Uncertainties involved in leaf fall phenology detected by digital camera

Shin Nagai, Tomoharu Inoue, Toshiyuki Ohtsuka, Shimpei Yoshitake, Kenlo Nishida Nasahara, Taku M. Saitoh

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We evaluated the uncertainty in the estimation of year-to-year variability in the timing of leaf fall detected by the analysis of red, green and blue (RGB) values extracted from daily phenological images in a deciduous broad-leaved forest in Japan. We examined (1) the spatial distribution of individual tree species within a 1-ha permanent plot and the spatio-temporal variability of leaf litter of various species for 8 years; and (2) the relationship between the year-to-year variability of leaf fall detected by leaf litter and that detected by phenological images of various species. Uncertainties were caused by (1) the heterogeneous distribution of each species within the whole forest community; (2) the year-to-year variability of the timing of leaf fall among species; and (3) differences in leaf colouring and leaf fall patterns among species. Our results indicate the importance of integrating RGB analysis of each species and of the whole canopy on the basis of spatial locations of individuals and proportions of tree species within a forest to reduce uncertainty.

Original languageEnglish
Pages (from-to)124-132
Number of pages9
JournalEcological Informatics
Volume30
DOIs
Publication statusPublished - 2015 Nov 1
Externally publishedYes

Fingerprint

Digital Camera
Digital cameras
cameras
phenology
Leaves
uncertainty
Uncertainty
leaves
plant litter
Coloring
Spatial distribution
leaf litter
forest communities
Timing
biogeography
broad-leaved forest
spatial distribution
canopy
Japan
Spatial Distribution

Keywords

  • Deciduous broad-leaved forest
  • Leaf fall
  • Phenological observations
  • Time-lapse digital camera
  • Uncertainty

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modelling and Simulation
  • Ecology
  • Ecological Modelling
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

Uncertainties involved in leaf fall phenology detected by digital camera. / Nagai, Shin; Inoue, Tomoharu; Ohtsuka, Toshiyuki; Yoshitake, Shimpei; Nasahara, Kenlo Nishida; Saitoh, Taku M.

In: Ecological Informatics, Vol. 30, 01.11.2015, p. 124-132.

Research output: Contribution to journalArticle

Nagai, Shin ; Inoue, Tomoharu ; Ohtsuka, Toshiyuki ; Yoshitake, Shimpei ; Nasahara, Kenlo Nishida ; Saitoh, Taku M. / Uncertainties involved in leaf fall phenology detected by digital camera. In: Ecological Informatics. 2015 ; Vol. 30. pp. 124-132.
@article{82f5210dadc947ada8b9ab95bf2ced75,
title = "Uncertainties involved in leaf fall phenology detected by digital camera",
abstract = "We evaluated the uncertainty in the estimation of year-to-year variability in the timing of leaf fall detected by the analysis of red, green and blue (RGB) values extracted from daily phenological images in a deciduous broad-leaved forest in Japan. We examined (1) the spatial distribution of individual tree species within a 1-ha permanent plot and the spatio-temporal variability of leaf litter of various species for 8 years; and (2) the relationship between the year-to-year variability of leaf fall detected by leaf litter and that detected by phenological images of various species. Uncertainties were caused by (1) the heterogeneous distribution of each species within the whole forest community; (2) the year-to-year variability of the timing of leaf fall among species; and (3) differences in leaf colouring and leaf fall patterns among species. Our results indicate the importance of integrating RGB analysis of each species and of the whole canopy on the basis of spatial locations of individuals and proportions of tree species within a forest to reduce uncertainty.",
keywords = "Deciduous broad-leaved forest, Leaf fall, Phenological observations, Time-lapse digital camera, Uncertainty",
author = "Shin Nagai and Tomoharu Inoue and Toshiyuki Ohtsuka and Shimpei Yoshitake and Nasahara, {Kenlo Nishida} and Saitoh, {Taku M.}",
year = "2015",
month = "11",
day = "1",
doi = "10.1016/j.ecoinf.2015.10.005",
language = "English",
volume = "30",
pages = "124--132",
journal = "Ecological Informatics",
issn = "1574-9541",
publisher = "Elsevier",

}

TY - JOUR

T1 - Uncertainties involved in leaf fall phenology detected by digital camera

AU - Nagai, Shin

AU - Inoue, Tomoharu

AU - Ohtsuka, Toshiyuki

AU - Yoshitake, Shimpei

AU - Nasahara, Kenlo Nishida

AU - Saitoh, Taku M.

PY - 2015/11/1

Y1 - 2015/11/1

N2 - We evaluated the uncertainty in the estimation of year-to-year variability in the timing of leaf fall detected by the analysis of red, green and blue (RGB) values extracted from daily phenological images in a deciduous broad-leaved forest in Japan. We examined (1) the spatial distribution of individual tree species within a 1-ha permanent plot and the spatio-temporal variability of leaf litter of various species for 8 years; and (2) the relationship between the year-to-year variability of leaf fall detected by leaf litter and that detected by phenological images of various species. Uncertainties were caused by (1) the heterogeneous distribution of each species within the whole forest community; (2) the year-to-year variability of the timing of leaf fall among species; and (3) differences in leaf colouring and leaf fall patterns among species. Our results indicate the importance of integrating RGB analysis of each species and of the whole canopy on the basis of spatial locations of individuals and proportions of tree species within a forest to reduce uncertainty.

AB - We evaluated the uncertainty in the estimation of year-to-year variability in the timing of leaf fall detected by the analysis of red, green and blue (RGB) values extracted from daily phenological images in a deciduous broad-leaved forest in Japan. We examined (1) the spatial distribution of individual tree species within a 1-ha permanent plot and the spatio-temporal variability of leaf litter of various species for 8 years; and (2) the relationship between the year-to-year variability of leaf fall detected by leaf litter and that detected by phenological images of various species. Uncertainties were caused by (1) the heterogeneous distribution of each species within the whole forest community; (2) the year-to-year variability of the timing of leaf fall among species; and (3) differences in leaf colouring and leaf fall patterns among species. Our results indicate the importance of integrating RGB analysis of each species and of the whole canopy on the basis of spatial locations of individuals and proportions of tree species within a forest to reduce uncertainty.

KW - Deciduous broad-leaved forest

KW - Leaf fall

KW - Phenological observations

KW - Time-lapse digital camera

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=84944742245&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84944742245&partnerID=8YFLogxK

U2 - 10.1016/j.ecoinf.2015.10.005

DO - 10.1016/j.ecoinf.2015.10.005

M3 - Article

VL - 30

SP - 124

EP - 132

JO - Ecological Informatics

JF - Ecological Informatics

SN - 1574-9541

ER -