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DROACOR ® -THERMAL: AUTOMATED TEMPERATURE / EMISSIVITY RETRIEVAL FOR DRONE BASED HYPERSPECTRAL IMAGING DATA

Schläpfer, D. ; Richter, R. ; Popp, C. ; Nygren, P.

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.429-434 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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Título:
DROACOR ® -THERMAL: AUTOMATED TEMPERATURE / EMISSIVITY RETRIEVAL FOR DRONE BASED HYPERSPECTRAL IMAGING DATA
Autor: Schläpfer, D. ; Richter, R. ; Popp, C. ; Nygren, P.
Assuntos: Aerosols ; Analytical methods ; Archives & records ; Atmospheric correction ; Automation ; Cold ; Data acquisition ; Drone aircraft ; Drone vehicles ; Emissivity ; Hyperspectral imaging ; Imaging techniques ; Infrared imaging ; Mapping ; Mineral exploration ; Remote sensing ; Retrieval ; Sensors ; Spectrum analysis ; Temperature ; Thermal imaging ; Unmanned aerial vehicles
É parte de: International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.429-434
Descrição: Thermal remote sensing from unmanned aerial vehicles is a slowly but steadily growing field of application. New hyperspectral systems operating in the thermal infrared are deployable on such systems and are also usable for ground based monitoring, such as in mining applications. Temperature/emissivity retrieval methods have to be adapted for these new situations. This contribution presents an extension of the Drone Atmospheric Correction method (DROACOR®) for thermal infrared imaging spectroscopy. The method includes an implementation of the semi-automatic normalized emissivity mapping (NEM) method for temperature/ emissivity separation. Furthermore, an extension of the method for correction of low emissivity targets, appearing as cold targets in the temperature mapping is introduced. Two examples of DROACOR-thermal processing are presented for a nadir looking drone based and a horizontal ground based data acquisitions are shown. The resulting spectral emissivitiy distributions and temperature mappings are plausible. They are well comparable to spectral library references and allow for the detection of materials only visible in the thermal infrared range.
Editor: Gottingen: Copernicus GmbH
Idioma: Inglês

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DROACOR ® -THERMAL: AUTOMATED TEMPERATURE / EMISSIVITY RETRIEVAL FOR DRONE BASED HYPERSPECTRAL IMAGING DATA

Schläpfer, D. ; Richter, R. ; Popp, C. ; Nygren, P.

Gottingen: Copernicus GmbH

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