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University of Szeged (2020)

Assessment of urban vegetation changes on different scales in a semi-arid region using satellite imageries : a case study of Erbil city, Iraq

Shwan O. Hussein

Titre : Assessment of urban vegetation changes on different scales in a semi-arid region using satellite imageries : a case study of Erbil city, Iraq

Auteur : Shwan O. Hussein

Université de soutenance : University of Szeged

Grade : Doctor 2020

Descriptif
The current dissertation focuses in this research field, and it uses satellite imagery technologies to study the spatial and temporal distribution of vegetation area in a semiarid region, such as the city of Erbil in Kurdistan, Iraq has experienced an intense urbanisation process and providing enough infrastructure and maintaining the quality of urban services stand out as essential problems. While covering all dimensions of urbanisation problems is out of scope for the current dissertation, this research project focuses on the urban vegetation dimension. It conducts a detailed analysis of the evolution of surface topology, and especially the vegetation areas, in the city covering the period of 1990–2015. The distribution of green spaces within the city limits is also displayed as it matters for the inhabitants’ quality of life. The measurement of vegetation areas involves various parameters like the “frequency, cover, 7 density, and biomass” of a specific area (Bonham, 2013). The primary technological tool for this purpose is the use of remote sensing using satellite imagery technologies. Bonham (2013) states that “spectral imagery from aerial and satellite platforms can be used effectively to describe vegetation-environmental systems as a combination within pixels produced by the spectral imagery. These pixels can be ground located within a reasonable precision level, sampled by the use of quadrats, lines, and/or points to obtain a description of species composition, biomass, density, and/or ground cover”. Among the remote sensing technologies based on satellite imagery, there are various sensors that differ in terms of coverage and precision. The current dissertation uses data from three different sources, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, Landsat satellite, and Pleiades satellite. So, these three data sets provide a mapping from larger to smaller scale, with rising resolution and precision levels. In this way, various indices, statistical measures, and graphical representations produced at different spatial scales.

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Page publiée le 20 mai 2021