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International Journal of Applied Earth Observation and Geoinformation, Volume 29

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Volume 29, June 2014

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  - journals/aeog/RossiniMGMCCFGJCSC14
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  - https://dblp.org/rec/journals/aeog/RossiniMGMCCFGJCSC14
Micol Rossini, Mirco Migliavacca, Marta Galvagno, Michele Meroni, Sergio Cogliati, Edoardo Cremonese, Francesco Fava, Anatoly A. Gitelson, Tommaso Julitta, Umberto Morra di Cella, Consolata Siniscalco, Roberto Colombo:
Remote estimation of grassland gross primary production during extreme meteorological seasons. 1-10
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  - journals/aeog/BlancoVBMH14
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Paula D. Blanco, Héctor F. del Valle, Pablo J. Bouza, Graciela Metternicht, Leonardo A. Hardtke:
Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery. 11-21
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  - journals/aeog/GallegoKSKSK14
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Francisco Javier Gallego, Nataliia Kussul, Sergii Skakun, Oleksii M. Kravchenko, Andrii Shelestov, Olga Kussul:
Efficiency assessment of using satellite data for crop area estimation in Ukraine. 22-30
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  - journals/aeog/ZhangGLSCR14
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Ying Zhang, Bert Guindon, Nicholas Lantz, Todd Shipman, Dennis Chao, Don Raymond:
Quantification of anthropogenic and natural changes in oil sands mining infrastructure land based on RapidEye and SPOT5. 31-43
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  - journals/aeog/ChampagneMDS14
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Catherine Champagne, Heather McNairn, Bahram Daneshfar, Jiali Shang:
A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. 44-52
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  - journals/aeog/EugenioMMF14
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Francisco Eugenio, Javier Martín Abasolo, Javier Marcello, E. Fraile-Nuez:
Environmental monitoring of El Hierro Island submarine volcano, by combining low and high resolution satellite imagery. 53-66
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  - journals/aeog/MontanherNBRS14
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Otávio C. Montanher, Evlyn M. L. M. Novo, Cláudio C. F. Barbosa, Camilo Daleles Rennó, Thiago S. F. Silva:
Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM. 67-77
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  - journals/aeog/HuangF14
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Xiaoman Huang, Mark A. Friedl:
Distance metric-based forest cover change detection using MODIS time series. 78-92

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