Spectral signature mapping and deep learning detection of Frankincense (Boswellia Sacra) using worldview-3 imagery
Yaseen Al-Mulla · 2026
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Description
A peer-reviewed research article from Europe PMC (2026). The identification of plant species in arid ecosystems relies on spectral signatures that capture their reflectance properties. Despite the ecological and economic importance of the Frankincense tree (Boswellia sacra), its spectral characteristics remain underexplored in remote sensing applications. This study presents a spectral characterization of Frankincense using field spectra collected with an Analytical Spectral Devices (ASD) spectroradiometer (350–2,500 nm) and validated with WorldView-3 (WV3) multispectral imagery in Oman’s Dhofar region.
Catalog record
| CREATOR | Yaseen Al-Mulla |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |