9 skills found
ghislainv / Riskmapjnr📦🐍 Mapping deforestation risk following JNR methodology
pcl-labs / Hotel Website Vkirirom.comvkirirom.com is a hotel website in Cambodia. Built in vue.js, and a progressive web app; They support conservation of the national forest their reside in, while also supporting a free software college with 300 Cambodian students. One of our favorite clients, they are always willing to pilot new ideas, and is a good playground for new contributers.
earthtoolsmaker / Forest Elephants Rumble DetectionThis repository contains a collection of software packages designed for the passive acoustic monitoring (PAM) of forest elephant rumbles. These tools facilitate the detection, classification, and analysis of elephant vocalizations, aiding in conservation and research efforts.
Osondu-ifunanya / Wetland Classification And Change Detection Using Sentinel 1 2 And RFThis project uses synthetic Sentinel-1 SAR data and Random Forest classification to map wetlands and detect changes over time, supporting environmental monitoring, habitat conservation, and climate resilience planning.
Plant-for-the-Planet-org / Planet DonationsThe Donation Gateway that powers the Plant-for-the-Planet Platform. You can make donations to restoration organizations, plant trees and support forest conservation.
Bunny1438 / Autumn Hacks 2019A solution in the form of website for Forest Land and its conservation. I also planned for Predicting some stats related to forest land in different parts of India using ML and Linear Regression.
ClueFoxx / Aravalli Forest Monitoring DashboardA technology-based environmental monitoring system for forest conservation and sustainable development in the Aravalli region
007shashi / Forest Fire Detection And Animal MonitoringDesigned and implemented a cutting-edge project leveraging Deep Learning and CNN algorithms to address critical challenges in forest conservation and management.
JuliusFx131 / Hack The Carbon InstaDeep Project"Hack The Carbon" hackathon challenged participants to use ML and open-source satellite imagery to accurately estimate Above-Ground Biomass in African forests. The goal is to generate high-resolution biomass maps that support carbon accounting, conservation, and REDD+ reporting. Submissions were judged on the accuracy, scalability, and clarity.
