https://github.com/awf-gaug/german-nfi-s2-dataset
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AWF-GAUG
- Language: Julia
- Default Branch: main
- Size: 3.75 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
Readme.md
A Dataset Containing Sentinel-2 Time Series of German National Forest Inventory Trees
This repo contains the code that was used to create the dataset published [here]. The dataset contains Sentinel-2 bottom of atmosphere reflectance time series for a subset of the trees measured in the 2012 and 2022 national forest inventory in Germany. It can be used to train machine learning and deep learning models to classify tree species from S2 time series.
The scripts provided here can only be used if you have access to the confidential NFI sampling locations. Consequently, they are mainly here to allow the public to check the validity of the code. If you need access to the NFI data, please contact the Thünen Institute directly and not the authors.
How can I load the data?
Please look into the dataloading_example.ipynb file - there you can find python sample code.
Owner
- Name: AWF
- Login: AWF-GAUG
- Kind: organization
- Location: Göttingen, Germany
- Website: http://www.uni-goettingen.de/en/67094.html
- Repositories: 11
- Profile: https://github.com/AWF-GAUG
Chair of Forest Inventory and Remote Sensing, University of Göttingen