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International Journal of Applied Earth Observation and Geoinformation, Volume 20

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Volume 20, February 2013

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  dblp key:
  - journals/aeog/Lasaponara13
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  - https://dblp.org/rec/journals/aeog/Lasaponara13
Rosa Lasaponara:
Geospatial analysis from space: Advanced approaches for data processing, information extraction and interpretation. 1-3
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  - journals/aeog/KerchoveLVG13
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Ruben Van De Kerchove, Stefaan Lhermitte, Sander Veraverbeke, Rudi Goossens:
Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains. 4-19
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  - journals/aeog/HorionCET13
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Stéphanie Horion, Yves Cornet, Michel Erpicum, Bernard Tychon:
Studying interactions between climate variability and vegetation dynamic using a phenology based approach. 20-32
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  - journals/aeog/FusilliCLPPS13
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Lorenzo Fusilli, M. O. Collins, Giovanni Laneve, Angelo Palombo, Stefano Pignatti, Federico Santini:
Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series. 33-41
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  dblp key:
  - journals/aeog/LanorteDLM13
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Antonio Lanorte, Maria Danese, Rosa Lasaponara, Beniamino Murgante:
Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis. 42-51
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  - journals/aeog/SedanoKMSV13
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Fernando Sedano, Pieter Kempeneers, Jesús San Miguel, Peter Strobl, Peter Vogt:
Towards a pan-European burnt scar mapping methodology based on single date medium resolution optical remote sensing data. 52-59
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  - journals/aeog/MitriG13
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George H. Mitri, Ioannis Z. Gitas:
Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery. 60-66
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  - journals/aeog/KhelifaKB13
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Sofiane Khelifa, Salem Kahlouche, Mohamed Faouzi Belbachir:
Analysis of position time series of GPS-DORIS co-located stations. 67-76
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  - journals/aeog/VolpiTBKB13
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Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone:
Supervised change detection in VHR images using contextual information and support vector machines. 77-85

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