3_up_Avg), average photosynthetically active radiation (Par_Avg), etc. The temporal resolution is 1 hour. Missing observations have been assigned a value of -99999.

    2020-06-03 1314 22 View Details

  • Rare animals survey dataset for the Three-River Headwater Region (2016-2017)

    Rare animals survey dataset for the Three-River Headwater Region (2016-2017)

    The data set contains the rare animal survey data for the Sanjiangyuan area from 2016 to 2017, including the latitude and longitude of the survey site, the length of the sample line, animal discovery time, animal names, quantity, location of the occurrence, type of habitat, affiliated families, etc.

    2019-04-29 981 27 View Details

  • The resident site distribution data at 1:1000 000 in Sanjiangyuan (2017)

    The resident site distribution data at 1:1000 000 in Sanjiangyuan (2017)

    This data comes from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. In order to use the data more conveniently, the source of the three rivers is spliced and cut as a whole, so as to facilitate the use of the source area of the three rivers. The data trend is 2017. This data set is composed of 1:1 million residential areas in Sanjiangyuan area, including residential land (RESA) and residential place (RESP) layers, RESP residential area (point) layers, including ordinary houses, grazing areas and so on.

    2019-05-20 1115 22 View Details

  • Aerial Drone photos of Hoh Xil plot (2018)

    Aerial Drone photos of Hoh Xil plot (2018)

    On August 22, 2018, in the Lancang River Source Park, a camera was carried on DJI Elf 4 UAV to take aerial photographs of the sample area. A total of 20 routes (5 missing routes) were set up, flying at a height of 100 m, and the overlap degree of adjacent photos was not less than 70%. A total of 1160 aerial photographs were obtained and stored in two folders of "100 MEDIA" and "101 MEDIA".

    2019-05-10 1392 27 View Details

  • The Boundary Dataset of The Three-River-Source National Park

    The Boundary Dataset of The Three-River-Source National Park

    The Three-River-Source National Park with an area of 123,100 km2 and include three sub regions, they are source region of the Yangtze River in the national park, source region of Yellow River in the national park and source region of Lancang River in the national park. The national park is located between longitude 89°50'57" -- 99°14'57", latitude 32°22'36" -- 36°47'53". It accounts for 31.16% of the total area of Three-River-Source region. This data set is generated by digitizing the location map of Three-River-Source national park in the comprehensive planning of Three-River-Source national park. The data include the boundary for the national park. Data format is Shapefile. Arcmap is recommended to open the data.

    2019-12-17 3124 164 View Details