<p>The FABDEM global data is based on Copernicus DEMs from 2011-2015, from which building and forest height deviations are removed through machine learning using random forest regression models. This data is the first global digital elevation model dataset to remove both building and forest heights. This algorithm reduces the average absolute vertical error in building areas from 1.61 meters to 1.12 meters, and reduces the average absolute vertical error in forest areas from 5.15 meters to 2.88 meters. The new digital elevation model is more accurate than existing global digital elevation models, with a grid spacing of 1 arcsecond (approximately 30 meters in the equatorial region). </p> <p>Here, we provide 1°×1° tile data across Xinjiang in China and five Central Asian countries. We do not provide mosaic data by country or province. The tile data follows the organizational structure and naming method of global data. You can search for areas of financial interest according to the provided 1°×1° grid search map. </p> <p>Explanation: A total of 224 pieces cover Xinjiang and a total of 549 pieces cover five Central Asian countries. The five Central Asian countries include Kazakhstan, Tajikistan, Kyrgyzstan, Uzbekistan and Turkmenistan</p>
| collect place | China Xinjiang, Kazakhstan, Tajikistan, Kyrgyzstan, Uzbekistan, Turkmenistan |
|---|---|
| data size | 20.4 GiB |
| data format | .tiff format |
| Coordinate system | WGS84 |
| Projection | WGS84 |
FABDEM global DEM terrain data is obtained based on COPDEM30 and using machine learning technology of random forest regression models to remove height deviations of buildings and trees. Global data is open to the University of Bristol Research Data Repository. The website is: data.bris.ac.uk/data/dataset/s5hqmjcdj8yo2ibzi9b4ew3sn
The workflow for producing FABDEM global data includes three phases: (1)Data preparation, including processing forecast data and reference DEMs; (2)Random forest correction to remove forests and buildings separately; (3)Post-processing combines the corrected DEMs, fills in unrealistic potholes, and applies a smoothing filter.
The average absolute vertical error in building areas is 1.12 meters, and the average absolute vertical error in forest areas is 2.88 meters. The grid spacing is 1 arcsecond (approximately 30 meters in the equatorial region).
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| # | title | file size |
|---|---|---|
| 1 | FABDEM_1x1_tiles_xj | |
| 2 | FABDEM_1×1_tiles_CA | |
| 3 | FABDEM_data_CA | |
| 4 | FABDEM_data_XJ |
Xinjiang, China Kyrgyzstan Kazakhstan Turkmenistan Uzbekistan Tajikistan
©Copyright 2021-. Xinjiang Institute of Ecology and Geography, CAS
No. 818 Beijing South Road, Urumqi, Xinjiang, China, 830011
