Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery

This letter outlines a method for quantifying the fraction of intercepted photosynthetically active radiation (fIPAR) from high spatial resolution airborne images acquired from an unmanned aerial vehicle. Airborne campaigns provided imagery of peach and citrus orchards using a six-band multispectral camera with 15-cm resolution. At the time of the airborne flights, field measurements of fIPAR taken with a ceptometer and structural data were obtained to characterize the study sites. Measuring fIPAR can be time consuming because of the need to sample for spatial and temporal variability. In this context, remote sensing techniques are useful as they make it possible to assess large areas. There is a lack of studies exploring the use of remote sensing techniques to estimate fIPAR in structurally complex crops. In this letter, the use of high spatial resolution imagery allowed us to classify each study plot into three pure components: vegetation, shaded soil, and sunlit soil. The radiation intercepted by a canopy is determined by the architecture and optical properties of the canopy. Consequently, the fractions of each component and their pure reflectance were used to estimate fIPAR in each study area with rmse = 0.06 for orange orchards and peach orchards. © 2013 IEEE.

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Main Authors: Guillén-Climent, M. Luz, Zarco-Tejada, Pablo J., Villalobos, Francisco J.
Format: artículo biblioteca
Published: Institute of Electrical and Electronics Engineers 2014
Online Access:http://hdl.handle.net/10261/101054
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spelling dig-ias-es-10261-1010542018-08-03T10:14:38Z Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery Guillén-Climent, M. Luz Zarco-Tejada, Pablo J. Villalobos, Francisco J. This letter outlines a method for quantifying the fraction of intercepted photosynthetically active radiation (fIPAR) from high spatial resolution airborne images acquired from an unmanned aerial vehicle. Airborne campaigns provided imagery of peach and citrus orchards using a six-band multispectral camera with 15-cm resolution. At the time of the airborne flights, field measurements of fIPAR taken with a ceptometer and structural data were obtained to characterize the study sites. Measuring fIPAR can be time consuming because of the need to sample for spatial and temporal variability. In this context, remote sensing techniques are useful as they make it possible to assess large areas. There is a lack of studies exploring the use of remote sensing techniques to estimate fIPAR in structurally complex crops. In this letter, the use of high spatial resolution imagery allowed us to classify each study plot into three pure components: vegetation, shaded soil, and sunlit soil. The radiation intercepted by a canopy is determined by the architecture and optical properties of the canopy. Consequently, the fractions of each component and their pure reflectance were used to estimate fIPAR in each study area with rmse = 0.06 for orange orchards and peach orchards. © 2013 IEEE. Peer Reviewed 2014-08-22T10:15:08Z 2014-08-22T10:15:08Z 2014 2014-08-22T10:15:08Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1109/LGRS.2013.2284660 issn: 1545-598X IEEE Geoscience and Remote Sensing Letters 11(2): 579-583 (2014) http://hdl.handle.net/10261/101054 10.1109/LGRS.2013.2284660 http://doi.org/10.1109/LGRS.2013.2284660 Sí none Institute of Electrical and Electronics Engineers
institution IAS ES
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country España
countrycode ES
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libraryname Biblioteca del IAS España
description This letter outlines a method for quantifying the fraction of intercepted photosynthetically active radiation (fIPAR) from high spatial resolution airborne images acquired from an unmanned aerial vehicle. Airborne campaigns provided imagery of peach and citrus orchards using a six-band multispectral camera with 15-cm resolution. At the time of the airborne flights, field measurements of fIPAR taken with a ceptometer and structural data were obtained to characterize the study sites. Measuring fIPAR can be time consuming because of the need to sample for spatial and temporal variability. In this context, remote sensing techniques are useful as they make it possible to assess large areas. There is a lack of studies exploring the use of remote sensing techniques to estimate fIPAR in structurally complex crops. In this letter, the use of high spatial resolution imagery allowed us to classify each study plot into three pure components: vegetation, shaded soil, and sunlit soil. The radiation intercepted by a canopy is determined by the architecture and optical properties of the canopy. Consequently, the fractions of each component and their pure reflectance were used to estimate fIPAR in each study area with rmse = 0.06 for orange orchards and peach orchards. © 2013 IEEE.
format artículo
author Guillén-Climent, M. Luz
Zarco-Tejada, Pablo J.
Villalobos, Francisco J.
spellingShingle Guillén-Climent, M. Luz
Zarco-Tejada, Pablo J.
Villalobos, Francisco J.
Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
author_facet Guillén-Climent, M. Luz
Zarco-Tejada, Pablo J.
Villalobos, Francisco J.
author_sort Guillén-Climent, M. Luz
title Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
title_short Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
title_full Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
title_fullStr Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
title_full_unstemmed Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
title_sort estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery
publisher Institute of Electrical and Electronics Engineers
publishDate 2014
url http://hdl.handle.net/10261/101054
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