Posidonia oceanica genetic and biometry mapping through high-resolution satellite spectral vegetation indices and sea-truth calibration

Flavio Borfecchia, Luigi de Cecco, Sandro Martini, Giulio Ceriola, Stelios Bollanos, George Vlachopoulos, Luigi M. Valiante, Alessandro Belmonte, Carla Micheli

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In the framework of Posidonia oceanica (PO) preservation activities, a small-scale restoration pilot project was implemented in 2005 at a Santa Marinella site to replace the loss of this important species of seagrass in this zone of the central Tyrrhenian coast via an innovative transplantation approach. In this context, taking into account the recent advances in the fields of high-resolution (HR) satellite/airborne remote-sensing and genetics laboratory analysis techniques, we propose this integrated methodology for monitoring changes in transplanted meadows in regard to perspective to provide support in the assessment of the entire local PO and seagrass population dynamic. According to specific information requirements in terms of radiometric and spectral/spatial resolution, the multispectral data currently available from the QuickBird polar satellite's four-band (red, green, and blue visible and near-infrared) HR sensor were exploited for methodology implementation using a practical 'image-based' approach to account for atmospheric and water column turbidity typical of this mid-coastal Mediterranean region. First, the extents and types of seagrass cover were suitably mapped, and then also the distributions of specific vegetation parameters related to PO dynamics and health were assessed by exploiting the remotely sensed satellite-derived radiance signals and point sea-truth calibration measurements of the bio-genetic parameters. In particular, we implemented maps of leaf area index, genetic similarity, and density Giraud indices corresponding to distributions of PO patches using multivariate and data-mining models (artificial neural network) based on appropriately preprocessed radiometric and auxiliary (bathymetry) input variables. © 2013 Copyright Taylor and Francis Group, LLC.
Original languageEnglish
Pages (from-to)4680 - 4701
Number of pages22
JournalInternational Joural of Remote Sensing
Volume34
Issue number13
DOIs
Publication statusPublished - 2013

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

Cite this