20 skills found
Okes2024 / Detecting Deforestation From Remote Sensing Data GEE This project detects deforestation by analyzing Landsat 8 imagery and NDVI changes in Google Earth Engine, identifying significant vegetation loss between 2015 and 2024 to support environmental monitoring and data-driven decision-making.
davej23 / Attention Mechanism UnetAn Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.
karthikraja95 / Fsdl Deforestation DetectionNo description available
Beckybams / Crowdsourced Environmental Issue DetectionThis project leverages crowdsourced data and machine learning to detect and classify environmental issues. It empowers communities and organizations with actionable insights into pollution, deforestation, and other problems.
ytarazona / ForestoolsTools for detecting deforestation and forest degradation
jreiche / BaytsSet of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.
Beckybams / Deforestation Detection With Satellite DataDeforestation Detection with Satellite Data uses machine learning and remote sensing to monitor forest changes over time. Satellite images are analyzed to identify areas where trees are being removed. This approach enables early detection of illegal logging, supports environmental protection.
Geraldine-Winston / Deforestation Detection And Forecasting Using DL Models Like ResNet.No description available
BioWar / Satellite Image Segmentation Using Deep Learning For Deforestation DetectionNo description available
japhethkimeu / Deforestation Detection Using Deep LearningProject on detecting deforestation using deep learning algorithms
Osondu-ifunanya / Deforestation Detection Using Temporal Change Detection With Deep LearningThis project uses a Convolutional Neural Network to detect deforestation by analyzing temporal changes in synthetic satellite imagery, simulating NDVI and NIR variations before and after vegetation loss.
Nelvinebi / Deforestation Detection Using Satellite Imagery Deep LearningDeforestation Detection Using Satellite Imagery (Synthetic Data) generates and analyzes simulated RED/NIR reflectance and NDVI changes to classify land areas as deforested or not. It provides tabular datasets in Excel/CSV formats for testing machine learning and deep learning models without requiring real satellite imagery.
schumanzhang / Deforestation Deep LearningDetect deforestation in the Amazon rainforest from satellite images
yotarazona / ForestoolsTools for detecting deforestation and forest degradation
catherinelee274 / Deforestation DetectionMangrove deforestation detection with OpenCV
ncondo / Amazon From SpaceDetecting deforestation of the Amazon rainforest from satellite images
dmxsan / Automatic Deforestation DetectionDeforestation mapping based on high resolution satellite imagery with CNN algorithm
Osondu-ifunanya / Change Detection Using Siamese Networks On Multitemporal ImageryThis project detects land surface changes between two time periods using a Siamese neural network trained on synthetic imagery, simulating deforestation, urban growth, or disaster impact scenarios.
opswami189 / Change Detection For Deforestation Water Reserves From Satellite Images This project is written in Python. A large dataset of satellite images is taken to study the change in natural resources like forest and water reserves. There is the use of cv2, which is the latest version of OpenCV ( an image and video processing library). Apart from it, there are other tools like KMeans and PCA which are also used in this project.
P47Parzival / LISS 4 Satellite ImageryA comprehensive full-stack web application that leverages Google Earth Engine to monitor and visualize satellite-detected changes over user-defined Areas of Interest (AOIs). Built for researchers, environmental scientists, and organizations who need to track land use changes, deforestation, urban development, and other environmental transformations
