Descripción
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Vegetation indexes, such as Normalized Difference Vegetation Index (NDVI) and enhanced Vegetation index (EVI), can been used to estimate root zone soil moisture through high resolution remote sensing images. These indexes are based in red (R), near infrared (NIR) and blue (B) wavelengths data. In this work we have studied the scaling properties of both vegetation indexes analyzing the information contained in two satellite data: Landsat-7 and Ikonos. Because of the potential capacity for systematic observations at various scales, remote sensing technology extends possible data archives from present time to over several decades back. For this advantage, enormous efforts have been made by researchers and application specialists to delineate vegetation indexes from local scale to global scale by applying remote sensing imagery. To study the influence of the spatial resolution the vegetation indexes map estimated with Ikonos-2 coded in 8 bits, with a resolution of 4m, have been compared through a multifractal analysis with the ones obtained with Lansat-7 8 bits, of 30 m. resolution, on the same area of study. The scaling behaviour of NDVI and EVI presents several differences that will be discussed based on the multifractal parameters extracted from the analysis. | |
Internacional
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Si |
Nombre congreso
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European Geosciences Union General Assembly 2017 [https://egu2017.eu/] |
Tipo de participación
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960 |
Lugar del congreso
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Vienna (Austria) |
Revisores
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Si |
ISBN o ISSN
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1607-7962 |
DOI
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Fecha inicio congreso
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23/04/2017 |
Fecha fin congreso
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28/04/2017 |
Desde la página
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19170 |
Hasta la página
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19170 |
Título de las actas
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Geophysical Research Abstracts, Vol. 19, EGU 2017 [www.geophysical-research-abstracts.net] |