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Climate response to Nature Future scenarios in a regional Earth System Model. [PDF]

open access: yesNat Commun
Sieber P   +20 more
europepmc   +1 more source

Spring leaf-out keeps pace with warming across the Northern Hemisphere

open access: yes
Zohner C   +7 more
europepmc   +1 more source

EUNIS habitat maps: enhancing thematic and spatial resolution for Europe through machine learning. [PDF]

open access: yesSci Data
Si-Moussi S   +19 more
europepmc   +1 more source
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Generation and evaluation of the VIIRS land surface phenology product

Remote Sensing of Environment, 2018
Abstract Vegetation phenology is widely acknowledged to be a sensitive indicator of the response of ecosystems to climate change, and phenological shifts have been shown to exert substantial impacts on ecosystem function, biodiversity, and carbon budgets at multiple scales.
Xiaoyang Zhang   +2 more
exaly   +2 more sources

Land Surface Phenology from MODIS data in Germany

MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013
Changes in the timing of phenological events are a critical parameter for quantifying the impact of climate alterations on vegetation development that in reverse alters patterns of biosphere-atmosphere interactions. By the means of remote sensing, numerous approaches have been developed for deriving Land Surface Phenology.
Carina Kübert   +3 more
openaire   +2 more sources

Land Surface Phenology

2013
Certain vegetation types (e.g., deciduous shrubs, deciduous trees, grasslands) have distinct life cycles marked by the growth and senescence of leaves and periods of enhanced photosynthetic activity. Where these types exist, recurring changes in foliage alter the reflectance of electromagnetic radiation from the land surface, which can be measured ...
Jonathan M. Hanes   +2 more
openaire   +1 more source

Land Surface Phenology

2009
Land surface phenology (LSP) is a key indicator of ecosystem dynamics under a changing environment. Over the last few decades, numerous studies have used the time series data of vegetation indices derived from land surface reflectance acquired by satellite-based optical sensors to delineate land surface phenology.
Xiangming Xiao   +4 more
openaire   +1 more source

Land surface phenology from Copernicus Global Land time series

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017
The phenology in Europe in the period 1999–2016 was characterized by using of time series of different biophysical variables (LAI, FCOVER, FAPAR and NDVI) estimated from the sensors VEGETATION and PROBA-V in the framework of the Copernicus Global Land Service.
Kevin Bórnez   +3 more
openaire   +1 more source

Plant phenology evaluation of CRESCENDO land surface models

2020
<p>A new generation of land surface models (LSMs) have been developed in the framework of the EU-funded CRESCENDO project aiming to improve understanding of the Earth system as part of the community CMIP6 effort. <br>These new LSMs explicitly represent key processes in the carbon and nitrogen cycles ...
Deborah Hemming   +8 more
openaire   +1 more source

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