Surface solar irradiance (SSI) is one of the products of FY-4A L2 quantitative inversion. It covers a full disk without projection, with a spatial resolution of 4km and a temporal resolution of 15min (there are 40 observation times in the whole day since 20180921, except for the observation of each hour, there is one observation every 3hr before and after the hour）, and the spectral range is 0.2µ m～5.0 µ m. The output elements of the product include total irradiance, direct irradiance on horizontal plane and scattered irradiance, the effective measurement ranges between 0-1500 w / m2. The qualitative improvement of FY-4A SSI products in coverage, spatial resolution, time continuity, output elements and other aspects makes it possible to further carry out its fine application in solar energy, agriculture, ecology, transportation and other professional meteorological services. The current research results show that the overall correlation of FY-4A SSI product in China is more than 0.75 compared with ground-based observation, which can be used for solar energy resource assessment in China.
Based on the medium resolution long time series remote sensing image Landsat, the data set obtained six periods of ecosystem type distribution maps of the Qinghai Tibet Plateau in 1990 / 1995 / 2002 / 2005 / 2010 / 2015 through image fusion, remote sensing interpretation and data inversion, and made the original ecological base map of the Qinghai Tibet Plateau in 25 years (1990-2015). According to the area statistics of various ecosystems in the Qinghai Tibet Plateau, the area of woodland and grassland decreased slightly, the area of urban land, rural residential areas and other construction land increased, the area of rivers, lakes and other water bodies increased, and the area of permanent glacier snow decreased from 1990 to 2015. The atlas can be used for the planning, design and management of ecological projects in the Qinghai Tibet Plateau, and can be used as a benchmark for the current situation of the ecosystem, to clarify the temporal and spatial pattern of major ecological projects in the Qinghai Tibet Plateau, and to reveal the change rules and regional differences of the pattern and function of the ecosystem in the Qinghai Tibet Plateau.
This dataset contains the glacier outlines in Qilian Mountain Area in 2020. The dataset was produced based on classical band ratio criterion and manual editing. Chinese GF series images collected in 2020 were used as basic data for glacier extraction. Google images and Map World images were employed as reference data for manual adjusting. The dataset was stored in SHP format and attached with the attributions of coordinates, glacier ID and glacier area. Consisting of 1 season, the dataset has a spatial resolution of 2 meters. The accuracy is about 1 pixel (±2 meter). The dataset directly reflects the glacier distribution within the Qilian Mountain in 2020, and can be used for quantitative estimation of glacier mass balance and the quantitative assessment of glacier change’s impact on basin runoff.
The data set is based on a series of microwave remote sensing data, including Special Sensor Microwave Imager (SSM/I), Advanced Microwave Scanning Radiometer for Earth Observation System (AMSR-E), etc., which can be used as a reference for primary productivity. The data is from Liu et al. (2015), and the specific calculation method is shown in the article. The source data range is global, and Tibetan Plateau region is selected in this data set. 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.
1) Data content: the modified universal soil and water loss equation (RUSLE) is used to estimate the soil water erosion modulus at the plot scale. The soil conservation is used to measure the ability of the ecosystem to reduce soil erosion caused by precipitation, and to characterize the amount of water erosion reduction caused by vegetation, that is, the difference between the amount of soil water erosion under actual surface coverage and extreme degradation. Based on the above process, a 30-year (every five years from 1990 to 2020) ecological function map of the Qinghai Tibet Plateau is made, including two parts of water conservation and soil conservation data sets. 2) Data source and processing method: Based on ecosystem type data, MODIS NDVI products, 1:1 million soil attribute data, meteorological interpolation and elevation data, the atlas uses the precipitation storage method to estimate the water conservation of forest and grassland ecosystems, and measures its water conservation capacity by the hydrological regulation effect of ecosystem, that is, the increment of water conservation compared with bare land. 3) Data quality: the data has a temporal resolution of 5 years and a spatial resolution of 1000m, which can meet the needs of high-precision Ecosystem Assessment on the Qinghai Tibet Plateau. 4) Data application achievements and prospects: the statistical results show that in recent 30 years, the spatial distribution of water conservation work energy on the Qinghai Tibet Plateau has shown an overall distribution pattern of high in the southeast and low in the northwest, and gradually decreasing from the southeast to the northwest. The overall amount of soil conservation showed an increasing trend in fluctuation, and the amount of soil conservation function showed a decreasing trend in most areas of the West and south, of which the decreasing trend was obvious in the South and the increasing trend in the East.
