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

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

Research output: Contribution to journalArticle

25 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)240-247
Number of pages8
JournalRemote Sensing of Environment
Volume126
DOIs
StatePublished - Nov 1 2012

Fingerprint

Chlorophyll
chlorophyll
maize
canopy
sensor
corn
Sensors
reflectance
remote sensing
Remote sensing
leaves
vigor
leaf area
Crops
methodology
crop

Keywords

  • Chlorophyll
  • Reflectance
  • Remote sensing

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

Cite this

How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy. / Ciganda, Veronica S.; Gitelson, Anatoly A.; Schepers, James.

In: Remote Sensing of Environment, Vol. 126, 01.11.2012, p. 240-247.

Research output: Contribution to journalArticle

Ciganda, Veronica S. ; Gitelson, Anatoly A. ; Schepers, James. / How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy. In: Remote Sensing of Environment. 2012 ; Vol. 126. pp. 240-247.
@article{063abad7312f47dc8e03bc7dc6a0eb09,
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",
year = "2012",
month = "11",
day = "1",
doi = "10.1016/j.rse.2012.08.019",
language = "English (US)",
volume = "126",
pages = "240--247",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

AU - Ciganda, Veronica S.

AU - Gitelson, Anatoly A.

AU - Schepers, James

PY - 2012/11/1

Y1 - 2012/11/1

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

UR - http://www.scopus.com/inward/record.url?scp=84866158192&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866158192&partnerID=8YFLogxK

U2 - 10.1016/j.rse.2012.08.019

DO - 10.1016/j.rse.2012.08.019

M3 - Article

AN - SCOPUS:84866158192

VL - 126

SP - 240

EP - 247

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -