TY - JOUR
T1 - Uncertainties involved in leaf fall phenology detected by digital camera
AU - Nagai, Shin
AU - Inoue, Tomoharu
AU - Ohtsuka, Toshiyuki
AU - Yoshitake, Shinpei
AU - Nasahara, Kenlo Nishida
AU - Saitoh, Taku M.
N1 - Funding Information:
We thank all members of the Takayama community for their assistance in the field, particularly the organizers, Mr K. Kurumado, Mr Y. Miyamoto, and Dr H. Muraoka. We also thank all members of the Phenological Eyes Network for their cooperation. We thank the editor and two anonymous reviewers for their kind and constructive comments. This study was supported by the Environment Research and Technology Development Fund ( S-9 ) of the Ministry of the Environment of Japan. S. Nagai is supported by KAKENHI (24710021; Grant-in-Aid for Young Scientists B by JSPS), the Centre for Environmental Remote Sensing, Chiba University, and the Hydrospheric Atmospheric Research Centre, Nagoya University. K. Nasahara is supported by the Global Change Observation Mission (GCOM RA4 PI#102) of the Japan Aerospace Exploration Agency (JAXA).
Publisher Copyright:
© 2015 Elsevier B.V.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
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
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U2 - 10.1016/j.ecoinf.2015.10.005
DO - 10.1016/j.ecoinf.2015.10.005
M3 - Article
AN - SCOPUS:84944742245
VL - 30
SP - 124
EP - 132
JO - Ecological Informatics
JF - Ecological Informatics
SN - 1574-9541
ER -