Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: Parametric orthorectification

Schläpfer, Daniel; Richter, R.

doi:10.1080/01431160110115825

Cited by 199 publications

(112 citation statements)

References 12 publications

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“…Integration times and frame rates during the experiment varied between 10 and 100 ms and 9 to 35 Hz respectively. Flight altitude, frame rate, and speed during the experiment resulted in pixel sizes of between 1 and 5 m in along-track and 0.2 and 1.0 m in cross-track direction which were then resampled to 1 × 1 m square UTM (Universal Transverse Mercator) grid pixels during geolocation, which was performed with IDL/PARGE [34]. Position and attitude information were collected at 10 Hz with an integrated system manufactured by Systron Donner, Concord, USA, model: CMIGITS-III.…”

Section: Visible Airborne Imagery Of the Dyementioning

confidence: 99%

Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East

et al. 2018

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This study takes on the challenge of resolving upper ocean surface currents with a suite of airborne remote sensing methodologies, simultaneously imaging the ocean surface in visible, infrared, and microwave bands. A series of flights were conducted over an air-sea interaction supersite established 63 km offshore by a large multi-platform CASPER-East experiment. The supersite was equipped with a range of in situ instruments resolving air-sea interface and underwater properties, of which a bottom-mounted acoustic Doppler current profiler was used extensively in this paper for the purposes of airborne current retrieval validation and interpretation. A series of water-tracing dye releases took place in coordination with aircraft overpasses, enabling dye plume velocimetry over 100 m to 10 km spatial scales. Similar scales were resolved by a Multichannel Synthetic Aperture Radar, which resolved a swath of instantaneous surface velocities (wave and current) with 10 m resolution and 5 cm/s accuracy. Details of the skin temperature variability imprinted by the upper ocean turbulence were revealed in 1-14,000 m range of spatial scales by a mid-wave infrared camera. Combined, these methodologies provide a unique insight into the complex spatial structure of the upper ocean turbulence on a previously under-resolved range of spatial scales from meters to kilometers. However, much attention in this paper is dedicated to quantifying and understanding uncertainties and ambiguities associated with these remote sensing methodologies, especially regarding the smallest resolvable turbulent scales and reference depths of retrieved currents.Keywords: airborne remote sensing; ocean surface currents; upper ocean turbulence BackgroundCapabilities for spatial measurements of ocean surface turbulence are highly desirable for a wide variety of needs ranging from basic studies of upper ocean mixing processes to data assimilation into high-resolution coastal and ocean circulation models. On the global scale, presently available observations of the ocean currents are provided by satellite altimeters, which are limited to mesoscales and resolve only the geostrophic component of the surface current. Much anticipated launches of the

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Section: Visible Airborne Imagery Of the Dyementioning

confidence: 99%

Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East

et al. 2018

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“…This sensor measures radiance in 126 bands over the 0.44-2.5 µm spectral region with a spectral bandwidth between 10 and 20 nm. The operational altitude of 3,000 m resulted in a spatial resolution of 5 m. Images were orthorectified using the PARGE software [33] in combination with 15 differential GPS measurements (accuracy ~0.5 m). Errors of the rectified images were less than 1 pixel (<5.0 m) in x-and y-direction.…”

Section: Image Acquisitionmentioning

confidence: 99%

Mapping Bush Encroaching Species by Seasonal Differences in Hyperspectral Imagery

et al. 2010

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Bush encroachment is a form of land degradation prominent worldwide, but particularly present in semi-arid areas. In this study, we mapped the spatial distribution of the two encroacher species, Acacia mellifera and Acacia reficiens, in Central Namibia, based on their different phenological behavior. We used constrained principal curves to extract a one dimensional gradient of phenological change from two hyperspectral images taken in different seasons. Field measurements of species composition and cover values were statistically related to bi-temporal differences in hyperspectral vegetation indices in a direct gradient analysis. The extracted gradient reflected the relationship between species composition and cover values, and the phenological pattern as captured by the image data. Cover values of four dominant plant species were mapped and species responses along the phenological gradient were interpreted.

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“…Since the development of ATREM, several packages have also been developed for atmospherically correcting multi-and hyperspectral data, including High-accuracy ATmospheric Correction for Hyperspectral Data (HATCH) [10], Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) [11,12] and a series of Atmospheric and Topographic Correction (ATCOR) codes [13,14].…”

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confidence: 99%

On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data

et al. 2014

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The first airborne hyperspectral campaign in the Antarctic Peninsula region was carried out by the British Antarctic Survey and partners in February 2011. This paper presents an insight into the applicability of currently available radiative transfer modelling and atmospheric correction techniques for processing airborne hyperspectral data in this unique coastal Antarctic environment. Results from the Atmospheric and Topographic Correction version 4 (ATCOR-4) package reveal absolute reflectance values somewhat in line with laboratory measured spectra, with Root Mean Square Error (RMSE) values of 5% in the visible near infrared (0.4-1 µm) and 8% in the shortwave infrared (1-2.5 µm). Residual noise remains present due to the absorption by atmospheric gases and aerosols, but certain parts of the spectrum match laboratory measured features very well. This study demonstrates that commercially available packages for carrying out atmospheric correction are capable of correcting airborne hyperspectral data in the challenging environment present in Antarctica. However, it is anticipated that future results from atmospheric correction could be improved Remote Sens. 2014, 6 4499 by measuring in situ atmospheric data to generate atmospheric profiles and aerosol models, or with the use of multiple ground targets for calibration and validation.

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Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: Parametric orthorectification

Cited by 199 publications

References 12 publications

Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East

Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East

Mapping Bush Encroaching Species by Seasonal Differences in Hyperspectral Imagery

On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data

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