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Seasonal changes in camera-based indices from an open canopy black spruce forest in Alaska, and comparison with indices from a closed canopy evergreen coniferous forest in Japan

Shin Nagai, Taro Nakai, Taku M. Saitoh, Robert C. Busey, Hideki Kobayashi, Rikie Suzuki, Hiroyuki Muraoka, Yongwon Kim
2013 Polar Science  
Canopy surface images for the black spruce forest and cedar forest mainly detected seasonal changes in vegetation on the floor of the forest and in the tree canopy, respectively.  ...  Daily digital camera images can be used to determine the relationships among phenology, gross primary productivity (GPP), and meteorological parameters, and to ground-truth satellite observations.  ...  We also thank all members of the Phenological Eyes Network for their assistance. We thank the editor and anonymous reviewers for their kind and constructive comments.  ... 
doi:10.1016/j.polar.2012.12.001 fatcat:2cc5xdgdn5harfxeodjtqh4sxy

Seasonal variations in phenology and productivity of a tropical dry deciduous forest from MODIS and Hyperion

Binal Christian, Nikita Joshi, Manjit Saini, Nirav Mehta, Sheshakumar Goroshi, Rama Rao Nidamanuri, Prasad Thenkabail, Ankur R. Desai, N.S.R. Krishnayya
2015 Agricultural and Forest Meteorology  
Hyperion EVI resampled at multiple resolutions (30 m; 60 m; 120 m; 250 m; 500 m) maintained synchrony with variations in the phenological events of canopy.  ...  variation in phenology and GPP for Teak, Bamboo and Mixed tropical deciduous vegetation ecosystems of Shoolpaneshwar Wildlife Sanctuary (SWS), Gujarat, India.  ...  Acknowledgements BC is thankful to DST's Women scientist program (SR/WOS-A/ES-17/2010). NJ, MS, NSR are thankful for the financial assistance by NRDMS, DST, New Delhi (NRDMS/11/1669/10/Pr: 3).  ... 
doi:10.1016/j.agrformet.2015.08.246 fatcat:zg5zj443djg77picmkoinug3xi

The relationship between carbon dioxide uptake and canopy colour from two camera systems in a deciduous forest in southern England

Toshie Mizunuma, Matthew Wilkinson, Edward L. Eaton, Maurizio Mencuccini, James I. L. Morison, John Grace, Nick Ostle
2012 Functional Ecology  
However, the timing of the onset of greening and senescence was, nevertheless, detectable for the individual trees as well as the overall canopy for both years.  ...  The effects of a late air frost in 2010 were evident in the canopy greenness, and these led to reductions in daily gross primary productivity (GPP).  ...  Acknowledgements The ADFC camera installation in Alice Holt was supported by a grant from the UK-Japan 2008 Collaborative Project Grant Award of the British Embassy, Tokyo, and the British Council to commemorate  ... 
doi:10.1111/1365-2435.12026 fatcat:vx5z4ldrobb3zlividns3dwuau

Relationship between leaf physiologic traits and canopy color indices during the leaf expansion period in an oak forest

Zhunqiao Liu, Haibo Hu, Hua Yu, Xi Yang, Hualei Yang, Cunxin Ruan, Yan Wang, Jianwu Tang
2015 Ecosphere  
Detecting plant phenology by capturing the time-series canopy images through digital camera has become popular in recent years.  ...  We collected continuous images of forest canopy, leaf size, leaf area index (LAI) and leaf chlorophyll measured by a soil plant analysis development (SPAD) analyzer in a northern subtropical oak forest  ...  This research was funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions in the Discipline of Environmental Science and Engineering at Nanjing Forest University, Changjiang  ... 
doi:10.1890/es14-00452.1 fatcat:pnmhdql6rbf2vow6ntacrc7stu

