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Refinado por: Nome da Publicação: Remote Sensing Of Environment remover Base de dados/Biblioteca: IngentaConnect Journals remover
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A physically based vegetation index for improved monitoring of plant phenology
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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High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
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High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision

Dandois, Jonathan P. ; Ellis, Erle C.

Remote sensing of environment, 2013-09, Vol.136, p.259-276 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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3
Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty
Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty
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Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty

White, Katharine ; Pontius, Jennifer ; Schaberg, Paul

Remote sensing of environment, 2014-05, Vol.148, p.97-107 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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4
Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
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Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery

Zhong, Liheng ; Gong, Peng ; Biging, Gregory S.

Remote sensing of environment, 2014-01, Vol.140, p.1-13 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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5
The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange
The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange
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The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange

Joiner, J. ; Yoshida, Y. ; Vasilkov, A.P. ; Schaefer, K. ; Jung, M. ; Guanter, L. ; Zhang, Y. ; Garrity, S. ; Middleton, E.M. ; Huemmrich, K.F. ; Gu, L. ; Belelli Marchesini, L.

Remote sensing of environment, 2014-09, Vol.152, p.375-391 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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6
Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements
Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements
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Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements

Hmimina, G. ; Dufrêne, E. ; Pontailler, J.-Y. ; Delpierre, N. ; Aubinet, M. ; Caquet, B. ; de Grandcourt, A. ; Burban, B. ; Flechard, C. ; Granier, A. ; Gross, P. ; Heinesch, B. ; Longdoz, B. ; Moureaux, C. ; Ourcival, J.-M. ; Rambal, S. ; Saint André, L. ; Soudani, K.

Remote sensing of environment, 2013-05, Vol.132, p.145-158 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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7
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
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Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data

Melaas, Eli K. ; Friedl, Mark A. ; Zhu, Zhe

Remote sensing of environment, , Vol.132, p.176-185 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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8
MODIS-based corn grain yield estimation model incorporating crop phenology information
MODIS-based corn grain yield estimation model incorporating crop phenology information
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MODIS-based corn grain yield estimation model incorporating crop phenology information

Sakamoto, Toshihiro ; Gitelson, Anatoly A. ; Arkebauer, Timothy J.

Remote sensing of environment, 2013-04, Vol.131, p.215-231 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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9
Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
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Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery

Dong, Jinwei ; Xiao, Xiangming ; Chen, Bangqian ; Torbick, Nathan ; Jin, Cui ; Zhang, Geli ; Biradar, Chandrashekhar

Remote sensing of environment, 2013-07, Vol.134, p.392-402 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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10
Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data
Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data
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Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data

Walker, J.J. ; de Beurs, K.M. ; Wynne, R.H.

Remote sensing of environment, 2014-03, Vol.144, p.85-97 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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