Towards an improved LAI collection protocol via simulated field-based PAR sensing
Abstract
In support of NASA’s next-generation spectrometer—the Hyperspectral Infrared Imager (HyspIRI)—we are working towards assessing sub-pixel vegetation structure from imaging spectroscopy data. Of particular interest is Leaf Area Index (LAI), which is an informative, yet notoriously challenging parameter to efficiently measure in situ. While photosynthetically-active radiation (PAR) sensors have been validated for measuring crop LAI, there is limited literature on the efficacy of PAR-based LAI measurement in the forest environment. This study (i) validates PAR-based LAI measurement in forest environments, and (ii) proposes a suitable collection protocol, which balances efficiency with measurement variation, e.g., due to sun flecks and various-sized canopy gaps. A synthetic PAR sensor model was developed in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model and used to validate LAI measurement based on first-principles and explicitly-known leaf geometry. Simulated collection parameters were adjusted to empirically identify optimal collection protocols. Furthermore, these collection protocols were then validated in the field by correlating PAR-based LAI measurement to the normalized difference vegetation index (NDVI) extracted from the “classic” Airborne Visible Infrared Imaging Spectrometer (AVIRIS-C) data (R2 was 0.61). The results indicate that our proposed collecting protocol is suitable for measuring the LAI of sparse forest (LAI < 3–5 (more »
- Authors:
-
- Rochester Institute of Technology, Rochester, NY (United States)
- Rochester Institute of Technology, Rochester, NY (United States); Univ. College London, London (United Kingdom)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1263884
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Sensors
- Additional Journal Information:
- Journal Volume: 16; Journal Issue: 7; Journal ID: ISSN 1424-8220
- Publisher:
- MDPI AG
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; HyspIRI; AVIRIS; DIRSIG; leaf area index; photosynthetically active radiation
Citation Formats
Yao, Wei, Van Leeuwen, Martin, Romanczyk, Paul, van Aardt, Jan, and Kelbe, David. Towards an improved LAI collection protocol via simulated field-based PAR sensing. United States: N. p., 2016.
Web. doi:10.3390/s16071092.
Yao, Wei, Van Leeuwen, Martin, Romanczyk, Paul, van Aardt, Jan, & Kelbe, David. Towards an improved LAI collection protocol via simulated field-based PAR sensing. United States. https://doi.org/10.3390/s16071092
Yao, Wei, Van Leeuwen, Martin, Romanczyk, Paul, van Aardt, Jan, and Kelbe, David. Thu .
"Towards an improved LAI collection protocol via simulated field-based PAR sensing". United States. https://doi.org/10.3390/s16071092. https://www.osti.gov/servlets/purl/1263884.
@article{osti_1263884,
title = {Towards an improved LAI collection protocol via simulated field-based PAR sensing},
author = {Yao, Wei and Van Leeuwen, Martin and Romanczyk, Paul and van Aardt, Jan and Kelbe, David},
abstractNote = {In support of NASA’s next-generation spectrometer—the Hyperspectral Infrared Imager (HyspIRI)—we are working towards assessing sub-pixel vegetation structure from imaging spectroscopy data. Of particular interest is Leaf Area Index (LAI), which is an informative, yet notoriously challenging parameter to efficiently measure in situ. While photosynthetically-active radiation (PAR) sensors have been validated for measuring crop LAI, there is limited literature on the efficacy of PAR-based LAI measurement in the forest environment. This study (i) validates PAR-based LAI measurement in forest environments, and (ii) proposes a suitable collection protocol, which balances efficiency with measurement variation, e.g., due to sun flecks and various-sized canopy gaps. A synthetic PAR sensor model was developed in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model and used to validate LAI measurement based on first-principles and explicitly-known leaf geometry. Simulated collection parameters were adjusted to empirically identify optimal collection protocols. Furthermore, these collection protocols were then validated in the field by correlating PAR-based LAI measurement to the normalized difference vegetation index (NDVI) extracted from the “classic” Airborne Visible Infrared Imaging Spectrometer (AVIRIS-C) data (R2 was 0.61). The results indicate that our proposed collecting protocol is suitable for measuring the LAI of sparse forest (LAI < 3–5 ( m2/m2)).},
doi = {10.3390/s16071092},
journal = {Sensors},
number = 7,
volume = 16,
place = {United States},
year = {2016},
month = {7}
}
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Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution
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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
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On the relationship of NDVI with leaf area index in a deciduous forest site
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Solar position algorithm for solar radiation applications
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Works referencing / citing this record:
A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
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