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# System prepended metadata

title: 'Collection of Resources: Deep Learning for Nature Conservation and Climate Science'

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# Collection of Resources: Deep Learning for Nature Conservation and Climate Science


To help you become part of this amazing new community that evolved around the interlap of research in conservation and climate science and research in machine and deep learning, here is a list of resources to get inspired.
Feel free to add to this list (by signing in) and leave comments!

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## Datasets and Challenges
### Nature / Wildlife Conservation
* [Wildlife Identification (from sharks and turtles to lynx) - Wildme ](https://www.wildme.org/#/platforms)
* [Labeled Information Library of Alexandria: Biology and Conservation (mostly camera traps but also some climate change relevant datasets like glaciers)](https://lila.science/datasets)
* [HUGE list of resources for conservation technology](https://conservationtech.directory/)
* [Collection of resources, data, papers and everything else you can imagine about Camera Traps](https://agentmorris.github.io/camera-trap-ml-survey/#camera-trap-ml-papers)
* [Zindi (Africa's Kaggle) - Coral Classification Challenge](https://zindi.africa/competitions/coral-classification-challenge) (competition is closed but the data and descriptions are still available), same goes for: [Marine Invertebrates Classification Challenge](https://zindi.africa/competitions/marine-invertebrates-classification-challenge/data) and (still open!) [Turtle Recall: Conservation Challenge](https://zindi.africa/competitions/turtle-recall-conservation-challenge)
* [Conservation Tech Award](https://www.earthranger.com/conservation-tech-award)


### Climate Change
* [Competitions with associated Datasets](https://www.drivendata.org/competitions/) (also includes some conservation stuff)
* [Awesome Forests Dataset](https://github.com/blutjens/awesome-forests)
* [Open Source Remote Sensing Dataset for Agriculture](https://github.com/nasaharvest/cropharvest)
* [Identifying Drivers of Deforestation with DL - paper and dataset](https://stanfordmlgroup.github.io/projects/forestnet/)
* [ClimART - A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models](https://github.com/RolnickLab/climart)
* [NASA's open source EARTHDATA](https://earthdata.nasa.gov/)
* [Climate Data Guide](https://climatedataguide.ucar.edu/)
* Kaggle Datasets:  
    * [Plant Seedlings Dataset](https://www.kaggle.com/vbookshelf/v2-plant-seedlings-dataset)
    * [Agriculture crop images](https://www.kaggle.com/aman2000jaiswal/agriculture-crop-images)
    * [Global Food & Agriculture Statistics](https://www.kaggle.com/unitednations/global-food-agriculture-statistics)
    * [Weed Detection in Soybean Crops](https://www.kaggle.com/fpeccia/weed-detection-in-soybean-crops)
    * [crop and weed detection data with bounding boxes](https://www.kaggle.com/ravirajsinh45/crop-and-weed-detection-data-with-bounding-boxes)
    * [DeepWeedsX](https://www.kaggle.com/coreylammie/deepweedsx)
    * [California Crop Mapping - 2014](https://www.kaggle.com/saraivaufc/california-crop-mapping-2014)
* [Goolge's Earth Engine Data Catalog](https://developers.google.com/earth-engine/datasets)
* [TorchGeo](https://github.com/microsoft/torchgeo) - a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data
* [CropHarvest (dataset + code + benchmarks)](https://github.com/nasaharvest/cropharvest)
* [AI4FoodSecurityChallenge (dataset + code)](https://github.com/AI4EO/tum-planet-radearth-ai4food-challenge) - competition is now closed but dataset + code can still be used
* [WildfireDB](https://zenodo.org/record/5636429#.YeWUzFjMKCc) -  open-source dataset on wildfire spread and associated weather, vegetation, and other features, here is a [paper](https://openreview.net/pdf?id=6nblryHxVbO) describing the dataset
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## Communities and Platforms
### Nature / Wildlife Conservation
* [Wildlabs Community - community support, publications, articles ](https://wildlabs.net/)
* [Join the AI for Conservation Slack Space](https://join.slack.com/t/aiforconservation/shared_invite/zt-9e1a80pf-Ez0UK51jYv1Lgd~Hwyy5Zw)

### Climate Science
* [Climate Change AI - community, resources, open positions (in case someone is looking for internships)](https://www.climatechange.ai/)

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## Publications to get inspired

### Nature / Wildlife Conservation
* [Seeing biodiversity: perspectives in machine learning for wildlife conservation](https://arxiv.org/abs/2110.12951)

### Climate Science
* [Climate Change AI Wiki](https://wiki.climatechange.ai/wiki/Welcome_to_the_Climate_Change_AI_Wiki) overview with summaries, publications links to resources
* [Overview: Tackling Climate Change with Machine Learning](https://arxiv.org/abs/1906.05433)
* [TUM & DLR: Artificial Intelligence for Earth Observation: Reasoning, Uncertainties, Ethics and Beyond - list of publications](https://https://ai4eo.de/publications)



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## Tutorials and Workshops

### Climate Science
* [Carbon Brief: How do climate models work?](https://https://www.carbonbrief.org/qa-how-do-climate-models-work)
* [NeurIPS 2021 Workshop: Tackling Climate Change with Machine Learning](https://www.climatechange.ai/events/neurips2021)
*


## Cool Applications
* [Earth Ranger Project](https://www.earthranger.com/conservation-tech-award)