Memorias de investigación
Ponencias en congresos:
Comparison of fractal dimensions based on segmented NDVI fields obtained from different remote sensors.
Año:2012
Áreas de investigación
  • Matemáticas,
  • Ciencias naturales y ciencias de la salud,
  • Ciencias de la tierra,
  • Ciencia del suelo,
  • Agricultura
Datos
Descripción
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.
Internacional
Si
Nombre congreso
E.G.U. 2012 9th General Assembly.
Tipo de participación
960
Lugar del congreso
Viena, Austria
Revisores
Si
ISBN o ISSN
1029-7006
DOI
Fecha inicio congreso
22/04/2012
Fecha fin congreso
27/04/2012
Desde la página
1
Hasta la página
1
Título de las actas
Geophysical Research Abstracts Vol. 14
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • 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