Scientific profile:

Zahra (“Ani”) Dabiri graduated at the Department of Engineering of Environment, with a major in Forestry,at the University of Guilan, Iran in 2001. She got her Master of Sciencedegree in Geoinformatics at the department of Geography, University of Pune, India in 2010. Her thesis covered the change detection of morphological parameters and site suitability for sub-watershed areas, Pune, India.

She is currently a PhD student in the DK GIScience program at the University of Salzburg, Austria.

In 2011, she participated in two projects at the center of Geoinformatics Z_GIS:

• Modelling and predictingwater scarcity in the Alpine region (http://www.alpwaterscarce.eu/)
• Analysis and mapping natural snowfall probabilities and technical snow production possibilities from past to future

Her major research interests are focused on the extraction of information from the integration of remote sensing and GIS, particularly based on the concept of object based image analysis (OBIA). Her main field of research is the visualization and monitoring of the environment in orderto improve the understanding of the changes in the physical, as well as the social landscape.

Research Cluster: Representation and Data Models

PhD Thesis Topic: Multiscale representation of high spatial and spectral resolution Earth observation imagery with object based image analysis

Abstract:

Landscape is a complex ecological system that operates over broad spatiotemporal scales. Processes and functions in landscapes are scale dependent. Remote sensing provides powerful means to measure, and monitor Earth’s surface in multiple scales, from local to regional to global. In order to understand the relationship between image objects and landscape elements (patches) theories are needed which reveal complexity of landscapes and remote sensing such as hierarchical organization methodologies. 

In this work, hyperspectral and high spatial resolution images will be used to utilize the potential of remote sensing to deal with landscape’s complexity. Object based image analysis (OBIA) will be used as a framework for analysis and classification of high resolution imageries. This work will be three-fold:1) classification of hyperspectral imagery (more than 200 contiguous narrow spectral bands), 2) classification of high-spatial resolution imagery (spatial resolution less than 5 meter) and 3) study the behavior of high spatial resolution and hyperspectral imagery regarding to the scale of observation, multiscale presentation of objects and cross scaling of information with OBIA

Publications:

Research Areas: