https://github.com/blutjens/reforestree
🌴 A dataset for estimating tropical forest biomass based on drone and field data
Science Score: 10.0%
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Links to: arxiv.org -
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○Scientific vocabulary similarity
Low similarity (8.2%) to scientific vocabulary
Repository
🌴 A dataset for estimating tropical forest biomass based on drone and field data
Basic Info
- Host: GitHub
- Owner: blutjens
- Default Branch: main
- Homepage: https://arxiv.org/abs/2201.11192
- Size: 849 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ReforesTree 🌴
We are excited to share the ReforesTree dataset! 🎉
We introduce the ReforesTree dataset in hopes of encouraging the fellow machine learning community to take on the challenge of developing low-cost, scalable, trustworthy and accurate solutions for monitoring, verification and reporting of tropical reforestation inventory.
This is a dataset for the following 6 agroforestry sites
In alphabetical order 1. Carlos Vera Arteaga 2. Carlos Vera Guevara 3. Flora Pluas 4. Leonor Aspiazu 5. Manuel Macias 6. Nestor Macias
Dataset Components
For each site the data we publish consists of four components free for use: 1. 🛸 Raw drone RGB images (see wwfecuador)_ 2. 🌴 Hand measured tree parameters (diameter at breast height, species, biomass, and location) of every tree (see fielddata.csv)_ 3. 🔲 Set of bounding boxes of trees for each site cleaned by hand and labeled as banana or not banana (see annotations/cleaned) 4. ↔️ Mappings of these bounding boxes with tree labels based on GPS location (see mappings/final)
You can download the data from dropbox and put the "data" folder in the main repo. All processed data is available directly to use, but if you want to process it yourself, feel free to only download "wwwecuador" and "fielddata.csv" and follow the tutorial below.
Tutorial
In the tutorial you'll find the steps to recreate (and hopefully improve) the dataset and how to use it.
Please read our paper here. For any questions, please reach out to gyri.reiersen@tum.de or david.dao@inf.eth.ch
Owner
- Name: Björn Lütjens (he/him)
- Login: blutjens
- Kind: user
- Company: MIT
- Website: https://blutjens.github.io/
- Twitter: bjornlutjens
- Repositories: 31
- Profile: https://github.com/blutjens
Postdoctoral Associate in tackling climate change with AI @ MIT. Project overview at https://blutjens.github.io/
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Dependencies
- POT *
- Pillow *
- geopandas >=0.8.1
- matplotlib >=3.3.3
- numpy >=1.19.5
- opencv-python *
- pandas >=1.1.3
- pyproj >=2.2
- pytorch-lightning >=1.4.4
- rasterio >=1.1.8
- scikit-image >=0.17.2
- seaborn >=0.11.1
- setuptools *
- shapely >=1.7.1
- tensorboard >=2.6.0
- torch >=1.9.0
- torchvision >=0.10.0