This layer shows the Digital Surface Model of Hong Kong from 2020 LiDAR Survey. It is a set of data made available by the Civil Engineering and Development Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

This layer shows the URL link to Digital Surface Model from 2020 LiDAR Survey in Hong Kong by tile. It is a set of data made available by the Civil Engineering and Development Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

This layer shows the URL link to Digital Surface Model from 2010 LiDAR Survey in Hong Kong by tile. It is a set of data made available by the Civil Engineering and Development Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

The five digital surface models (DSMs) illustrate the displacement and geomorphological changes along the Tuoli fault in the West Junggar region. The data for these DSMs were captured using the DJI Phantom 4RTK drone, which is equipped with high-precision mapping technology. These data can provide insights into the geometric and kinematic characteristics of the Tuoli Fault, which is instrumental in comprehending the deformation features of the Western Junggar region.

Sichuan Dataset for GRASS GIS
This geospatial dataset contains raster and vector data for Sichuan Province, China. The top level directory sichuan-dataset is a GRASS GIS location for WGS 84 / UTM zone 48N with EPSG code 32648. Inside the location there is the PERMANENT mapset, color tables, category tables, a license file, and readme file.

Instructions
Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database
directory. If you are new to GRASS GIS read the first time users guide.

Data Sources

• ALOS Global Digital Surface Model
• Anthromes
• NASA Shuttle Radar Topography Mission (SRTM)
• ESA CCI Landcover
• European Soil Data Centre (ESDAC)
• Database of Global Administrative Areas (GADM)
• Harvard World Map
• IUCN Red List
• Protected Planet
• NASA Blue Marble
• Natural Earth
• Open Street Map
• WWF HydroSHEDS
• WWF Terrestrial Ecoregions of the World

License
This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.

DEM is the English abbreviation of Digital Elevation Model, which is the important original data of watershed topography and feature recognition.DEM is based on the principle that the watershed is divided into cells of m rows and n columns, the average elevation of each quadrilateral is calculated, and then the elevation is stored in a two-dimensional matrix.Since DEM data can reflect local topographic features with a certain resolution, a large amount of surface morphology information can be extracted through DEM, which includes slope, slope direction and relationship between cells of watershed grid cells, etc..At the same time, the surface flow path, river network and watershed boundary can be determined according to certain algorithm.Therefore, to extract watershed features from DEM, a good watershed structure pattern is the premise and key of the design algorithm. Elevation data map 1km data formed according to 1:250,000 contour lines and elevation points in China, including DEM, hillshade, Slope and Aspect maps. Data set projection: Two projection methods: Equal Area projection Albers Conical Equal Area (105, 25, 47) Geodetic coordinates WGS84 coordinate system

These six Digital Elevation Models (DEMs) were obtained using the DJI Phantom 4 RTK drone. The flight heights ranged from 200 to 250 meters. These datasets depict the alluvial surfaces, fault scarps, and fold scarps of the Jinghenan, Yongji, and Keguqin Faults, as well as the Jinghenan Anticline.

*Distance: From every village to its nearest stream.^Range: The difference between maximum and minimum values of environmental factors.#Suitable range: The range of environmental factors which allow O. hupensis survive.Environmental conditions for snail habitats in Eryuan County.

The rock stones in the Zuoduoshan Mountain are heavily weathered and piles of inverted talus are scattered throughout. This dataset is a composite product of visible light photographs for the typical talus in Zuoduoshan Mountain collected by aerial survey from an unmanned aerial vehicle (UAV) on 25th – 26th, August 2020. The dataset contains one visible orthophoto and one digital surface model (DSM). The geographic location of the survey area is 101°48'32.58" - 101°52'36.84" E, 30°02'51.03" - 30°06 '32.74" N, with a survey area of 22.6 square kilometres. This survey mission was carried out with the FeiMa UAV D200s equipped with the SONY ILCE-6000 visible camera, using ground-based single base station post processed kinematic (PPK) technology to acquire the spatial position (pos) and related parameters corresponding to each image capturing moment. The images are processed by FeiMa UAV Manager and Pix4d aerial survey software to synthesize the orthophoto of the survey area and generate a high precision DSM at the same time, with a spatial resolution of 10 cm. This product can be used as basic information for research related to the talus in this region, and are also worthy to provide a reliable verification reference for the products obtained from satellite remote sensing technology.

The data from the Digital Mountain Map of China depicts the spatial pattern and complex morphological characteristics of mountains in China from a macro scale, including the mountains’ spatial distribution, classification, morphological elements and area ratio. It is a set of basic data that can be used for mountain zoning, mountain genetic classification and resource environment correlation analysis. Mountains carry great natural resource supply, provide ecological service and regulation functions, and play an important part in eco-civilization construction and socioeconomic development in China. Lately，Prof. Li Ainong of the Institute of Mountain Hazards and Environment, CAS, developed this data set based on the spatial definition of mountains, an a topography adaptive slide window method for the relief amplitude. The data include: (1) Spatial distribution of mountains in China; (2) Mountain classification; (3) Main mountain ranges (with range alignment, relief grade and ridge morphology); (4)Main mountain peaks; (5)Mountain proportion table of the provinces/autonomous regions/municipalities of China; (6) Contour zoning data; (7) General situation of mountain formation; (8)Mountain division and zoning data; (9) List of main mountain peaks. The spatial resolution of the original DEM source is about 90m. And the boundaries of mountains have been revised with multisource remote sensing data, which has good spatial consistency with the relief shading map. The cartographic generalization accuracy of mountain ranges and relevant features is 1:1 000 000. Mountain features in this data set have higher spatial resolution and pertinence, which are available for the zonality of mountain environment and mountain hazards, and the spatial analysis for ecological, production and living spaces in mountain areas, surpporting macro decision-making on mountain areas' development in China. p