Types of surface vegetation within 500m of China Pakistan Economic Corridor and Tianshan Mountains (2020)

This data set collates and collects the surface vegetation type data with 500m spatial resolution in the Qinghai Tibet Plateau and its surrounding areas. The data source is from the official website of the United States Geological Survey (USGS)( https://lpdaac.usgs.gov/products/mod12q1v006/ )This data is the land use and cover product of MODIS level III data, with a spatial resolution of 500m. By using supervised classification of Terra and aqua reflectance data. By applying smoothing splines to the bottom bidirectional reflectance distribution function (BRDF) - adjusted reflectance (nbar) time series, the 6th mcd1201 product developed a new notch filling spectral time feature. In addition, the 6th edition also uses hidden Markov model (HMM) to reduce false changes in category labels. The data set contains 17 major land cover types, including 11 natural vegetation types, 3 land types for land development and mosaic and 3 non vegetation land type definition types according to the international geosphere biosphere program (IGBP). They are: 1-evergreen coniferous forest; 2-evergreen broad-leaved forest; 3-deciduous coniferous forest; 4-deciduous broad-leaved forest; 5-mixed forest; 6-dense shrub; 7- sparse shrub; 8- woody savanna; 9- savanna; 10- grassland; 11- permanent wetlands; 12- agricultural land; 13- cities and construction areas; 14- agricultural land / natural vegetation splicing; 15- snow and ice; 16- bare ground; 17- water.

0 2022-07-01

Debris flow risk assessment in China Pakistan Economic Corridor (2021)

This data is the debris flow risk assessment data, which is obtained from the analysis and research of the debris flow disaster in the China Pakistan Economic Corridor. The sample data of debris flow is the detailed data of debris flow disaster through remote sensing interpretation and on-site verification. A risk assessment system is established to evaluate the debris flow risk in the study area by using the information method, and then the risk area is divided by using the natural breakpoint method. This data can be used to assess the risk of major debris flow disasters, understand the relationship between the risk degree of major debris flow, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

0 2022-06-21

Distributions of debris flows in CPEC and Tianshan Mountain

This data provides the distribution of debris flows in the China-Pakistan Economic Corridor and the Tianshan Mountains by 2021. Based on historical data collection, field surveys and interpretation of remote sensing images, combined with digital topographic maps (DEM) and geological maps, the latest China-Pakistan economic The debris flow distribution data of the corridor (foreign section) has good reliability of data information, and the data can be used as the basic data for debris flow distribution law, debris flow risk, and risk calculation. The extraction of the debris flow basin mainly adopts the hydrological analysis method in ArcGIS, taking into account the accuracy limitation of DEM, combined with Google Earth images to perform necessary manual correction.

0 2022-06-20

Vulnerability assessment of debris flow in China Pakistan Economic Corridor (2021)

This data is the debris flow risk assessment data obtained from the analysis and Research on the debris flow disaster in the China Pakistan Economic Corridor, and the data source is the risk and vulnerability analysis results obtained from this study; The research method is based on the risk expression given by the United Nations Department of Humanitarian Affairs (1992): risk = hazard × Vulnerability, risk analysis of debris flow disaster in the study area.. The purpose of this data is to assess the risk of debris flow disaster in the China Pakistan Economic Corridor, understand the relationship between the intensity of major debris flow risk, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

0 2022-06-20

Debris flow risk assessment in China Pakistan Economic Corridor (2021)

This data is the debris flow risk assessment data obtained from the analysis and Research on the debris flow disaster in the China Pakistan Economic Corridor, and the data source is the risk and vulnerability analysis results obtained from this study; The research method is based on the risk expression given by the United Nations Department of Humanitarian Affairs (1992): risk = hazard × Vulnerability, risk analysis of debris flow disaster in the study area.. The purpose of this data is to assess the risk of debris flow disaster in the China Pakistan Economic Corridor, understand the relationship between the intensity of major debris flow risk, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

0 2022-06-20

Average annual vegetation coverage of China Pakistan Economic Corridor and Tianshan Mountains (2000-2018)

This data uses a large number of MODIS remote sensing images to analyze and calculate the surface vegetation coverage of the Qinghai Tibet Plateau from 2000 to 2018 based on the Google Earth engine platform. Vegetation index (NDVI) is an important index for monitoring ground vegetation. The 6th edition data of Terra moderate resolution imaging spectrometer (MODIS) vegetation index level 3 product (mod13q1) are generated every 16 days with a spatial resolution of 250 meters. The annual average NDVI index calculated based on GEE platform can reflect the long-term change trend of vegetation coverage from 2000 to 2018. Meanwhile, the multi-year average NDVI index from 2000 to 2018 reflects the spatial distribution of the Qinghai Tibet Plateau. The spatial-temporal change monitoring of vegetation index (NDVI) is an indispensable basic information and key parameter for environmental change research and sustainable development planning, which is helpful to understand the changes and impacts of some ecological factors (temperature, precipitation) under the background of climate change.

0 2022-06-20

China Pakistan Economic Corridor and main water systems of Tianshan Mountains (1989)

The China Pakistan Economic Corridor and Tianshan Mountain region belong to subtropical grassland, desert climate and warm temperate continental arid climate, with less River precipitation supply. The rivers in the northern mountain area are supplied by glacial snow melt water. Located in the Indus River Basin, the upper reaches of the Indus River have developed water systems, including the main stream of the Indus River, Jhelum River and Chenab River in the west of the left bank. This data set is a water system map of the Qinghai Tibet Plateau. Water system is an important natural factor. Its development, shape and distribution are the result of the comprehensive action of many factors. The classification of rivers is based on the most typical characteristics of water systems, so the coding of water systems takes full account of the classification of water systems and other characteristics of rivers. The data of foreign rivers come from natural earth. All rivers are subject to manual smoothing and position adjustment to adapt to the shadow terrain generated by SRTM plus elevation data.

0 2022-06-18

DEM of the China–Pakistan Economic Corridor and Tianshan Mountains (30m) (2006-2011)

Topographic data of China Pakistan Economic Corridor and Tianshan Mountains are produced by Japan Aerospace Exploration Agency (JAXA). The 30m digital elevation model (DEM) (2006-2011) of China Pakistan Economic Corridor and Tianshan Mountains describes the ground elevation information, which is an important raw data for studying and analyzing terrain, watershed and feature recognition. It is widely used in surveying and mapping, hydrology, hydrology, meteorology, geomorphology, geology, soil, engineering construction and other fields of national economy as well as humanities and natural sciences. In terms of flood control and disaster reduction, DEM is the basis for hydrological analysis, such as catchment area analysis, water network analysis, rainfall analysis, flood storage calculation, inundation analysis, etc; At the same time, DEM data can reflect local terrain features with a certain resolution. Through DEM, a large amount of surface morphology information can be extracted, which can be used to draw contour lines, elevation maps, slope maps, water system maps, three-dimensional perspective maps, three-dimensional landscape maps, and used to make orthophotos, three-dimensional terrain models, and map revision. The horizontal resolution of the data is 30m (1 arc second), and the elevation accuracy is 5m. It is one of the most accurate terrain data in the world. The data download address is https://www.eorc.jaxa.jp/ALOS/en/aw3d30/data/ 。

0 2022-06-18

Soil types of China Pakistan Economic Corridor and Tianshan Mountains (1971-1981)

This data set is the soil type map of China Pakistan Economic Corridor and Tianshan Mountains (1971-1981), which is derived from the world food and Agriculture Organization (FAO) harmonious world soil database (v1.2). The coverage is global, and the spatial resolution is 0.0833333 °. The soil data is the result of the cooperation between FAO and the world soil information agency, the Soil Research Institute of the Chinese Academy of Sciences and the joint research center of the European Commission. The unified world soil database is a 30 arc second grid database with more than 15000 different soil mapping units. It combines the existing soil information in the world with the information in the 1:5000000 scale world soil map (FAO, 1971-1981). The grid database consists of 21600 rows and 43200 columns, and uses a standardized structure to link attribute data with grid maps to display or query the composition of soil units and the characteristics of selected soil parameters. Soil type map can provide basic scientific reference for land use planning, geological disaster prevention and management.

0 2022-06-18

Physical property data of typical debris flow ditch of G217 and G30 main traffic roads in Tianshan area (2021)

This data is the material physical property data of the typical debris flow trenches of G217 and G30, the main traffic roads in the Tianshan area. This data is the detailed information of the typical debris flow disaster points in the study area, including watershed parameters, channel parameters, and debris flow accumulation material physical parameters; these data can be Combined with the rainfall data, the research contents such as the rainfall threshold of debris flow activities in this area can be further carried out. Including the area of the debris flow basin, the width of the ditch, the length of the ditch, the vertical gradient, the area of the glacial lake, and the physical properties of the debris flow deposits. The physical property data of the accumulation were obtained by experimental equipment such as a laser particle size analyzer, and the saturated permeability coefficient was obtained by a triaxial experiment.

0 2022-05-26