Abstract
Abstract. Imaging with a conventional frame camera from a moving remotely piloted aircraft system (RPAS) is by design very inefficient. Less than 1 % of the flying time is used for collecting light. This unused potential can be utilized by an innovative imaging concept, the spatio-spectral camera. The core of the camera is a frame sensor with a large number of hyperspectral filters arranged on the sensor in stepwise lines. It combines the advantages of frame cameras with those of pushbroom cameras. By acquiring images in rapid succession, such a camera can collect detailed hyperspectral information, while retaining the high spatial resolution offered by the sensor. We have developed two versions of a spatio-spectral camera and used them in a variety of conditions. In this paper, we present a summary of three missions with the in-house developed COSI prototype camera (600–900 nm) in the domains of precision agriculture (fungus infection monitoring in experimental wheat plots), horticulture (crop status monitoring to evaluate irrigation management in strawberry fields) and geology (meteorite detection on a grassland field). Additionally, we describe the characteristics of the 2nd generation, commercially available ButterflEYE camera offering extended spectral range (475–925 nm), and we discuss future work.
Highlights
1.1 Frame imagers for RPASRapid advancement in small remotely piloted aircraft systems (RPAS) and corresponding cameras has generated enormous growth in local earth observation imaging, opening many opportunities, e.g. in vegetation monitoring and precision agriculture
We have developed two versions of a spatio-spectral camera and used them in a variety of conditions
We present a summary of three missions with the in-house developed COSI prototype camera (600 – 900 nm) in the domains of precision agriculture, horticulture and geology
Summary
S. Livens1, K. Pauly1, P. Baeck1 , J. Blommaert1, D. Nuyts1, J. Zender2, B. Delauré1 1 VITO; Flemish Institute for Technological Research, Mol, Belgium - KEY WORDS: Hyperspectral imaging, spatio-spectral camera, stepwise line filters, band co-registration, RPAS, precision agriculture, horticulture, geology
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