Imaging spectrometer science measurements for Terrestrial Ecology: AVIRIS and new developments

Hamlin, Louise A.; Green, R. O.; Mouroulis, Pantazis; Eastwood, Michael L.; Wilson, Daniel W.; Dudik, Matthew J.; Paine, Chris

doi:10.1109/aero.2011.5747395

Cited by 104 publications

(74 citation statements)

References 4 publications

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“…The detection pipeline first transforms the frame (a single cross-track slice of data) to a calibrated radiance product (Green, 1998;Hamlin et al, 2011). We calculate radiance in W cm −2 nm −1 sr −1 at each cross-track spatial location c and A comparison of spectral shapes between the CH 4 transmission spectrum, resampled to AVIRIS-NG wavelengths, and the target signature t used for detection.…”

Section: Onboard Radiance Processingmentioning

confidence: 99%

“…COMEX exploited tactical remote measurements from multiple platforms. We focus on one participating instrument, the Airborne Visible Infrared Spectrometer -Next Generation (AVIRIS-NG) (Hamlin et al, 2011;Green et al, 1998), which mapped CH 4 enhancements in real time. A simple detection method based on a band ratio (BR) was sufficient to detect several sources and enhance the COMEX campaign.…”

Section: Introductionmentioning

confidence: 99%

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Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

et al. 2015

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Abstract. Localized anthropogenic sources of atmospheric CH 4 are highly uncertain and temporally variable. Airborne remote measurement is an effective method to detect and quantify these emissions. In a campaign context, the science yield can be dramatically increased by real-time retrievals that allow operators to coordinate multiple measurements of the most active areas. This can improve science outcomes for both single-and multiple-platform missions. We describe a case study of the NASA/ESA CO 2 and MEthane eXperiment (COMEX) campaign in California during June and August/September 2014. COMEX was a multi-platform campaign to measure CH 4 plumes released from anthropogenic sources including oil and gas infrastructure. We discuss principles for real-time spectral signature detection and measurement, and report performance on the NASA Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG). AVIRIS-NG successfully detected CH 4 plumes in realtime at Gb s −1 data rates, characterizing fugitive releases in concert with other in situ and remote instruments. The teams used these real-time CH 4 detections to coordinate measurements across multiple platforms, including airborne in situ, airborne non-imaging remote sensing, and groundbased in situ instruments. To our knowledge this is the first reported use of real-time trace-gas signature detection in an airborne science campaign, and presages many future applications. Post-analysis demonstrates matched filter methods providing noise-equivalent (1σ ) detection sensitivity for 1.0 % CH4 column enhancements equal to 141 ppm m.

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Section: Onboard Radiance Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

et al. 2015

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“…Our scattering model used the default 6s continental aerosol model, with an aerosol optical depth (AOD) of 0.15 set by coincident in situ measurements from a Reagan sunphotometer. As a final step in the retrieval, we compensated for oceanic sunglint by estimating the spectrally uniform glint contribution from the dark 1000 nm channel [Hochberg et al, 2011]. We compared retrieved R rs of bright and dark water targets to measurements by a HyperPro radiometer operated by a field team from the University of California (Santa Cruz).…”

Section: Experimental Evaluationmentioning

confidence: 99%

“…To test this possibility, we applied the new irradiance to data from the Next Generation Airborne Visible Near Infrared Spectrometer (AVIRIS-NG). AVIRIS-NG [Hamlin et al, 2010] is a full-range VSWIR spectrometer measuring 14 bit radiance from 380 to 2500 nm at 5 nm sampling. AVIRIS-NG flights took place in June 2014 over the Jet Propulsion Laboratory, an urban scene with multiple smooth reference targets.…”

Section: Processing Parameters Used Thuillier Et Almentioning

confidence: 99%

“…A growing family of spectrometers is designed specifically for coastal and inland water applications, including the NASA airborne Portable Remote Imaging Spectrometer (PRISM) [Mouroulis et al, 2014] that offers higher signal-to-noise ratio (SNR) and improved spectral resolution in the critical 380-600 nm range. Coastal applications raise special challenges, including low SNR due to strong absorption by coastal waters and the complex optical constituents; poor knowledge of path radiance due to atmospheric aerosols, complicated by the failure of traditional dark pixel constraints in the presence of sunglint, turbidity, or benthic reflections [Hochberg et al, 2011]; and calibration that relies on red-rich illumination standards [Kohler et al, 2004].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing irradiance estimates for coastal and inland water imaging spectroscopy

Thompson

Seidel

Gao

et al. 2015

Geophysical Research Letters

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Next generation orbital imaging spectrometers, with advanced global remote sensing capabilities, propose to address outstanding ocean science questions related to coastal and inland water environments. These missions require highly accurate characterization of solar irradiance in the critical 380–600 nm spectral range. However, the irradiance in this spectral region is temporally variable and difficult to measure directly, leading to considerable variance between different models. Here we optimize an irradiance estimate using data from the NASA airborne Portable Remote Imaging Spectrometer (PRISM), leveraging spectrally smooth in‐scene targets. We demonstrate improved retrievals for both PRISM and the Next Generation Airborne Visible Infrared Imaging Spectrometer.

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Spectral diversity area relationships for assessing biodiversity in a wildland–agriculture matrix

Dahlin

2016

Ecological Applications

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Species-area relationships have long been used to assess patterns of species diversity across scales. Here, this concept is extended to spectral diversity using hyperspectral data collected by NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) over western Michigan. This mixture of mesic forest and agricultural lands offers two end-points on the local-scale diversity continuum; one set of well-mixed forest patches and one set of highly homogeneous agricultural patches. Using the sum of the first three principal component values and the principal components' convex hull volume, spectral diversity was compared within and among these plots and to null expectations for perfectly random and perfectly patchy landscapes. Overall, the spectral diversity-area relationship confirms the patterns that would be expected for this landscape, but this application suggests that this approach could be extended to less well-understood landscapes and could reveal key insights about the relative importance of different drivers of community assembly, even in the absence of additional data about plant functional traits or species' identities.

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Imaging spectrometer science measurements for Terrestrial Ecology: AVIRIS and new developments

Cited by 104 publications

References 4 publications

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Optimizing irradiance estimates for coastal and inland water imaging spectroscopy

Spectral diversity area relationships for assessing biodiversity in a wildland–agriculture matrix

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