Detection of Bio-Meteorological Year-to-Year Variation by Using Digital Canopy Surface Images of a Deciduous Broad-Leaved Forest

[1]  Kazuho Matsumoto.  Causal factors for spatial variation in long‐term phenological trends in Ginkgo biloba L. in Japan , 2010 .

[2]  G. Meehl,et al.  Climate extremes: observations, modeling, and impacts. , 2000, Science.

[3]  Elizabeth R. Ellwood,et al.  Forecasting phenology under global warming , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[4]  Hideki Kobayashi,et al.  Assessing the use of camera-based indices for characterizing canopy phenology in relation to gross primary production in a deciduous broad-leaved and an evergreen coniferous forest in Japan , 2012, Ecol. Informatics.

[5]  P. Ciais,et al.  Influence of spring and autumn phenological transitions on forest ecosystem productivity , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[6]  J. Peñuelas,et al.  European phenological response to climate change matches the warming pattern , 2006 .

[7]  Takeshi Ohta,et al.  Climate change and extension of the Ginkgo biloba L. growing season in Japan , 2003 .

[8]  Kenlo Nishida Nasahara,et al.  Examination of the extinction coefficient in the Beer–Lambert law for an accurate estimation of the forest canopy leaf area index , 2012 .

[9]  Pushpam Kumar.  Agriculture (Chapter8) in IPCC, 2007: Climate change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[10]  D. Hollinger,et al.  Use of digital webcam images to track spring green-up in a deciduous broadleaf forest , 2007, Oecologia.

[11]  Kenlo Nishida Nasahara,et al.  Using digital camera images to detect canopy condition of deciduous broad-leaved trees , 2011 .

[12]  Deborah Estrin,et al.  Public Internet‐connected cameras used as a cross‐continental ground‐based plant phenology monitoring system , 2010 .

[13]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[14]  T. Sakai,et al.  Biometric based estimates of net primary production (NPP) in a cool-temperate deciduous forest stand beneath a flux tower , 2005 .

[15]  Kenlo Nishida Nasahara,et al.  The necessity and availability of noise-free daily satellite-observed NDVI during rapid phenological changes in terrestrial ecosystems in East Asia , 2011 .

[16]  Piers J. Sellers,et al.  A Global Climatology of Albedo, Roughness Length and Stomatal Resistance for Atmospheric General Circulation Models as Represented by the Simple Biosphere Model (SiB) , 1989 .

[17]  Josep Peñuelas,et al.  Phenology Feedbacks on Climate Change , 2009, Science.

[18]  Kooiti Masuda,et al.  Interannual covariability between actual evapotranspiration and PAL and GIMMS NDVIs of northern Asia , 2007 .

[19]  Reiko Ide,et al.  Use of digital cameras for phenological observations , 2010, Ecol. Informatics.

[20]  Gerald A. Meehl,et al.  Mechanisms for projected future changes in south Asian monsoon precipitation , 2003 .

[21]  H. Wanner,et al.  Tree phenology and carbon dioxide fluxes - use of digital photography for process-based interpretation at the ecosystem scale , 2009 .