BioWar / Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-DetectionLinks
☆21Updated 11 months ago
Alternatives and similar repositories for Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection
Users that are interested in Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection are comparing it to the libraries listed below
Sorting:
- Training and deployment of deep learning models for satellite & aerial imagery☆63Updated 3 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 10 months ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆96Updated 2 years ago
- A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.☆20Updated last year
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆48Updated last year
- Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition☆52Updated 2 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- ☆24Updated 2 years ago
- ☆74Updated last year
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 3 years ago
- Satellite Vu submission for the AWS Disaster Response hackathon☆59Updated 3 years ago
- Models for the EarthNet2021 challenge.☆46Updated 2 months ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆32Updated 3 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆101Updated 4 years ago
- Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.☆48Updated 4 years ago
- Multi-Class Semantic Segmentation on Dubai's Satellite Images.☆85Updated 2 years ago
- Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.☆16Updated 3 years ago
- Leveraging Segment-Anything Model (SAM) to delineate crop field boundaries on Sentinel-2 images☆22Updated 2 years ago
- Analysis of Sentinel-2 satellite images using Google Earth Engine☆27Updated 3 months ago
- NGA Deep Learning☆28Updated 4 years ago
- Aiming to understand the factors influencing urban land surface temperature during the day and night☆18Updated 2 years ago
- This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plast…☆33Updated 2 years ago
- Repo for testing foundation models☆56Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆27Updated 5 years ago
- ☆52Updated 2 years ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆67Updated 2 years ago
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆34Updated 6 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆61Updated 3 years ago