prhuppertz / Burned_Area_Detection
Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning
☆16Updated 3 years ago
Alternatives and similar repositories for Burned_Area_Detection:
Users that are interested in Burned_Area_Detection are comparing it to the libraries listed below
- Object-based land cover classification with Support Vector Machine for Google Earth Engine☆33Updated 6 years ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆23Updated last year
- ThomasWangWeiHong / Water-Body-Extraction-from-Very-High-Spatial-Resolution-Remote-Sensing-Data-Based-on-FCNsPython implementation of Convolutional Neural Network (CNN) proposed in academia☆24Updated 5 years ago
- An LSTM to generate a crop mask for Togo☆28Updated 4 years ago
- Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for c…☆17Updated 2 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 2 years ago
- Remote sensing image processing commonly used in deep learning + change detection☆24Updated last year
- Remote sensing and spatial analysis tools for Google Earth Engine☆26Updated 2 years ago
- Tensorfolw code for" Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on Multiscale Feature Connected Convol…☆14Updated 4 years ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆15Updated last year
- Codebase for land cover classification with U-Net☆19Updated 6 years ago
- A Python library for extraction water areas as shapefile extension from Sentinel 2A Satellite Images.☆9Updated 3 years ago
- This repository provides a way to extract water bodies using deep learning methods in GEE.☆32Updated 2 years ago
- Sentinel 1 pipeline using SNAP GPT 7.0☆38Updated 2 years ago
- using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data☆12Updated 4 years ago
- ☆12Updated 3 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆16Updated 5 years ago
- Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, …☆14Updated 2 years ago
- Sentinel-1 and Sentinel-2 land classification over Finland using sklearn Random Forest and SNAP☆11Updated 6 years ago
- This project aims to perform waterbodies segmentation of Toushka lakes, located in the southern desert of Egypt. The segmentation task is…☆11Updated 4 months ago
- Translating Landsat 8 to Sentinel-2 using a GAN☆22Updated 4 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 2 years ago
- geospatial-study☆27Updated 8 months ago
- ☆32Updated last year
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆29Updated 7 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated last month
- Automated label production model and crop classification model based on GEDI data built on GEE (Google Earth Engine),☆12Updated last year
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆60Updated last year
- Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.☆15Updated 2 years ago
- Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel☆19Updated 3 years ago