Forest survey is the application of measurement, tree measurement, remote sensing and other professional techniques and methods, survey, sampling and computer technology and other means to understand the quantity, quality, distribution and growth of forests within a specific range, so as to provide basic data for the formulation of forestry policies and scientific management of forests, as well as for scientific research. In the drainage ditch watershed of Qilian Mountain, there are three plots of Picea crassifolia forest in Qinghai Province, each of which is 2800m, 2900m and 3000m above sea level. Plot 01 is 20 * 30m and plot 02-09 is 20 * 35m. The traditional methods were used to investigate the tree height, DBH, base diameter and crown diameter of Picea crassifolia, providing basic data for the study of ecological hydrology of Picea crassifolia forest in the upper reaches of Heihe River.

Canopy conductance (mm s-1) is a sensitive index of forest transpiration response to environmental factors, and is a key parameter in water and carbon exchange model. The data is obtained by expanding the water consumption scale measured by stem sap flow technology to the stand scale to obtain the water consumption of the stand, and then using penman equation to calculate. This data mainly provides basic data for some eco hydrological models.

Leaf area index, also known as leaf area coefficient, refers to the multiple of the total area of plant leaves in the land area per unit land area. Leaf area index is an important structural parameter of ecosystem, which is used to reflect the number of plant leaves, the change of canopy structure, the life activity of plant community and its environmental effect, to provide structured quantitative information for the description of material and energy exchange on the canopy surface, and to balance the energy of carbon accumulation, vegetation productivity and the interaction between soil, plant and atmosphere, Vegetation remote sensing plays an important role. The leaf area index and other indexes of Picea crassifolia forest in Pailugou watershed were measured by plant canopy imager CI - 110

Soil evaporation in forest land is a process in which water in soil enters the atmosphere from the soil surface through rising and vaporizing. Soil evaporation affects the change of soil water content, which is an important part of hydrological cycle. The data were observed by the mini lysmeter evaporation tube, which was designed to provide data support for the study of water vertical exchange rule of Picea crassifolia forest.

Forest canopy interception refers to the hydrological process in which part of water is intercepted and received by forest canopy and redistributed to precipitation in the process of precipitation. The data include precipitation, throughfall, canopy interception and interception rate, which are mainly used to provide data support for understanding the eco hydrological process of Picea crassifolia forest.

Soil moisture, also known as soil moisture. It's the water that stays in the pores of the soil. The main source of soil water in Picea crassifolia forest is atmospheric precipitation, which is the only source of water absorbed by Picea crassifolia to maintain its growth. This data is the soil moisture data of Picea crassifolia forest measured by the soil moisture intelligent neutron instrument.

Water scarcity，food crises and ecological deterioration caused by drought disasters are a direct threat to food security and socio-economic development. Improvement of drought disaster risk assessment and emergency management is now urgently required. This article describes major scientific and technological progress in the field of drought disaster risk assessment. Drought is a worldwide natural disaster that has long affected agricultural production as well as social and economic activities. Frequent droughts have been observed in the Belt and Road area, in which much of the agricultural land is concentrated in fragile ecological environment. Soil relative humidity index is one of the indicators to characterize soil drought and can directly reflect the status of crops' available water.

Firstly, the canopy reflectance is expressed as a function of a series of parameters, such as Lai / fAPAR, wavelength, soil and leaf reflectance, aggregation index, incidence and observation angle. For several key parameters, the parameter table is established as the input of inversion. Then input the surface reflectance data and land cover data after preprocessing, and use the LUT method to retrieve the fAPAR products. See the reference for detailed algorithm. Image format: TIF Image size: about 1m per scene Time frame: 2012 Time resolution: month by month Spatial resolution: 1km

The distributed eco hydrological model needs high-precision precipitation spatial distribution information as input. Due to the scarcity of stations, the station interpolation precipitation can not reflect the spatial distribution of precipitation in Heihe mountain area. The regional climate model (RCM) simulation results provide the information of precipitation elevation relationship at different locations. The relationship is corrected according to the observed precipitation elevation gradient of hulugou watershed, and the precipitation elevation gradient at different locations of the watershed is obtained. Based on the gradient and the multi-year average value of precipitation observed at the station, the precipitation climate background field is established to represent the multi-year average spatial distribution of precipitation in the basin. Then, based on the daily precipitation observation data of 16 meteorological stations and 25 hydrological stations, and the precipitation spatial distribution information provided by the precipitation climate background field, the daily grid precipitation data is obtained by interpolation. The interpolation year of this data is 1960-2014, the spatial interpolation precision is 3-km, and the time precision is day by day data (the daily period is from 8:00 a.m. to 8:00 a.m. the next day). The results show that the interpolation precipitation is reliable. The data is stored in ASCII file. The file name of each file is in the form of precyyyymmdd.asc. Yyyy is the year, mm is the month and DD is the day. Each ASCII file represents the grid precipitation data of the day, in mm.

International literature on murray-darling river basin research is collected from SCI - E and SSCI citation databases in web of science database.Using Murray - the darling river basin related name, the name of the wetland, lake, river, name of the dam or reservoir, and Murray darling river flows through the administrative areas of name give priority to inscription for retrieval, and use the language (English) and the types of literature (articles), and Murray - the darling river basin water resources research related research direction selection, finally get the document of 1912-2012.

This data set consists of three parts: the first part is the monthly flow data of Yingluo gorge and caotanzhuang water conservancy project from 1979 to 2014; the second part is the S213 bridge (N38 ° 54'43.55 ", E100 ° 20'41.05") on the main stream of Heihe River from 1979 to 2014, G312 bridge (N38 ° 59'51.71 ", E100 ° 24'38.76"), railway bridge (n39 ° 2'33.08 ", E100 ° 25'49.42"), Gaoya bridge (n39 ° 08'06.35 ", E100 ° 25'58.23") and Pingchuan bridge (n39 ° The third part is the daily discharge and water level data of S213 bridge, G312 bridge, railway bridge, Gaoya bridge and Pingchuan bridge in the main stream of Heihe River from 1979 to 2014. Among them, the flow data refers to the section flow of Heihe River, and the water level data refers to the water level at the runoff densification observation point in the middle reaches of hiwater. The reliability of monthly data is higher than that of daily data, and the reliability of flow is higher than that of water level.

The data came from the badain jilin 1:500,000 wind-sand landform data set compiled by the desert research institute of the Chinese academy of sciences (now the institute of cold and drought of the Chinese academy of sciences. The dataset mainly includes :dimao(landform),height(dune height),lake(lake),lvzhou(oasis), river(river), road (road).