Semantic Segmentation for deforestation in Bolivia.
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Updated
Jul 14, 2022 - Jupyter Notebook
Semantic Segmentation for deforestation in Bolivia.
Analysis on deforestation trends in R.
Docker images for the Fauno tool
This repository contains an exploratory data analysis (EDA) of a deforestation dataset obtained from Kaggle. The dataset includes the abbreviation of countries, the percentage of forest area in 2000 and 2020.
Code and sample data for McGregor et al., 2024
Scenarios of deforestation for tropical countries
First year Honors project "Rainforest deforestation detection and prediction with machine learning"
Wood Beacon - Illegal Deforestation | Client made with Raspberry Pi & LoRaWAN.
MapBiomas Alert Api is a python client for the MapBiomas Alert Api service.
A Jupyter notebook for detecting deforestation using GeoTIFF satellite images and NDVI analysis with OpenCV.
Deforestation amplifies flood risk and severity in the developing world
This is a computer vision model that detects if forest areas experienced deforestation. It takes in a satellite image of a forest region to categorize if the region experienced deforestation or hasn't experienced deforestation. This project was created within the AI4ALL Ignite Program SP24.
📦 🐍 🌎 deforisk QGis plugin for creating and comparing risk maps of deforestation in the tropics
This repository contains the Google Earth Engine javascript (main code) and R file (pearson trend analysis test)
Detecting and visualizing land cover change using ArcGIS Pro in the Brazil state Rondonia between year 2020 and 1992.
Quantification of Forest loss using Satellite data
Code for Deforestation Driver and Carbon Emission (DeDuCE) model
Code repository for the paper: Silveira, M.V. F., Silva-Junior, C.H.L., Anderson, L.O., Aragão, L.E.O.C. Amazon fires in the 21st century: the year of 2020 in evidence. Global Ecology and Biogeography (2022). https://doi.org/10.1111/geb.13577
Python notebook for analyzing deforestation in Cancun, Mexico using OpenCV and satellite imagery from Google Earth Engine, designed for impactful environmental monitoring.
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