Abdallah-M-Ali / Mineral-Prospectivity-Mapping-ML
Application of Machine Learning to map mineral prospectivity using remote sensing and geological data. This research project select four supervised learning methods (RF, SVM, ANN, and CNN) to predict gold prospection in Hamassana area north east Sudan
☆22Updated last year
Alternatives and similar repositories for Mineral-Prospectivity-Mapping-ML:
Users that are interested in Mineral-Prospectivity-Mapping-ML are comparing it to the libraries listed below
- ☆40Updated 3 years ago
- Python 3.X scripts for remote sensing processing☆44Updated last year
- Wall-to-Wall Above-ground Biomass Estimation with ALOS-2 PALSAR-2 L-Band SAR Data and GEDI☆20Updated last month
- 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
- Land use classification or Landform Mapping on big remote sensing imagery. Specifically, this repo is to delineate landforms due to the t…☆42Updated last week
- Landslide detection using Random Forest model☆17Updated 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
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆29Updated 7 months ago
- ☆52Updated last year
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆45Updated 6 months ago
- A QGIS plugin to generate polarimetric SAR descriptors.☆36Updated 4 months ago
- Hyperspectral image processing library☆59Updated last week
- Sentinel 1 pipeline using SNAP GPT 7.0☆38Updated 2 years ago
- ☆27Updated 2 years ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆49Updated 3 years ago
- Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.☆79Updated 3 years ago
- Translating Landsat 8 to Sentinel-2 using a GAN☆22Updated 4 years ago
- Remote sensing and spatial analysis tools for Google Earth Engine☆26Updated 2 years ago
- Introduction to convolutional neural networks (CNNs) with a remote sensing example.☆27Updated 5 years ago
- Object-based Image Analysis (OBIA)☆22Updated 2 years ago
- Detecting region lithology using deep learning and remote sensing☆10Updated 3 years ago
- Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data☆11Updated 3 months ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆38Updated 4 years ago
- Object-based land cover classification with Support Vector Machine for Google Earth Engine☆33Updated 6 years ago
- Automated label production model and crop classification model based on GEDI data built on GEE (Google Earth Engine),☆12Updated last year
- This repository provides a way to extract water bodies using deep learning methods in GEE.☆32Updated 2 years ago
- ☆32Updated last year
- Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.☆99Updated 3 months ago
- Land Cover Classification based on Landsat-8 imagery from Google Earth Engine☆54Updated 3 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 2 years ago