@inproceedings{daeec464d08c4ba0b7e74a1c19815dc6,
title = "Mineral mapping of makhtesh ramon in Israel using hyperspectral remote sensing day and night LWIR images",
abstract = "Hyperspectral remote sensing in the thermal infrared region has been acknowledged as an innovative tool for earth environmental studies that complements the optical spectral region. The current study focuses on mapping surface mineral content using day and night airborne data in the longwave infrared (LWIR) spectral region over a well-known mineralogical site in Israel. Data were acquired with the AisaOWL hyperspectral sensor over Makhtesh Ramon in the Negev desert in southern Israel. Major minerals could be identified by locating similarities in day and night atsensor radiance spectra. The analysis resulted in the classification of quartz, carbonates, gypsum, kaolinite and other silicates according to their observed spectral features in both day and night data.",
keywords = "AisaOWL sensor, Hyperspectral remote sensing, LWIR spectral region, Mineral mapping",
author = "Gila Notesco and {Ben Dor}, Eyal and Anna Brook",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 ; Conference date: 24-06-2014 Through 27-06-2014",
year = "2014",
month = jun,
day = "28",
doi = "10.1109/WHISPERS.2014.8077538",
language = "الإنجليزيّة",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "IEEE Computer Society",
booktitle = "2014 6th Workshop on Hyperspectral Image and Signal Processing",
address = "الولايات المتّحدة",
}