https://github.com/casperfibaek/sentinel-structures
Source files for the paper "A Multi-Sensor Approach for Characterizing Human-Made Structures by Estimating Area, Volume and Population Based on Sentinel Data and Deep Learning" International Journal of Applied Earth Observation and Geoinformation
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Source files for the paper "A Multi-Sensor Approach for Characterizing Human-Made Structures by Estimating Area, Volume and Population Based on Sentinel Data and Deep Learning" International Journal of Applied Earth Observation and Geoinformation
Basic Info
- Host: GitHub
- Owner: casperfibaek
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 23.2 MB
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Created over 4 years ago
· Last pushed over 4 years ago
https://github.com/casperfibaek/sentinel-structures/blob/main/
# A Multi-Sensor Approach for Characterizing Human-Made Structures by Estimating Area, Volume and Population Based on Sentinel Data and Deep Learning
Source files for the paper:
Fibk, Casper Sams, Carsten Keler, and Jamal Jokar Arsanjani. 2021. A Multi-Sensor Approach for Characterising Human-Made Structures by Estimating Area, Volume and Population Based on Sentinel Data and Deep Learning. International Journal of Applied Earth Observation and Geoinformation 105 (December): 102628. https://doi.org/10.1016/J.JAG.2021.102628.
Special Issue: Recent Advances in Geocomputation and GeoAI for Mapping\
License: AGPL\
Dependencies: Buteo EO Toolkit (https://github.com/casperfibaek/buteo)
Labels are available at:
Fibaek, Casper (2021), Raster dataset on the area, volume and population of structures in Denmark at ten by ten-meter resolution January 2021., Mendeley Data, V2, doi: 10.17632/mpkdmfdb8m.2
Owner
- Name: cGeom
- Login: casperfibaek
- Kind: user
- Repositories: 2
- Profile: https://github.com/casperfibaek