Results 11 to 20 of about 11,020 (257)

Random Forest Classification of Multitemporal Landsat 8 Spectral Data and Phenology Metrics for Land Cover Mapping in the Sonoran and Mojave Deserts

open access: yesRemote Sensing, 2023
Geospatial data and tools evolve as new technologies are developed and landscape change occurs over time. As a result, these data may become outdated and inadequate for supporting critical habitat-related work across the international boundary in the ...
Madeline Melichar   +9 more
doaj   +1 more source

Vegetation greenness and photosynthetic phenology in response to climatic determinants

open access: yesFrontiers in Forests and Global Change, 2023
Vegetation phenology is a key indicator of vegetation-climate interactions and carbon sink changes in ecosystems. Therefore, it is very important to understand the temporal and spatial variability of vegetation phenology and the driving climatic ...
Chaoya Dang   +5 more
doaj   +1 more source

Dynamic Threshold of Carbon Phenology in Two Cold Temperate Grasslands in China

open access: yesRemote Sensing, 2021
Plant phenology, especially the timing of the start and the end of the vegetation growing season (SOS and EOS), plays a major role in grassland ecosystem carbon cycles.
Lingling Xu   +3 more
doaj   +1 more source

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

On the Response of European Vegetation Phenology to Hydroclimatic Anomalies [PDF]

open access: yesRemote Sensing, 2014
Climate change is expected to alter vegetation and carbon cycle processes, with implications for ecosystems. Notably, understanding the sensitivity of vegetation to the anomalies of precipitation and temperature over different land cover classes and the corresponding temporal response is essential for improved climate prediction.
Guido Ceccherini   +2 more
openaire   +3 more sources

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

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   +1 more source

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