Ricardo-C-Oliveira / coastline-extraction
Methods to identify and extract coastline from remote sensed data.
☆9Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for coastline-extraction
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆31Updated 5 years ago
- Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…☆10Updated last month
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆15Updated 3 years ago
- ☆10Updated this week
- Deep learning tutorials using Orfeo ToolBox and TensorFlow☆18Updated 3 years ago
- Progress towards global asset localisation using remote sensing and computer vision, beginning with solar PV.☆19Updated 4 years ago
- This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysi…☆8Updated 3 years ago
- 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
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 2 years ago
- Shoreline extraction via generative adversarial networks, prediction via LSTMs☆22Updated last year
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- This project aims to perform waterbodies segmentation of Toushka lakes, located in the southern desert of Egypt. The segmentation task is…☆9Updated last month
- RiverSnap - estimation of river hydraulic parameters using machine learning/AI models☆11Updated 4 months ago
- 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
- Starter-pack for the AI4EO Food Security Challenge☆21Updated last year
- All the useful tools I have been using while working in data science for remote sensing☆11Updated 4 years ago
- Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches☆11Updated 4 years ago
- Qgis processing plugin for image co-registration; projection and pixel alignment based on a target image☆12Updated 4 months ago
- Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by …☆10Updated 2 years ago
- Forest fire prediction powered by analytics☆15Updated last year
- Deep learning for multi-modal classification of cloud, shadow and land cover scenes in high-resolution satellite imagery☆10Updated 5 years ago
- Landslide Detection from satellite imagery☆9Updated 2 years ago
- Sentinel-2 Cloud and Shadow Detection using Machine Learning☆14Updated 4 years ago
- Image segmentation on multispectral images by using k-means.☆11Updated 5 years ago
- This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows…☆27Updated last year
- Scalable workflow for crop boundary delineation using pre-trained deep learning model☆10Updated last year
- Detecting region lithology using deep learning and remote sensing☆10Updated 2 years ago
- ☆12Updated 3 years ago
- ☆24Updated 4 years ago