Journal ArticleDOI
Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems
Gregory P. Asner,David E. Knapp,Ty Kennedy-Bowdoin,Matthew O. Jones,Roberta E. Martin,Joseph W. Boardman,Christopher B. Field +6 more
TLDR
The Carnegie Airborne Observatory (CAO) provides in-flight fusion of high-fidelity visible/near-infrared imaging spectrometer data with scanning, waveform light detection and ranging (wLiDAR) data, along with an integrated navigation and data processing approach, that results in geo-orthorectified products for vegetation structure, biochemistry and physiology as well as the underlying topography.Abstract:
Airborne remote sensing could play a more integrative role in regional ecosystem studies if the information derived from airborne observations could be readily converted to physical and chemical quantities representative of ecosystem processes and properties. We have undertaken an effort to specify, deploy, and apply a new system - the Carnegie Airborne Observatory (CAO) - to remotely measure a suite of ecosystem structural and biochemical properties in a way that can rapidly advance regional ecological research for conservation, management and resource policy development. The CAO "Alpha System" provides in-flight fusion of high-fidelity visible/near-infrared imaging spectrometer data with scanning, waveform light detection and ranging (wLiDAR) data, along with an integrated navigation and data processing approach, that results in geo-orthorectified products for vegetation structure, biochemistry, and physiology as well as the underlying topography. Here we present the scientific rationale for developing the system, and provide sample data fusion results demonstrating the potential breakthroughs that hybrid hyperspectral-wLiDAR systems might bring to the scientific community.read more
Citations
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Journal ArticleDOI
High-resolution forest carbon stocks and emissions in the Amazon
Gregory P. Asner,George V. N. Powell,Joseph Mascaro,David E. Knapp,John K. Clark,James Jacobson,Ty Kennedy-Bowdoin,Aravindh Balaji,Guayana Paez-Acosta,Eloy Victoria,Laura Secada,Michael Valqui,R. Flint Hughes +12 more
TL;DR: Very high-resolution monitoring reduces uncertainty in carbon emissions for REDD programs while uncovering fundamental environmental controls on forest carbon storage and their interactions with land-use change.
Journal ArticleDOI
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
TL;DR: Although ALS is capable of providing more accurate estimates of the vertical structure of forests across the larger range of canopy densities found in this study, SfM was still found to be an adequate low-cost alternative for surveying of forest stands.
Journal ArticleDOI
Remote sensing of plant functional types
Susan L. Ustin,John A. Gamon +1 more
TL;DR: A new concept of optically distinguishable functional types ('optical types') is proposed as a unique way to address the scale dependence of this problem and ensure more direct relationships between ecological information and remote sensing observations.
Journal ArticleDOI
Urban tree species mapping using hyperspectral and lidar data fusion
TL;DR: In this article, the authors fused high-spatial resolution hyperspectral imagery with 22 pulse/m 2 lidar data at the individual crown object scale to map 29 common tree species in Santa Barbara, California, USA.
Journal ArticleDOI
Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels
TL;DR: In this article, the relationship between canopy reflectance and foliar properties under conditions of varying canopy structure has been investigated using airborne imaging spectroscopy data collected from 162 Australian tropical forest species, along with partial least squares analysis and canopy radiative transfer modeling.
References
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Journal ArticleDOI
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Daniel A. Sims,John A. Gamon +1 more
TL;DR: Developing spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration are developed.
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Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
Robert O. Green,Michael L. Eastwood,Charles M. Sarture,Thomas G. Chrien,Mikael Aronsson,Bruce J Chippendale,Jessica Faust,Betina Pavri,Christopher J Chovit,Manuel Solis,Martin R Olah,Orlesa Williams +11 more
TL;DR: The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was the first imaging sensor to measure the solar reflected spectrum from 400 nm to 2500 nm at 10 nm intervals as mentioned in this paper.
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Lidar Remote Sensing for Ecosystem Studies
TL;DR: Lidar has been shown to accurately estimate aboveground biomass and leaf area index even in those high-biomass ecosystems where passive optical and active radar sensors typically fail to do so as discussed by the authors.
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Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
TL;DR: Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated and it was shown that reciprocal reflectance (R lambda)-1 in the spectral range lambda related closely to the total chlorophyll content in leaves of all species.
Journal ArticleDOI
Remote sensing of foliar chemistry
TL;DR: In this article, stepwise multiple regression and deconvolution have been used to extract chemical information from foliar spectra, and concludes that both methods are useful, but neither is ideal.