生態学者のための分光計測
Spectrometry for ecologists

Yutaka Okuzaki, Koji Mochida, Shin Nagai, Tatsuro Nakaji, Hiroyuki Oguma
2017 Nihon Seitai Gakkaishi  
deciduous broad-leaved tree species by using daily continuous canopy surface images.  ...  Ecological Informatics, 5:339-347 Inoue T, Nagai S, Saitoh TM, Muraoka H, Nasahara KN, Koizumi H (2014) Detection of the different characteristics of year-to-year variation in foliage phenology among  ...  . , 52:119-129 Nagai S, Nasahara KN, Inoue T, Saitoh TM, Suzuki R (2016) Review: Advances in in situ and satellite phenological observations in Japan.  ... 
doi:10.18960/seitai.67.1_41 fatcat:mhubh2ejozb4tcte4kj2ctp34a

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments [chapter]

Xiaoyang Zhang, Mark A., Bin Tan, Mitchell D., Yunyue Yu
2012 Phenology and Climate Change  
Fall foliage coloration is a phenomenon occurring in many deciduous trees and shrubs worldwide. Fall foliage status is a function of the colored leaves on the plant canopy.  ...  Their difference represents relative variation in colored leaves on plant canopy, which can be quantified using a temporally-normalized brownness index.  ... 
doi:10.5772/39197 fatcat:x4f5qfvcljfv7bksj7n2pxdnom

Host tree phenology affects vascular epiphytes at the physiological, demographic and community level

Helena J. R. Einzmann, Joachim Beyschlag, Florian Hofhansl, Wolfgang Wanek, Gerhard Zotz
2015 AoB Plants  
We studied the influence of tree leaf phenology on vascular epiphytes on the Island of Barro Colorado, Panama. Five tree species were selected, which were deciduous, semi-deciduous or evergreen.  ...  We hypothesized that the resulting seasonal differences in microclimatic conditions in evergreen vs. deciduous trees would affect epiphytes at different levels, from organ physiology to community structure  ...  Further, the authors are grateful to Glenda Mendieta Leiva (University of Oldenburg) for her help in the determination of species and for her advice on climbing techniques.  ... 
doi:10.1093/aobpla/plu073 pmid:25392188 pmcid:PMC4287691 fatcat:qk57mtsmfvhzvjf2kpmlk52bd4

Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography

Caitlin E. Moore, Tim Brown, Trevor F. Keenan, Remko A. Duursma, Albert I. J. M. van Dijk, Jason Beringer, Darius Culvenor, Bradley Evans, Alfredo Huete, Lindsay B. Hutley, Stefan Maier, Natalia Restrepo-Coupe (+5 others)
2016 Biogeosciences Discussions  
First, we examine temporal variation in phenology at the continental scale using the Enhanced Vegetation Index (EVI), calculated from MODerate resolution Imaging Spectroradiomter (MODIS) data.  ...  These ecosystems exhibit marked differences in seasonal patterns of canopy development and plant life-cycle events, much of which deviates from the predictable seasonal phenological pulse of temperate  ...  N., and Koizumi, H.: Detection of the 25 different characteristics of year-to-year variation in foliage phenology among deciduous broad-26 leaved tree species by using daily continuous canopy surface images  ... 
doi:10.5194/bg-2016-175 fatcat:ldpbpxrdcjhjbpff2nkizjo3fq

Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography

Hella Ellen Ahrends, Robert Brügger, Reto Stöckli, Jürg Schenk, Pavel Michna, Francois Jeanneret, Heinz Wanner, Werner Eugster
2008 Journal of Geophysical Research  
Image analysis was conducted separately on a set of regions of interest representing two different tree species during spring in 2005 and 2006.  ...  We estimated the date of leaf emergence based on the levels of the extracted red, green and blue colors. Comparisons with validation data were in accordance with the phenology of the observed trees.  ...  We are grateful to the National Center of Competence in Research on Climate (NCCR Climate) for supporting this project.  ... 
doi:10.1029/2007jg000650 fatcat:f7xp7t4mfjhbpcd5cwnzrvk5pq

Digital repeat photography for phenological research in forest ecosystems

Oliver Sonnentag, Koen Hufkens, Cory Teshera-Sterne, Adam M. Young, Mark Friedl, Bobby H. Braswell, Thomas Milliman, John O'Keefe, Andrew D. Richardson
2012 Agricultural and Forest Meteorology  
However, differences in how specific cameras "see" the forest canopy may obscure subtle phenological changes that could be detectable if a common protocol was implemented across sites.  ...  Digital repeat photography has the potential to become an important long-term data source for phenological research given its advantages in terms of logistics, continuity, consistency and objectivity over  ...  CT-S and AMY were supported by NSF through the Harvard Forest Summer Research Program in Forest Ecology (award number DBI-1003938).  ... 
doi:10.1016/j.agrformet.2011.09.009 fatcat:3b2zj6p2snenlkl7ddc7h3ekvm

