Abdallah-M-Ali / Mineral-Prospectivity-Mapping-MLLinks
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
☆30Updated 2 years ago
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
Sorting:
- Detecting region lithology using deep learning and remote sensing☆13Updated 3 years ago
- ☆45Updated 4 years ago
- Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.☆91Updated 4 months ago
- Weights-of-evidence based mineral prospectivity modelling in QGIS☆18Updated 2 years ago
- A Python package for Remote Sensing Data Analysis☆126Updated last year
- source code for google earth engine mapping routines☆36Updated last year
- Sentinel 1 pipeline using SNAP GPT 7.0☆39Updated 3 years ago
- Python 3.X scripts for remote sensing processing☆44Updated 2 years ago
- a deep model that segments water on multispectral images☆154Updated 2 years ago
- The STARFM fusion model for Python☆146Updated 2 years ago
- ☆58Updated 2 years ago
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆34Updated last year
- A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population☆74Updated 6 years ago
- Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engin…☆45Updated 4 years ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆48Updated last year
- Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts☆131Updated 4 years ago
- This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation…☆42Updated last year
- A set of notebook tutorials for RSGISLib.☆45Updated last year
- Machine learning tool to detect landslides from optical satellite imagery☆117Updated 3 years ago
- an integrated open mineral spectral library from shared libraries (USGS,JHU,JPL,ASU,MISA, etc.) and measurement spectra in our own labor…☆22Updated 3 years ago
- Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine☆57Updated 5 years ago
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆62Updated last year
- A Python package for Remote Sensing Data Analysis☆235Updated 2 months ago
- Landslide susceptibility mapping using Machine Learning - A Danish case study☆56Updated 3 years ago
- This repository contains the classification module of the WorldCereal system.☆79Updated last week
- A deep learning model for surface water mapping based on satellite optical image.☆114Updated 4 years ago
- This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust…☆178Updated 3 months ago
- Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm☆86Updated 2 years ago
- ☆60Updated last year
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 4 months ago