Articles | Volume 24, issue 2
https://doi.org/10.5194/npg-24-141-2017
https://doi.org/10.5194/npg-24-141-2017
Research article
 | 
16 Mar 2017
Research article |  | 16 Mar 2017

Spatial and radiometric characterization of multi-spectrum satellite images through multi-fractal analysis

Carmelo Alonso, Ana M. Tarquis, Ignacio Zúñiga, and Rosa M. Benito

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AR by Ana Maria Tarquis on behalf of the Authors (03 Feb 2017)  Author's response   Manuscript 
ED: Publish as is (22 Feb 2017) by Asim Biswas
AR by Ana Maria Tarquis on behalf of the Authors (23 Feb 2017)
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Short summary
NDVI and EVI vegetation indexes, estimated from satellite images, can been used to estimate root zone soil moisture. However, depending on the spatial and radiometric resolution of the sensors used, estimations could change. In this work, images taken by satellites IKONOS-2 and LANDSAT-7 of the same location are compared on the four bands involved in these vegetation indexes. The results show that spatial resolution has a similar scaling effect in the four bands, but not radiometric resolution.