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https://github.com/mprakhar/DSM2DTM
Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City
https://github.com/mprakhar/DSM2DTM
dem digital-surface-model dsm scanlines
Last synced: about 1 month ago
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Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City
- Host: GitHub
- URL: https://github.com/mprakhar/DSM2DTM
- Owner: mprakhar
- License: mit
- Created: 2017-11-15T06:05:33.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-23T04:29:44.000Z (about 5 years ago)
- Last Synced: 2024-01-07T10:27:41.807Z (6 months ago)
- Topics: dem, digital-surface-model, dsm, scanlines
- Language: Jupyter Notebook
- Homepage: https://www.mdpi.com/2072-4292/10/12/2008
- Size: 2.21 MB
- Stars: 11
- Watchers: 1
- Forks: 8
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-earthobservation-code - DSM2DTM - Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City `Python` (DEM projects / EUMETlab)
README
Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City. If you find this useful, please cite as - Misra, P.; Avtar, R.; Takeuchi, W. Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City. Remote Sens. 2018, 10, 2008.
https://www.mdpi.com/2072-4292/10/12/2008# DSM2DTM
Notes:
A) This is a Python based implementation of "ADVANCED DTM GENERATION FROM VERY HIGH RESOLUTION SATELLITE STEREO IMAGES" by Perko et al (2015).
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/165/2015/isprsannals-II-3-W4-165-2015.pdf
This code is a modification of Perko et al (2015) to suit coarse resolution DSM e.g. ASTER, AW3D30.B) This runs on Python 2.7. Also download get_DSM.py and classDSM.py in the same folder. Make that folder as the active folder.
C) To run, type in terminal:
python get_nDSM.py --inputDSMpath 'path/for_trial.tif' --outputnDSMpath 'outfilesample.tif' --img_resolution 30 --neighborhood_kernel 300 --height_threshold 3 --slope_threshold 60
D) Help options:
python get_nDSM.py -h
E) Varibale decription
img_resolution is the resolution in meters. e.g. SRTM it should be 90. Regarding other optional arguments:
1)
--inputDSMpath INPUTDSMPATH
full path to DSM file which needs to be converted.
e.g. \home\AW3D.tif
2)
--outputnDSMpath OUTPUTNDSMPATH
full path to output nDSM file after converted e.g.
\home\AW3Dout.tif
3)
--img_resolution IMG_RESOLUTION
image resolution in meter
4)
--neighborhood_kernel NEIGHBORHOOD_KERNEL
how far (in meter) should the kernel size be considered.
Recommended - Lower distance for higher resolution.
5)
--height_threshold HEIGHT_THRESHOLD
minimum height difference (in meter) between ground
and building. Generally height of 1 storey building.
6)
--slope_threshold SLOPE_THRESHOLD
minimum slope between a building and ground pixel (in
degrees)
F) Please also ensure that following modules are present:
Rasterio #(Install by: pip install rasterio)
Cv2
Scipy
Numpy
Math
Matplotlib## -------- Request for feedback -----------------------------
I shall be grateful if you intend to use this code in a project. Kindly let me know your intended applications with this code. I will be happy to assist with problems/issues and feedback : ozprakharpooner at gmail dot com