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Vegetation Phenology in Global Change Studies
2003Global change, encompassing natural and anthropogenic changes to the Earth system at sub-annual to geologic time scales, has strong interactions with vegetation phenology. In this chapter we will refer to global change as alterations to the Earth system that are certainly or probably influenced by human activity, primarily since the industrial ...
Michael A. White +2 more
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Vegetation Phenology in Global Change Studies
2013Changes in the character of the vegetated land surface are frequently expressed in terms of temporal trends in the Normalized Difference Vegetation Index (NDVI) retrieved from spaceborne sensors. In the past these change studies were typically based upon AVHRR data.
Kirsten M. de Beurs, Geoffrey M. Henebry
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Satellite Applications for Detecting Vegetation Phenology
2013Vegetation phenology describing the seasonal cycle of plants is currently one of the main concerns in the study of climate change and carbon balance estimation in ecosystems. Satellite-derived information has been demonstrated to be an important source for detecting vegetation phenology. A variety of methods have been developed to generate phenological
Min Li, John J. Qu
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Terrestrial vegetation phenology from MODIS and MERIS
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010Phenological 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 ...
C. Jeganathan +4 more
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Monitoring vegetation phenology using improved MODIS products
SPIE Proceedings, 2007Land surface vegetation phenology is an important process for the real-time monitoring and detecting inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Crop phenology is an important factor that influences crop growth and yield estimation models.
Yanmin Shuai +9 more
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Vegetative and Reproductive Plant Phenology
2015An analysis of phenological patterns of plant species of the Yucatan Peninsula is presented. Vegetative phenology is analyzed on community level, based on vegetation types of the region. Spatial differences of precipitation availability play an important role in foliar behavior at community level.
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Improved Modeling of Vegetation Phenology Using Soil Enthalpy
Global Change BiologyABSTRACTMany vegetation phenological models predominantly rely on temperature, overlooking the critical roles of water availability and soil characteristics. This limitation significantly impacts the accuracy of phenological projections, particularly in water‐limited ecosystems.
Xupeng Sun +3 more
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Diagnosing hazelnut vegetation phenology and health from satellites
2023<p>Satellite observations represent a valuable tool for studying vegetation dynamics because they provide consistent and timely views of Earth's surface with time and space continuity, allowing for detecting changes in phenological patterns.
Simone Bregaglio +5 more
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Applied Vegetation Science, 2004
Abstract. Various attempts have been made to describe and map the vegetation of southern Africa with recent efforts having an increasingly ecologi cal context. Vegetation classification is usually based on vegetation physiognomy and floristic composition, but phenology is useful source of information which is rarely used, although it can contribute ...
David Hoare, Phillip Frost
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Abstract. Various attempts have been made to describe and map the vegetation of southern Africa with recent efforts having an increasingly ecologi cal context. Vegetation classification is usually based on vegetation physiognomy and floristic composition, but phenology is useful source of information which is rarely used, although it can contribute ...
David Hoare, Phillip Frost
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Global vegetation phenology from AVHRR and MODIS data
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2002Seasonal climatic variability drives four successive phases of vegetation phenology: green-up, maturity, senescence and dormancy. These periods can be divided by four transition dates of phenological phases. An algorithm of maximal curvature detection is developed to measure these dates for vegetation communities at each vegetation cycle.
null Xiaoyang Zhang +5 more
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