Results 11 to 20 of about 10,373 (187)

ANALYZING THE VELOCITY OF VEGETATION PHENOLOGY OVER THE TIBETAN PLATEAU USING GIMMS NDVI3g DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Global environmental change is rapidly altering the dynamics of terrestrial vegetation, and phenology is a classic proxy to detect the response of vegetation to the changes.
Y. K. Zhou
doaj   +1 more source

Climate warming-induced phenology changes dominate vegetation productivity in Northern Hemisphere ecosystems

open access: yesEcological Indicators, 2023
The climate change is expected to trigger changes in vegetation phenology, temperature, and soil moisture (SM), altering the productivity of ecosystems.
Chaoya Dang   +5 more
doaj   +1 more source

Comparisons of numerical phenology models and machine learning methods on predicting the spring onset of natural vegetation across the Northern Hemisphere

open access: yesEcological Indicators, 2021
The timing of vegetation spring onset is largely influenced by climate factors, making it sensitive to climate variation. Robust models that predict vegetation spring onset via the climate forcing data are needed in the land surface models for ...
Wanjing Li   +4 more
doaj   +1 more source

Acceleration of vegetation phenological changes

open access: yesGlobal Change Biology, 2022
AbstractPiao et al. (2022) presents an interesting study on vegetation phenology from a novel angle. The study examined the speed of canopy development and senescence, or the “acceleration of vegetation phenological changes”, and investigated its relationship with the trend of vegetation greening/browning and the underlying climate driving factors.
openaire   +2 more sources

Influences of Seasonal Soil Moisture and Temperature on Vegetation Phenology in the Qilian Mountains

open access: yesRemote Sensing, 2022
Vegetation phenology is a commonly used indicator of ecosystem responses to climate change and plays a vital role in ecosystem carbon and hydrological cycles. Previous studies have mostly focused on the response of vegetation phenology to temperature and
Xia Cui, Gang Xu, Xiaofei He, Danqi Luo
doaj   +1 more source

Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region

open access: yesRemote Sensing, 2020
Impacts of urbanization and climate change on ecosystems are widely studied, but these drivers of change are often difficult to isolate from each other and interactions are complicated.
Haiyong Ding   +3 more
doaj   +1 more source

Temporal Trends and Spatial Variability of Vegetation Phenology over the Northern Hemisphere during 1982-2012. [PDF]

open access: yesPLoS ONE, 2016
Satellite-derived vegetation phenology has been recognized as a key indicator for detecting changes in the terrestrial biosphere in response to global climate change.
Siyuan Wang   +5 more
doaj   +1 more source

Spectral-Temporal Classification Using Vegetation Phenology [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 1980
In this paper we describe a multitemporal classification procedure for crops in Landsat scenes. The method involves the creation of crop signatures which characterize multispectral observations as functions of phenological growth states. The phenological signature models spectral reflectance explicitly as a function of crop maturity rather than a ...
Robert M. Haralick   +3 more
openaire   +1 more source

Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology

open access: yesRemote Sensing, 2020
Numerous investigations of urbanization effects on vegetation spring phenology using satellite images have reached a consensus that vegetation spring phenology in urban areas occurs earlier than in surrounding rural areas.
Jiaqi Tian   +4 more
doaj   +1 more source

A global reanalysis of vegetation phenology [PDF]

open access: yesJournal of Geophysical Research, 2011
[1] Simulations of the global water and carbon cycle are sensitive to the model representation of vegetation phenology. Current phenology models are empirical, and few predict both phenological timing and leaf state. Our previous study demonstrated how satellite data assimilation employing an Ensemble Kalman Filter yields realistic phenological model ...
Stöckli, Reto   +4 more
openaire   +2 more sources

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