Remote-Sensing-for-Mineral-Exploration-Demo

Remote sensing python skills demonstration

Contact and Professional Information

For any inquiries or professional connections, fill free to reach out to me.

Background: Remote Sensing Data Scientist and Algorithm Developer with expertise in ML/DL models, data engineering, and satellite imaging.

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Note: This project is part of my professional portfolio at Weizmann Institute of Science and TierraSpec and showcases skills relevant to mineral exploration, space science and agri-tech applications.

Geospatial Analysis of Cuprite Nevada for Mineral Exploration Using Hyperspectral Imaging Processing

This repository contains a Jupyter notebook that demonstrates a basic geospatial analysis for mineral exploration in the Cuprite Nevada area. The analysis focuses on processing and analyzing hyperspectral satellite imagery, spectroscopy and geospatial data to identify potential areas for mineral exploration.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Installing

Clone the repository

Prerequisites

pip install -r requierements.txt

Data Preparation

1. Download the required data of EnMAP satellite (hyperspectral) from the provided link: Download Data
2. Unzip the file into the Data/Cuprite Nevada folder within this repository.

Running the Notebook

Run the Example.ipynb Jupyter notebook: