Results 211 to 220 of about 11,020 (257)

Accelerated north-east shift of the global green wave trajectory. [PDF]

Proc Natl Acad Sci U S A
Mahecha MD, Kraemer G, Reinhardt M, Montero D, Gans F, Bastos A, Feilhauer H, Flik I, Ji C, Kattenborn T, Migliavacca M, Mönks M, Quaas J, Sippel S, Walther S, Wieneke S, Wirth C, Camps-Valls G.   +17 more
europepmc   +1 more source

Beyond Beneficial Margins: Four Mechanisms Linking Border Vegetation to Pest Dynamics. [PDF]

Biology (Basel)
Cardoso JFM, Mundim FM.
europepmc   +1 more source

Bridging monitoring gaps in global drylands with big data and collaboration. [PDF]

NPJ Biodivers
Bruce T, Amin R, Banerjee K, Brito JC, Cristescu B, Farhadinia MS, Luskin MS, Lyons B, Olson D, Vicente J, Montgomery RA.   +10 more
europepmc   +1 more source

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Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology

Journal of Geophysical Research G: Biogeosciences, 2020
AbstractVegetation carbon phenology is a key indicator of vegetation actual photosynthesis activity and regulates terrestrial ecosystem carbon balance. A comprehensive understanding of the structural difference of carbon phenology and greenness phenology is still lacking.
Xihui Gu, Yongqiang Zhang, Dagang Wang   +2 more
exaly   +2 more sources

Monitoring vegetation phenology using MODIS

Remote Sensing of Environment, 2003
Abstract Accurate measurements of regional to global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate–biosphere interactions. Since the mid-1980s, satellite data have been used to study these processes.
Mark Friedl, Xiaoyang Zhang, Alan Strahler   +2 more
exaly   +2 more sources

A background-free phenology index for improved monitoring of vegetation phenology

Agricultural and Forest Meteorology, 2022
Xin Huang, Pei Zhan, Zhiying Xie
exaly   +2 more sources

Template phenology for vegetation models

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
To assist the representation of phenology in vegetation models we created several templates of phenology-driver relations by characterizing the annual phase differences between phenology and two phenology drivers. We did this using the results of a cross spectral analysis of MODIS EVI with radiation (CPTEC) and with precipitation (TRMM).
Andrew V. Bradley, France Gerard, Nicolas Barbier, Graham Weedon, Christopher Huntingford, Przemyslaw Zelazowski, Liana O. Anderson, Luiz Eduardo Oliveira e Cruz de Aragão, Jörg Kaduk   +8 more
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Climate Change and Vegetation Phenology

2020
The rate at which climate change is influencing the living organisms and ecosystem is considered as a major threat to sustaining the resources that are required for the human survival in the future. Environmental impacts on the life stages and functioning of organisms have been a major area of study over the last century. The information available from
K. G. Saxena, K. S. Rao
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Phenology of Vegetation Photosynthesis

2003
In this chapter, we expanded the traditional research area of plant phenology by characterizing plant community growth activities from vegetation photosynthesis. We introduced a systematic approach to objectively determine the various stages in the seasonal march of vegetation photosynthesis.
Lianhong Gu, Wilfred M. Post, Dennis Baldocchi, T. Andy Black, Shashi B. Verma, Timo Vesala, Steve C. Wofsy   +6 more
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Terrestrial vegetation phenology from MODIS and MERIS

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Phenological information can be provided globally using remote sensing based time-series vegetation indices. Basic differences in the data and methods used can yield different results. This study analysed such differences in the phenological information, mainly onset of greenness (OG), estimated using the Enhanced Vegetation Index (EVI) from Moderate ...
Jeganathan Chockalingam, Sangram Ganguly, Jadu Dash, Mark A. Friedl, Peter M. Atkinson   +4 more
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