Analysis of the perpendicular structure of vegetation by spectral reflectance in the visible and near infrared

Kengo Ito, Kyoichi Otsuki, Makio Kamichika

Research output: Contribution to journalArticle

Abstract

The analysis of the perpendicular structure of vegetation by remote sensing would provide valuable information for classification of vegetation and estimation of the environment. The purpose of this paper is to investigate the relationship between perpendicular structure of vegetation and spectral reflectance in visible and near infrared. The spectral reflectance is measured in the range of 400nm to 2500nm at intervals of 1nm by changing the number of overlap leaves, perpendicular space between leaves, angle of leaf, incident angle and sensor look angle. The results indicate the following features. First, spectral reflectance in red and near infrared increases with increasing the number of overlap leaves and narrowing the perpendicular space between leaves, but visible rays are not affected by these factors. Secondly, when the perpendicular space between leaves is wide, the spectral reflectance is affected by incident angle. Thirdly, the changes of spectral reflectance differ with leaf angle. These results lead to the conclusion that the relationship between those parameters is complex.

Original languageEnglish
Pages (from-to)567-570
Number of pages4
Journaljournal of agricultural meteorology
Volume52
Issue number5
DOIs
Publication statusPublished - Jan 1 1997
Externally publishedYes

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spectral reflectance
vegetation structure
reflectance
near infrared
vegetation
leaf angle
leaves
remote sensing
analysis
sensor

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

Analysis of the perpendicular structure of vegetation by spectral reflectance in the visible and near infrared. / Ito, Kengo; Otsuki, Kyoichi; Kamichika, Makio.

In: journal of agricultural meteorology, Vol. 52, No. 5, 01.01.1997, p. 567-570.

Research output: Contribution to journalArticle

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