Direct reflectance measurements from drones: sensor absolute radiometric calibration and system tests for forest reflectance characterization

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dc.contributor.author Hakala, Teemu
dc.contributor.author Markelin, Lauri
dc.contributor.author Honkavaara, Eija
dc.contributor.author Scott, Barry
dc.contributor.author Theocharous, Theo
dc.contributor.author Nevalainen, Olli
dc.contributor.author Näsi, Roope
dc.contributor.author Suomalainen, Juha
dc.contributor.author Viljanen, Niko
dc.contributor.author Greenwell, Claire
dc.contributor.author Fox, Nigel
dc.date.accessioned 2018-10-22T11:09:40Z
dc.date.available 2018-10-22T11:09:40Z
dc.date.issued 2018
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10138/252448
dc.description.abstract Drone-based remote sensing has evolved rapidly in recent years. Miniaturized hyperspectral imaging sensors are becoming more common as they provide more abundant information of the object compared to traditional cameras. Reflectance is a physically defined object property and therefore often preferred output of the remote sensing data capture to be used in the further processes. Absolute calibration of the sensor provides a possibility for physical modelling of the imaging process and enables efficient procedures for reflectance correction. Our objective is to develop a method for direct reflectance measurements for drone-based remote sensing. It is based on an imaging spectrometer and irradiance spectrometer. This approach is highly attractive for many practical applications as it does not require in situ reflectance panels for converting the sensor radiance to ground reflectance factors. We performed SI-traceable spectral and radiance calibration of a tuneable Fabry-Pérot Interferometer -based (FPI) hyperspectral camera at the National Physical Laboratory NPL (Teddington, UK). The camera represents novel technology by collecting 2D format hyperspectral image cubes using time sequential spectral scanning principle. The radiance accuracy of different channels varied between ±4% when evaluated using independent test data, and linearity of the camera response was on average 0.9994. The spectral response calibration showed side peaks on several channels that were due to the multiple orders of interference of the FPI. The drone-based direct reflectance measurement system showed promising results with imagery collected over Wytham Forest (Oxford, UK). fi
dc.language.iso en fi
dc.publisher MDPI fi
dc.relation.ispartofseries Sensors fi
dc.subject radiometric calibration fi
dc.subject spectral calibration fi
dc.subject imaging spectrometer fi
dc.subject radiance fi
dc.subject reflectance fi
dc.subject drone fi
dc.subject UAV fi
dc.subject hyperspectral fi
dc.title Direct reflectance measurements from drones: sensor absolute radiometric calibration and system tests for forest reflectance characterization fi
dc.type Artikkeli lehdessä fi
dc.format.volume 18 fi
dc.format.issue 5 fi

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