Everybody needs good neighbours: movement, habitat use, and conspecific association in a reintroduced mesopredator

Wildlife Health database documentation

Sample implementation of the Anitra data API client.

Monitor endangered wildlife and assess potential threats using autonomous drones

A data-driven initiative aimed at monitoring, analyzing, and protecting endangered wildlife species using technology.

An AI-powered, low-cost, and scalable solution that protects elephants and humans by enabling real-time, non-invasive wildlife monitoring.

Wilson et al. (2023) Roadmap to recovery revealed through the reintroduction of an IUCN Red List species

National Parks & Wildlife Sanctuary in Forest Conservation- A Responsive Website

Surface water mapping using Sentinel-1 and Google Earth Engine

Report Wildlife Sighting is a web application designed to help users report and track sightings of wildlife, specifically focusing on tigers. The application allows users to submit information about their sightings, including location, identification, and images, to contribute to wildlife conservation efforts.

🐆 Solution for the AnimalCLEF 2025 challenge. Focuses on individual animal re-identification and wildlife tracking using advanced Computer Vision and Deep Metric Learning techniques.

Spatio-temporal wildlife management Gymnasium RL Environment created and trained on for my Master's thesis

This repository contains downloadable elephant data as XLSX spreadsheets (./data/*.xlsx) derived from The Absolut Elephant Encyclopedia (elephant.se). Data under CC BY 4.0 license. Code open MIT license.

Detecting Dormice in Images Using Object Detection and Transfer Learning

Codes for generating step length and turning angle series from relocation time series track, their segmentation, and clustering to extract StaMEs, as performed in https://doi.org/10.1101/2023.12.27.573450.

How to pull data from GEE and how to bring it over to R to use in spatial analysis

Using computer vision to identify species in wildlife camera trap images to automate the dataset labeling process.

arete is a Python based pipeline aimed at rigorous, scientific extraction of species occurrence data through the usage of large language models.

Snow Leopard re identification

Analyzing skin microbiomes of cave-roosting bats for natural protection from white-nose syndrome