The data set is based on the reflectance of MODIS channels and the observation data of SIF to establish the neural network model, so as to obtain the SIF data with high spatial and temporal resolution, which is often used as a reference for primary productivity. The data is from Zhang et al. (2018), and the specific algorithm is shown in the article. The source data range is global, and the Tibetan plateau region is selected in this data set. This data integrates the original 4-day time scale data into the monthly data. The processing method is to take the maximum value of the month, so as to achieve the effect of removing noise as much as possible. This data set is often used to evaluate the temporal and spatial patterns of vegetation greenness and primary productivity, which has practical significance and theoretical value.
ZHANG Yao
This data set is the data set of climate elements in Hoh Xil area of Qinghai Province, covering the data of 14 observation stations, recording the climate observation data in 1990 in detail. Hoh Xil area in Qinghai Province has a high terrain with an average altitude of over 5000m. The climate is cold, the air is thin and the natural environment is bad. The vast area is still no man's land, known as "forbidden zone for human beings". Due to less interference from human activities, most of the area still maintains its original natural state. Its special geographical location, crustal structure and natural environment, as well as the unique composition of the biological flora, have been the focus of domestic surgical circles. The original data of the data set is digitized from the book "natural environment of Hoh Xil, Qinghai Province". The climate observation data include solar radiation, temperature, precipitation, air pressure, wind speed, etc. This data set provides basic data for the study of Hoh Xil area in Qinghai Province, and has reference value for the research in related fields.
LI Bingyuan
Geladandong region is an important and typical source region of great rivers and lakes in the Qinghai Tibet Plateau. This data set provides DEM covering glaciers in the source region of the Yangtze River and Selin Co with different time scales and resolutions to calculate the seasonal and decadal changes of glacier surface elevation in the source region. This data set includes seven 5-meter resolution TanDEM-X data from July 2016 to 2017, which can be used to calculate the seasonal change of glacier surface elevation; it includes one KH-9 DEM with a resolution of 30m in 1976, five TanDEM-X with a resolution of 30m in 2011, one TanDEM-X in 2014 and three TanDEM-X in 2017 with a resolution of 30m. The data can be used to calculate the change of glacier surface elevation during 1976-2000, 2000-20112011-2017. At the same time, Landsat ETM data are used to extract the glacier outline in 1976and we divide it according to the RGI6.0; The right figure shows the spatial and temporal coverage information of the data set, and the base figure is the orthophoto corrected kh-9 image.
CHEN Wenfeng
This data set is the data set of Lake elements in Hoh Xil area of Qinghai Province, which records the main lake characteristics and water quality sampling and analysis data in detail. There are many lakes in Hoh Xil area of Qinghai Province, which is one of the concentrated distribution areas of lakes in Qinghai Tibet Plateau. The basic characteristics of Lake Development in this area are: large quantity, many types and complex structure. According to preliminary statistics, there are 107 lakes with an area of more than 1km2, with a total area of 3825km2 and a lake degree of about 0.05. The original data of the data set is digitized from the book "natural environment of Hoh Xil region in Qinghai Province", which includes 35 main lake characteristic data and 60 lake water chemical analysis data. This data set provides basic data for the study of Hoh Xil area in Qinghai Province, and has reference value for the research in related fields.
LI Bingyuan
Net Primary Production (NPP) refers to the amount of energy consumed by plant respiration, which is deducted from the fixed energy of plant photosynthesis during the primary production process. The remaining energy can be used for plant growth and reproduction. The production volume is usually expressed as the dry weight of organic matter produced per square meter per year [g/(m2 · a)] or the fixed energy per square meter per year [J/(m2 · a)]. This data comes from MODIS-NPP data - MOD17A3HGF V6 product, which provides annual net primary productivity (NPP) information at a resolution of 500 meters. The annual net primary productivity is determined by the sum of all 8-day net photosynthetic (PSN) products (MOD17A2H) for a given year. The PSN value is the difference between total primary productivity (GPP) and sustained respiration (MR) (GPP MR).
WANG Xufeng
Meteorological data is generally divided into three categories: short-term (i.e. daily), medium-term, and long-term. Among them, daily meteorological data is the most commonly used data, mainly including temperature, precipitation, precipitation type, relative humidity, wind speed, and direction. They are the basic data for meteorological surveys and research, and are an important basis for meteorological forecasting, climate change monitoring, and precipitation forecasting. Daily meteorological data from national standard meteorological stations in Sanjiangyuan and adjacent areas from 1981 to 2015, including eight variables, namely station pressure, temperature, relative humidity, precipitation, evaporation, wind direction, wind speed, sunlight, and 0cm ground temperature. The data is in. txt format.
WANG Xufeng WANG Xufeng
The Sanjiangyuan National Park is located in the hinterland of the Qinghai Tibet Plateau, the third pole of the Earth. It consists of the Yangtze River Source Park, the Yellow River Source Park, and the Lancang River Source Park, with a total area of 123100 square kilometers. The remote sensing snow cover days data product of Sanjiangyuan National Park is based on the daily cloudless snow cover area of 500 meters in China from 2000 to 2020. It is calculated based on the sum of the number of snow cover days observed in a hydrological year, with the hydrological year from September 1 to August 31 of the following year. The range of snow days is 0-365 days or 366 days, with an invalid value of -1. The data format is TIFF, the data projection is WGS84 projection, and the resolution is 500m.
HAO Xiaohua
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