Automate Lithological Classification of the Amotape Tahuin Metamorphic Complex in Ecuador using Random Forest and a Multi-Sensor Satellite Imagery Approach
| Autor: | Sangucho Carmen, Lima Aracely, Betancourt Franz, Bustos Marielisa, Munoz Erith, Zozaya Alfonso, Toctaguano Daniel, Enriquez Jhonatan, Parra Victor |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
Regional geology 010504 meteorology & atmospheric sciences Lithology Metamorphic rock Context (language use) 010502 geochemistry & geophysics 01 natural sciences Random forest Remote sensing (archaeology) Satellite imagery Geology 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9323942 |
| Popis: | In this paper, a methodological approach to classify lithology features using random forest and multisensor satellite imagery is presented. The incorporation of remote sensing techniques into regional geology mapping is important in order to make possible the implementation of monitoring strategies aimed to enhance national capabilities to provide information for natural disasters management, sustainable exploitation of natural resources, etc. In this context, the use of both optical/infrared and multi-wavelength synthetic aperture radar satellite data was evaluated in order to train a random forest algorithm, taking as reference field data, to generate a lithological map. Preliminary results have shown the capability of this approach to lithological classification with accuracies values higher than 80% in some conditions to map sedimentary, igneous, and metamorphic lithological classes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|