How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Veronica S. Ciganda; Anatoly A. Gitelson; James Schepers

doi:10.1016/j.rse.2012.08.019

How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Veronica S. Ciganda, Anatoly A. Gitelson, James Schepers

School of Natural Resources

Research output: Contribution to journal › Article › peer-review

58 Scopus citations

Abstract

Remote sensing offers a unique perspective of plant vigor based on reflectance of the crops' canopy. The goal of this study was to determine how deep into the maize canopy red-edge chlorophyll index, CI_{red edge}, was affected by foliar chlorophyll (Chl) content and leaf area. Reflectance in the range 400 to 900nm was measured at both the leaf and canopy levels and was used to determine foliar Chl and total canopy Chl content using CI_{red edge}. Statistical techniques, a hierarchical regression and three Aikaike Information Criteria, were used to determine how many leaf layers are sensed by the CI_{red edge}. All statistical techniques showed that the CI_{red edge} senses the chlorophyll content of the upper 7 to 9 leaf layers in a maize canopy and that remote sensing technique is able to accurately estimate maize canopy Chl content.

Original language	English (US)
Pages (from-to)	240-247
Number of pages	8
Journal	Remote Sensing of Environment
Volume	126
DOIs	https://doi.org/10.1016/j.rse.2012.08.019
State	Published - Nov 2012

Keywords

Chlorophyll
Reflectance
Remote sensing

ASJC Scopus subject areas

Soil Science
Geology
Computers in Earth Sciences

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10.1016/j.rse.2012.08.019

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title = "How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy",

abstract = "Remote sensing offers a unique perspective of plant vigor based on reflectance of the crops' canopy. The goal of this study was to determine how deep into the maize canopy red-edge chlorophyll index, CIred edge, was affected by foliar chlorophyll (Chl) content and leaf area. Reflectance in the range 400 to 900nm was measured at both the leaf and canopy levels and was used to determine foliar Chl and total canopy Chl content using CIred edge. Statistical techniques, a hierarchical regression and three Aikaike Information Criteria, were used to determine how many leaf layers are sensed by the CIred edge. All statistical techniques showed that the CIred edge senses the chlorophyll content of the upper 7 to 9 leaf layers in a maize canopy and that remote sensing technique is able to accurately estimate maize canopy Chl content.",

keywords = "Chlorophyll, Reflectance, Remote sensing",

author = "Ciganda, {Veronica S.} and Gitelson, {Anatoly A.} and James Schepers",

note = "Funding Information: We acknowledge the use of facilities and equipment provided by Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln. This research was supported in part by the U.S. Department of Energy EPSCoR program , Grant DE-FG-02-00ER45827 ; the Office of Science (BER) , grant no. DE-FG03-00ER62996 ; NASA North American Carbon Program , grant NNX08AI75G ; the University of Nebraska Agricultural Research Division , Lincoln, NE; and USDA-Agricultural Research Service .",

year = "2012",

month = nov,

doi = "10.1016/j.rse.2012.08.019",

language = "English (US)",

volume = "126",

pages = "240--247",

journal = "Remote Sensing of Environment",

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AU - Ciganda, Veronica S.

AU - Gitelson, Anatoly A.

AU - Schepers, James

N1 - Funding Information: We acknowledge the use of facilities and equipment provided by Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln. This research was supported in part by the U.S. Department of Energy EPSCoR program , Grant DE-FG-02-00ER45827 ; the Office of Science (BER) , grant no. DE-FG03-00ER62996 ; NASA North American Carbon Program , grant NNX08AI75G ; the University of Nebraska Agricultural Research Division , Lincoln, NE; and USDA-Agricultural Research Service .

PY - 2012/11

Y1 - 2012/11

N2 - Remote sensing offers a unique perspective of plant vigor based on reflectance of the crops' canopy. The goal of this study was to determine how deep into the maize canopy red-edge chlorophyll index, CIred edge, was affected by foliar chlorophyll (Chl) content and leaf area. Reflectance in the range 400 to 900nm was measured at both the leaf and canopy levels and was used to determine foliar Chl and total canopy Chl content using CIred edge. Statistical techniques, a hierarchical regression and three Aikaike Information Criteria, were used to determine how many leaf layers are sensed by the CIred edge. All statistical techniques showed that the CIred edge senses the chlorophyll content of the upper 7 to 9 leaf layers in a maize canopy and that remote sensing technique is able to accurately estimate maize canopy Chl content.

AB - Remote sensing offers a unique perspective of plant vigor based on reflectance of the crops' canopy. The goal of this study was to determine how deep into the maize canopy red-edge chlorophyll index, CIred edge, was affected by foliar chlorophyll (Chl) content and leaf area. Reflectance in the range 400 to 900nm was measured at both the leaf and canopy levels and was used to determine foliar Chl and total canopy Chl content using CIred edge. Statistical techniques, a hierarchical regression and three Aikaike Information Criteria, were used to determine how many leaf layers are sensed by the CIred edge. All statistical techniques showed that the CIred edge senses the chlorophyll content of the upper 7 to 9 leaf layers in a maize canopy and that remote sensing technique is able to accurately estimate maize canopy Chl content.

KW - Chlorophyll

KW - Reflectance

KW - Remote sensing

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JO - Remote Sensing of Environment

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ER -

How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Abstract

Keywords

ASJC Scopus subject areas

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