Characterization and mapping of hematite ore mineral classes using hyperspectral remote sensing technique: a case study from Bailadila iron ore mining region
| Autor: | Ibrahim Shaik, P. V. Nagamani, S. K. Begum, Narayan Kayet |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Absorption spectroscopy
General Chemical Engineering 0211 other engineering and technologies Iron oxide General Physics and Astronomy Mineralogy 02 engineering and technology engineering.material chemistry.chemical_compound 0202 electrical engineering electronic engineering information engineering General Materials Science Satellite imagery Absorption (electromagnetic radiation) 021101 geological & geomatics engineering General Environmental Science Mineral General Engineering Hyperspectral imaging Hematite Iron ore chemistry visual_art visual_art.visual_art_medium engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Geology |
| Zdroj: | SN Applied Sciences. 3 |
| ISSN: | 2523-3971 2523-3963 |
| DOI: | 10.1007/s42452-021-04213-3 |
| Popis: | The study demonstrates a methodology for mapping various hematite ore classes based on their reflectance and absorption spectra, using Hyperion satellite imagery. Substantial validation is carried out, using the spectral feature fitting technique, with the field spectra measured over the Bailadila hill range in Chhattisgarh State in India. The results of the study showed a good correlation between the concentration of iron oxide with the depth of the near-infrared absorption feature (R2 = 0.843) and the width of the near-infrared absorption feature (R2 = 0.812) through different empirical models, with a root-mean-square error (RMSE) between 60 wt% in most of the hematite ore samples, except banded hematite quartzite (BHQ) ( |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink