Multi-modal knowledge base generation from very high resolution satellite imagery for habitat mapping

Abstract

Monitoring of ecosystems entails the evaluation of contributing factors by the expert ecologist. The aim of this study is to examine to what extent the quantitative variables, calculated solely by the spectral and textural information of the space-borne image, may reproduce verified habitat maps. 555 spectral and texture attributes are extracted and calculated from the image. Results reached an overall accuracy of 65% per object, 76% per pixel, and 77% in reproducing the original objects with segmentation. Taking into consideration the large number of different habitats queried and the lack of any ancillary information the results suggest the discriminatory power of the finally selected attributes. Potential and limitations are discussed.


Tutti gli autori

  • Manakos I.; Technitou E.; Petrou Z.; Karydas C.; Tomaselli V.; Veronico G.; Mountrakis G.

Titolo volume/Rivista

European Journal of Remote Sensing


Anno di pubblicazione

2016

ISSN

2279-7254

ISBN

Non Disponibile


Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile


Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile


Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile