Integration of Hyperspectral Shortwave and Longwave Infrared Remote-Sensing Data for Mineral Mapping of Makhtesh Ramon in Israel

Remote Sensing

Gila Notesco¹  Eyal Ben-Dor¹  Yaron Ogen¹ 

[1] Remote Sensing Laboratory, Tel Aviv University, Tel Aviv 69978, Israel;

关键词: hyperspectral remote sensing;    reflected infrared region;    thermal infrared region;    Makhtesh Ramon;    mineral mapping;   

DOI  :  10.3390/rs8040318

来源: DOAJ

【 摘 要 】

Hyperspectral remote-sensing in the reflected infrared and thermal infrared regions offers a unique and efficient alternative for mineral mapping, as most minerals exhibit spectral features in these regions, mainly in the shortwave and longwave infrared. Airborne hyperspectral data in both spectral regions, acquired with the AisaFENIX and AisaOWL (Specim) sensors over Makhtesh Ramon in Israel, were analyzed. Calculating the reflectance and emissivity spectra of each pixel in the shortwave infrared and longwave infrared region images, respectively, and determining mineral indices enabled identifying the dominant minerals in this area—kaolinite, calcite, dolomite, quartz, feldspars and gypsum—and mapping their spatial distribution in the surface. The benefit of using hyperspectral data from both reflected infrared and thermal infrared regions to improve mineral identification was demonstrated.

【 授权许可】

Unknown