Tree species mapping with Airborne hyper-spectral MIVIS data: the Ticino Park study case

  • Authors:

  • M. Boschetti;L. Boschetti;S. Oliveri;L. Casati;I. Canova

  • Affiliations:

  • CNR-IREA, Istituto per il Rilevamento Elettromagnetico dell'Ambiente, 20133 Milano, Italy,DI. PRO.VE., Dipartimento diProduzione Vegetale, Facoltà di Agraria, Università di Milano, 20133 ...;CNR-IREA, Istituto per il Rilevamento Elettromagnetico dell'Ambiente, 20133 Milano, Italy,University of Maryland, Department of Geography, College Park, MD 20740;Parco Lombardo della Valle del Ticino, Milano, Italy,CRASL, Centro di Ricerche per l'Ambiente e lo Sviluppo sostenibile della Lombardia, Università Cattolica del Sacro Cuore, 25121 Brescia, I ...;Parco Lombardo della Valle del Ticino, Milano, Italy;Parco Lombardo della Valle del Ticino, Milano, Italy

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2007

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Abstract

The present work describes the procedure, which was studied for mapping the spatial distribution of tree forest communities in the Ticino Park located in Northern Italy. Ten overlapping airborne runs of the Multispectral Infrared Visible Imaging Spectrometer (MIVIS) were acquired to cover the entire park extent (920 km2). An integrated supervised classification procedure was developed using band ratios in the red edge portion (REP) of the spectrum and training collected by field survey and visual interpretation. Validation performed with a robust random stratified sampling scheme and taking into account the unequal distribution of the classes showed that, on large-scale application, high-resolution remotely sensed images can generate, in a cost-effective manner, accurate (overall accuracy 75%) local-scale thematic products.