GEDICorrect Example Dataset in Portugal
Authors/Creators
- 1. MED – Mediterranean Institute for Agriculture, Environment, and Development, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554, Évora, Portugal
- 2. MED – Mediterranean Institute for Agriculture, Environment, and Development, CHANGE – Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554, Évora, Portugal
Contributors
Data manager:
Description
This dataset presents as an example dataset to test run the GEDICorrect framework for precise GEDI geolocation correction using small-footprint ALS data. This dataset contains 2 vital components to correct GEDI geolocation:
- GEDI L1B/L2A Merged and Vertical Datum offset corrected
- ALS point cloud
The GEDI file is ready to use as is, however, the user must process the .laz dataset for conversion to .las (.laz -> .las). The framework currently does not support ".laz" files.
To do this, the user must run the helper script presented at 'utils/convert_las.py' (https://github.com/leonelluiscorado/GEDICorrect/blob/main/utils/convert_las.py). Please follow the instructions of the script. Make sure you have atleast ~200GB available for conversion on your local system.
For more information, please follow the instructions provided in the framework: https://github.com/leonelluiscorado/GEDICorrect/tree/main
For further questions, please contact us at leonel.corado@uevora.pt , we will be happy to assist you.
Files
example_dataset.zip
Additional details
Funding
- Direção Geral do Território
- GEDI4SMOS - Combining LiDAR, radar, and multispectral data to characterize the three-dimensional structure of vegetation and produce land cover maps RE-C08-i02
Software
- Repository URL
- https://github.com/leonelluiscorado/GEDICorrect
- Programming language
- Python
- Development Status
- Active