High speed VNIR/SWIR HSI sensor for vegetation trait mapping

Julia R. Dupuis; S. Chase Buchanan; Stephanie Craig; J. D. Rameau; David Mansur

doi:10.1117/12.2518114

14 May 2019 High speed VNIR/SWIR HSI sensor for vegetation trait mapping

Julia R. Dupuis, S. Chase Buchanan, Stephanie Craig, J. D. Rameau, David Mansur

Proceedings Volume 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV; 109861F (2019) https://doi.org/10.1117/12.2518114
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

A high-speed visible/near infrared, shortwave infrared (VNIR/SWIR) hyperspectral imaging (HSI) sensor for airborne, dynamic, spatially-resolved vegetation trait measurements in support of advanced terrestrial modeling is presented. The VNIR/SWIR-HSI sensor employs a digital micromirror device as an agile, programmable entrance slit into VNIR (0.5–1μm) and SWIR (1.2–2.4μm) grating spectrometer channels, each with a two-dimensional focal plane array. The sensor architecture, realized in a 13 lb package, is specifically tailored for deployment on a small rotary wing (hovering) unmanned aircraft system (UAS). The architecture breaks the interdependency between aircraft speed, frame rate, and spatial resolution characteristic of push-broom HSI systems. The approach enables imaging while hovering as well as flexible revisit and/or foveation over a region of interest without requiring cooperation by the UAS. Hyperspectral data cubes are acquired on the second timescale which alleviates the position accuracy requirements on the UAS’s GPS-IMU. The sensor employs a simultaneous and boresighted visible context imager for pan sharpening and orthorectification. The data product is a 384×290 (spatial) ×340 (spectral) format calibrated, orthorectified spectral reflectivity data cube with a 26×20° field of view. The development, characterization, and a series of capability demonstrations of an advanced prototype VNIR/SWIR HSI sensor are presented. Capability demonstrations include ground-based testing as well as flight testing from a commercial rotary wing UAS with remote operation of the HSI sensor via a dedicated ground station.

Conference Presentation

Citation Download Citation

Julia R. Dupuis, S. Chase Buchanan, Stephanie Craig, J. D. Rameau, and David Mansur "High speed VNIR/SWIR HSI sensor for vegetation trait mapping", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861F (14 May 2019); https://doi.org/10.1117/12.2518114

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