Biome-Scale Forest Properties in Amazonia Based on Field and Satellite Observations

Liana O. Anderson
2012 Remote Sensing  
, trees are higher and present lower proportions of large-leaved species than stands in northwest and southwest Amazonia.  ...  Finally, I discuss the results of the three major droughts that hit Amazonia in the last 15 years.  ...  Acknowledgements The author thanks the AMAZONICA Project (Natural Environment Research Council NERC/grant: NE/F005806/1).  ... 
doi:10.3390/rs4051245 fatcat:ufsu2cqeijhgbppp6e6gx7ufje

ANALYSIS OF SPATIO-TEMPORAL PATTERNS OF LEAF AREA INDEX IN DIFFERENT FOREST TYPES OF INDIA USING HIGH TEMPORAL REMOTE SENSING DATA

A. Chhabra, S. Panigrahy
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The spatial patterns of seasonal variations detected that for most of the forest types, the peak LAI values were observed during September and October months of the autumn season in contrast to minimum  ...  We present a detailed spatio-temporal and inter-seasonal analysis of LAI patterns in different forest types of India using MODIS 8-day composites global LAI/fPAR product for the year 2005 at 1-km spatial  ...  ACKNOWLEDGEMENTS This study was carried out as a part of 'Development of remote sensing based bioclimatic index for Indian region' project under EOAM Programme of DOS-ISRO.  ... 
doi:10.5194/isprsarchives-xxxviii-8-w20-119-2011 fatcat:bnumbmpsn5fdvc3j6t46g2b6ei

Emerging opportunities and challenges in phenology: a review

Jianwu Tang, Christian Körner, Hiroyuki Muraoka, Shilong Piao, Miaogen Shen, Stephen J. Thackeray, Xi Yang
2016 Ecosphere  
We find that the lack of species-level knowledge and observation data leads to difficulties in the development of vegetation phenology models at ecosystem or community scales.  ...  Plant phenology research has gained increasing attention because of the sensitivity of phenology to climate change and its consequences for ecosystem function.  ...  Image processing Images taken by digital cameras contain values of red (R), green (g), and blue (B) as "spectral band" signals to detect the characteristics of the observed objects.  ... 
doi:10.1002/ecs2.1436 fatcat:qstiedwrbjfw7fuhfshab5cira

The contribution of remote sensing to the assessment of drought effects in forest ecosystems

Michel Deshayes, Dominique Guyon, Hervé Jeanjean, Nicolas Stach, Anne Jolly, Olivier Hagolle
2006 Annals of Forest Science  
use some of the different available systems for setting up a strategy more adapted to monitoring of drought effects in forests. drought / forest / remote sensing / satellite Résumé -Contribution de la  ...  Due to their synoptic and monitoring capacities, Earth observation satellites could prove useful for the assessment and evaluation of drought effects in forest ecosystems.  ...  . . . ), by a slow evolution of the morphology of leaves and the structure of tree crowns, and ultimately by defoliation and tree decline.  ... 
doi:10.1051/forest:2006045 fatcat:vi4osafruvddjh5y5xonbp6esy

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

Dominique Guyon, Marie Guillot, Yann Vitasse, Hervé Cardot, Olivier Hagolle, Sylvain Delzon, Jean-Pierre Wigneron
2011 Remote Sensing of Environment  
of leaf phenology made for two dominant tree species in the region (oak and beech).  ...  Nevertheless the elevational or geographic range of tree species, which differ in their phenology sensitivity to temperature, also has a significant impact on this pattern.  ...  We thank Stephanie Hayes, Heather Lawrence and Ajit Govind for revising the English version of the manuscript. We are grateful for the helpful comments of the anonymous reviewers.  ... 
doi:10.1016/j.rse.2010.10.006 fatcat:j5jk2w7nqrahbjvcqcrukbx72i
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