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1
Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011)
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Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011)

Garonna, Irene ; Jong, Rogier ; Wit, Allard J.W ; Mücher, Caspar A ; Schmid, Bernhard ; Schaepman, Michael E

Global change biology, 2014-11, Vol.20 (11), p.3457-3470 [Periódico revisado por pares]

Oxford: Blackwell Science

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Phenological change detection while accounting for abrupt and gradual trends in satellite image time series
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Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

Verbesselt, Jan ; Hyndman, Rob ; Zeileis, Achim ; Culvenor, Darius

Remote sensing of environment, 2010-12, Vol.114 (12), p.2970-2980 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
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Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

Bolton, Douglas K. ; Friedl, Mark A.

Agricultural and forest meteorology, 2013-05, Vol.173, p.74-84 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau
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Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau

Shen, Miaogen ; Zhang, Gengxin ; Cong, Nan ; Wang, Shiping ; Kong, Weidong ; Piao, Shilong

Agricultural and forest meteorology, 2014-06, Vol.189-190, p.71-80 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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A physically based vegetation index for improved monitoring of plant phenology
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A physically based vegetation index for improved monitoring of plant phenology

Jin, Hongxiao ; Eklundh, Lars

Remote sensing of environment, 2014-09, Vol.152, p.512-525 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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6
Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest
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Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest

Liang, Liang ; Schwartz, Mark D. ; Fei, Songlin

Remote sensing of environment, 2011-01, Vol.115 (1), p.143-157 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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7
Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models
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Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models

Zhang, Shuai ; Tao, Fulu

European journal of agronomy, 2013-02, Vol.45, p.165-176 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
Macroscale prediction of autumn leaf coloration throughout the continental United States
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Macroscale prediction of autumn leaf coloration throughout the continental United States

Jeong, Su‐Jong ; Medvigy, David

Global ecology and biogeography, 2014-11, Vol.23 (11), p.1245-1254 [Periódico revisado por pares]

Oxford: Blackwell Science

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9
Climate change and plant regeneration from seed
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Climate change and plant regeneration from seed

WALCK, JEFFREY L ; HIDAYATI, SITI N ; DIXON, KINGSLEY W ; THOMPSON, KEN ; POSCHLOD, PETER

Global change biology, 2011-06, Vol.17 (6), p.2145-2161 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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10
Recent spring phenology shifts in western Central Europe based on multiscale observations
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Recent spring phenology shifts in western Central Europe based on multiscale observations

Fu, Yongshuo H ; Piao, Shilong ; Op de Beeck, Maarten ; Cong, Nan ; Zhao, Hongfang ; Zhang, Yuan ; Menzel, Annette ; Janssens, Ivan A

Global ecology and biogeography, 2014-11, Vol.23 (11), p.1255-1263 [Periódico revisado por pares]

Oxford: Blackwell Science

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