Evaluation of Approaches for Identifying Mining Activity through Hyperspectral Imagery and Geographic Information Systems (GIS)

The task of identifying mining activity through hyperspectral imagery and GIS data involves evaluating various software tools and methodologies to ensure accurate results. This work explores key technologies, such as Spectral Python, HyperSpy, and MAT

Authors

Nishi Enos Fernin Tadamalla

Institutions

Wilmington University (US)

Publication Details

Published: 2025-10-02
DOI: https://doi.org/10.36227/techrxiv.175941974.46935612/v1
Primary Topic: Mineral Processing and Grinding
Type: article
Field-Weighted Citation Impact: 0.00

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article

Evaluation of Approaches for Identifying Mining Activity through Hyperspectral Imagery and Geographic Information Systems (GIS)

Nishi Enos Fernin Tadamalla

Oct 2, 2025

Mineral Processing and Grinding

article

Evaluation of Approaches for Identifying Mining Activity through Hyperspectral Imagery and Geographic Information Systems (GIS)

Nishi Enos Fernin Tadamalla

October 2, 2025article en

Abstract

Wilmington University (US)

Openalex Percentile: Top 72%

Mineral Processing and Grinding

DOI Open Access PDF OpenAlex

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Evaluation of Approaches for Identifying Mining Activity through Hyperspectral Imagery and Geographic Information Systems (GIS) — Nishi Enos Fernin Tadamalla · (2025) | TGRS Research Map | TGRS