waldeland / deep_learning_forest_monitoring
Estimate vegetation height from satellite images using deep learning.
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep_learning_forest_monitoring
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆15Updated 9 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated 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
- This repo is the solution for landslide4Sense challenge.☆33Updated 2 years ago
- Remote sensing and spatial analysis tools for Google Earth Engine☆26Updated 2 years ago
- Object-based Image Analysis (OBIA)☆22Updated 2 years ago
- Object-based land cover classification with Support Vector Machine for Google Earth Engine☆32Updated 5 years ago
- Landslide detection using Random Forest model☆17Updated 3 years ago
- An LSTM to generate a crop mask for Togo☆28Updated 3 years ago
- ☆39Updated 3 years ago
- This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.☆18Updated 3 years ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆21Updated 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☆23Updated 5 years ago
- Repository with the code used in the paper Landslide Segmentation with Unet: Evaluating Different Sampling Methods and Patch Sizes☆12Updated last year
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆31Updated 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 pipeline using SNAP GPT 7.0☆34Updated last year
- This repository contains codes and sample data from the journal paper "Rapid Mapping of landslide on SAR data by Attention U-net" by Nava…☆21Updated 2 years ago
- Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for c…☆15Updated last year
- Presents an optimised Sentinel-1-based Soil Moisture estimation workflow on tilted topography with permanent vegetation cover☆10Updated 2 years ago
- This repository presents the product of my master's thesis, which uses UNet to map deforestation using Sentinel-2 Level 2A images.☆18Updated 2 years ago
- RiverSnap - estimation of river hydraulic parameters using machine learning/AI models☆11Updated 4 months ago
- A random forest try on the landslide4sense challenge.☆9Updated 2 years ago
- Codebase for land cover classification with U-Net☆18Updated 5 years ago
- Starter notebook for AI4EO #MapYourCity challenge☆13Updated 7 months ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆39Updated last year
- Cloud masking for Landsat-8 & Sentinel-2☆34Updated 2 years ago
- Deep Learning algorithms applied to characterization of Remote Sensing time-series☆33Updated 5 years ago
- This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR …☆27Updated last month