Airborne Platforms to Advance NASA Earth System Science Priorities Assessing the Future Need for a Large Aircraft (2021) / Chapter Skim
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References
References
Pages 147-172
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Geophysical Research Letters 44(1)
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2008. Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR.
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Geophysical Research Letters 26(4)
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2014. Observations of atmospheric boundary layer temperature profiles with a small unmanned aerial vehicle.
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2012. Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system.
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2019. Mapping water surface elevation and slope in the Mississippi River Delta using the AirSWOT Ka-Band interferometric synthetic aperture radar.
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2018. Retrieving structural and chemical properties of individual tree crowns in a highly diverse tropical forest with 3D radiative transfer modeling and imaging spectroscopy.
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2018. Modelling forest canopy height by integrating airborne LiDAR samples with satellite radar and multispectral imagery.
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mission: Design, execution, and first results. Atmospheric Chemistry and Physics 10(11)
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Bulletin of the American Meteorological Society 98(1)
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2019. 100 years of progress in mesoscale planetary boundary layer meteorological research.
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during SEAC4RS: Emissions of trace gases and particles and evolution of ozone, reactive nitrogen, and organic aerosol. Journal of Geophysical Research: Atmospheres 121(12)
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Bulletin of the American Meteorological Society:1-92. https://doi.org/10.1175/BAMS-D-20-0132.1.
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2020. Monitoring LAI, chlorophylls, and carotenoids content of a woodland savanna using hyperspectral imagery and 3D radiative transfer modeling.
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nasa.gov/tracker/#status/N817NA. NASA Earth Science Airborne Program.
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2015. Remote sensing of phytoplankton functional types in the coastal ocean from the HyspIRI Preparatory Flight Campaign.
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1994. Mapping biomass of a northern forest using multifrequency SAR data.
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2011. Mapping plant functional types at multiple spatial resolutions using imaging spectrometer data.
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2017. How to predict plant functional types using imaging spectroscopy: Linking vegetation community traits, plant functional types and spectral response.
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Washington, DC: NASA Earth Science Division. https://science.nasa.gov/science pink/s3fs-public/atoms/files/ESD-DS-Community-Forum-July-16-2020 FINAL.pdf.
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Presented at 2010 IEEE International Geoscience and Remote Sensing Symposium, 25-30 July 2010. Sutterley, T
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2010. Remote sensing of plant functional types.
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Bulletin of the American Meteorological Society 99(5)
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Bulletin of the American Meteorological Society 76(11)
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2008. The tropical forest and fire emissions experiment: Laboratory fire measurements and synthesis of campaign data.
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2013. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing.
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