1) Data content: this data set is the landslide disaster data of Sanjiang Basin in the southeast of Qinghai Tibet Plateau; 2) Data source and processing method: this data set was independently interpreted by Dai Fuchu of Beijing University of technology using Google Earth; This data file is finally formed by remote sensing interpretation - on-site verification - re interpretation - re verification and other methods after 7 systematic interpretation. More than 5000 landslides have been verified on site with high accuracy; 4) This data has broad application prospects for hydropower resources development, traffic engineering construction and geological disaster evaluation in the three river basins in the southeast of Qinghai Tibet Plateau.
The disaster catalogue of the Qinghai Tibet Plateau contains the spatial distribution and type information of various historical disasters, ranging from Pakistan and Kashmir in the west, Qinghai Province in the East, the foothills of the Himalayas in the South and Arkin mountain in the north. The production of data is completed by a large number of manual remote sensing interpretation, field investigation, collection of geological survey data and open source data. The data is stored in the form of vector points, mainly including attribute table, indicating disaster type, coordinates and other information. This data can be used to study the spatial distribution law of disasters and disaster evaluation. This data contains a total of 23536 pieces of data. Due to the reference of geological survey data, most of the debris flow data are distributed along the road, and there are few data in no man's land.
Lidar, multispectral and thermal infrared data are important observation data in the research fields of hydrology, ecology and environmental monitoring. This data set is the observation data of UAV in the integrated observation experiment of heaven and earth in the middle reaches of Heihe River Basin in 2020. The data set includes UAV remote sensing data from August 16 to 21, 2020. The UAV platform is Dajiang Phantom 4-multispectral version. Including lidar data of Daman superstation (August 16-21), Huazhaizi station (August 19) and Wetland station (August 21). The laser scanning system is Tovos DroneScan, with scanning frequency of 300000 points/s, point density of 100 points/m2 and scanning accuracy of 5 cm; Multispectral data of Daman superstation (August 18), Huazhaizi station (August 19) and Wetland station (August 21). The data set includes five bands of images, namely blue (450nm ± 16nm), green (560nm ± 16nm), red (650nm ± 16nm), red edge (730nm ± 16nm) and near infrared (840nm ± 26nm); And NDVI and reflectance data products corresponding to Wetland station and Huazhaizi station. The spatial resolution of the above data is about 0.2 m; In addition, it also includes the thermal infrared data of Huazhaizi station (August 18 and 19) and Wetland station (August 21). The wavelength range of thermal infrared channel is 7.5-13.5 μm. Imaging system sensitivity (nedt) < 50 mk, maximum frame rate: 30Hz, scene range (high gain): 640 × 512: -25° to 135℃, 336 × 256: -25° to 100℃, scene range (low gain): -40° to 550℃.
On August 19, 2018, DJI UAV was used to aerial photograph the wetland sample in Qumalai County of the Yangtze River Source Park. The overlap degree of adjacent photographs was not less than 70% according to the set flight route. The Orthophoto Image and DSM were generated using the photographs taken. The Orthophoto Image included three bands of red, green and blue, with a ground resolution of 2 cm, an area of 850 m x 1000 m and a resolution of 4.5 cm for DSM.
The data source is Copernicus global land service (CGLS), and the download address is:（ https://lcviewer.vito.be/ ）。 This data provides the land cover / land use type of phase I Sichuan Tibet traffic corridor (including G317, G318 and Sichuan Tibet Railway). The land cover data is automatically extracted from remote sensing images. The acquisition time of remote sensing images is from 2015 to 2019. The classification algorithm adopts proba-v, and the classification accuracy is 80%. Land use types include evergreen broad-leaved forest, deciduous broad-leaved forest, evergreen coniferous forest, deciduous coniferous forest, shrub, grassland, landing, entity, construction land, etc. The original spatial resolution of the data is 100m, and the spatial resolution after resampling is 250m. The data geographic coordinate system is wgs1984, and the projection coordinate system is Mercator projection. The data storage format is TIFF file.