Αn object-oriented approach for wetland habitats inventory and assessment using ALOS AVNIR-2 and Uunmanned Aerial Vehicle (UAV) data
Moschos Vogiatzis(1), Christos Carydas(1), Thomas Alexandridis(1) and George Zalidis(2)
(1) Aristotle University of Thessaloniki, School of Agronomy, Lab of Remote Sensing & GIS, 54124 Thessaloniki, Greece
(2) Aristotle University of Thessaloniki, School of Agronomy, Lab of Applied Soil Science, 54124 Thessaloniki, Greece
A hierarchical process for a Mediterranean wetland habitats inventory and assessment using a rule-based object-oriented procedure applied to medium spatial resolution satellite is discussed. The method is based on spectral, contextual and spatial criteria, coupled with knowledge of ecological conditions of the wetland. The main objective of this research was to evaluate object-oriented methodology performance to assess wetland condition and discriminate wetland vegetation species and habitats as defined by Natura 2000 framework. A medium spatial resolution ALOS AVNIR-2 image, captured in July 2007, and coincident field data covering the wetland area of lakes Koronia-Volvi in Greece, was used in this analysis. An innovative statistical design is presented and a classification scheme is introduced. Issues regarding shape and size of sampling units, configuration and their spatial random distribution by stratum are addressed.
Analysis of ALOS AVNIR-2 imagery using object-oriented methodology and a sound statistical design has demonstrated it is possible to discriminate among vegetation species and habitat types and assess their condition. Thematic accuracy of habitats mapping was assessed using UAV and field data acquired during intensive field survey.
The work presented was supported by the WETMUST project (Ιntegrated multiple level wetlands monitoring system using innovative technologies, INTERREG IIIB ARCHIMED) and European Space Agency (ESA).