Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Comparison of fractal dimensions based on segmented NDVI fields obtained from different remote sensors.
Year:2012
Research Areas
  • Mathematics,
  • Natural sciences and health sciences,
  • Earth sciences,
  • Soil science,
  • Agriculture
Information
Abstract
Satellite image data have become an important source of information for monitoring vegetation and mapping land cover at several scales. Beside this, the distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Various vegetation indices have been developed for qualitative and quantitative assessment of vegetation using remote spectral measurements. In particular, sensors with spectral bands in the red (RED) and near-infrared (NIR) lend themselves well to vegetation monitoring and based on them [(NIR - RED) / (NIR + RED)] Normalized Difference Vegetation Index (NDVI) has been widespread used. Given that the characteristics of spectral bands in RED and NIR vary distinctly from sensor to sensor, NDVI values based on data from different instruments will not be directly comparable. The spatial resolution also varies significantly between sensors, as well as within a given scene in the case of wide-angle and oblique sensors. As a result, NDVI values will vary according to combinations of the heterogeneity and scale of terrestrial surfaces and pixel footprint sizes. Therefore, the question arises as to the impact of differences in spectral and spatial resolutions on vegetation indices like the NDVI. The aim of this study is to establish a comparison between two different sensors in their NDVI values at different spatial resolutions.
International
Si
Congress
E.G.U. 2012 9th General Assembly.
960
Place
Viena, Austria
Reviewers
Si
ISBN/ISSN
1029-7006
Start Date
22/04/2012
End Date
27/04/2012
From page
1
To page
1
Geophysical Research Abstracts Vol. 14
Participants
  • Autor: C. Alonso
  • Autor: R.M. Benito
  • Autor: Ana Maria Tarquis Alfonso (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
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