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Memorias de investigación
Ponencias en congresos:
Multiscaling of vegetative indexes from remote sensing images obtained at different spatial resolutions
Año:2017
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
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
Si
Nombre congreso
European Geosciences Union General Assembly 2017 [https://egu2017.eu/]
Tipo de participación
960
Lugar del congreso
Vienna (Austria)
Revisores
Si
ISBN o ISSN
1607-7962
DOI
Fecha inicio congreso
23/04/2017
Fecha fin congreso
28/04/2017
Desde la página
19170
Hasta la página
19170
Título de las actas
Geophysical Research Abstracts, Vol. 19, EGU 2017 [www.geophysical-research-abstracts.net]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Carmelo Alonso Jimenez (UPM)
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: Ignacio Zuñiga (Universidad Nacional de Educación a Distancia)
  • Autor: Rosa Maria Benito Zafrilla (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM). Centro Mixto UPM-AGROMUTUA-ENESA
  • Departamento: Ingeniería Agroforestal
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