The increase of satellite images resolution and the development of computer classification methods bring new extraction
information methods for urban/periurban vegetation based on synergy of low resolution images and high-resolution and
field investigation for urban vegetation distribution studies. The spatio-temporal distribution of vegetation is an
important component of the urban/periurban environment. Therefore, correct estimation of vegetation cover in
urban/suburban areas is a fundamental aspect in landcover/landuse analysis. In order to assess de urban green dynamics
the aim of this paper is to explore the potential of fractional vegetation cover (FVC) extracting from Landsat TM, ETM
and IKONOS remotely sensed data and in-situ measurements for Bucharest town, Romania. Based on the assumption
that pixel has a mosaic structure, have been introduced sub-pixel models for FVC estimation and a combined approach
of these based on landcover classification. The experimental result indicates that the accuracy of FVC estimation using
the proposed method can be up to 82.2%. The results suggest that this method may be generally useful for FVC
estimation in urban and periurban areas.
Multi-spectral and multi-temporal satellite imagery provide the most reliable technique of monitoring of different urban structures regarding the net radiation and heat fluxes associated with urbanization at the regional scale. Investigation of radiation properties, energy balance and heat fluxes is based on satellite data from various satellite sensors and in-situ monitoring data, linked to numerical models and quantitative biophysical information extracted from spatially distributed NDVI-data and net radiation. Based on Landsat TM, Landsat ETM and IKONOS satellite images were classified for Bucharest, Romania, urban land use/cover and analyzed surface biophysical parameters like urban surface temperature and NDVI for 1984 - 2005 period. Spatio-temporal changes of surface biophysical parameters were examined in association with landuse changes to illustrate how these parameters respond to rapid urban expansion in Bucharest and surrounding region. This study attempts to provide environmental awareness to urban planners in future urban development. The land cover information, properly classified, can provide a spatially and temporally explicit view of societal and environmental attributes and can be an important complement to in-situ measurements.
Air qualities studies in urban areas embrace several directions that are strongly associated with urban complexity. In the last centuries cities evolution implied changes in urbanization trends: urban sprawl has modified the relationship between cities and surroundings settlements. The existence and protection of urban green and open areas is promoted as a mean to improve the quality of life of their citizens and increase the satisfactory level of the inhabitants against pollution and noise adverse effects. This paper outlines the methods and approaches used in the EU research project Benefits of Urban Green Space (BUGS). The main target of BUGS is to assess the role of urban green spaces in alleviating the adverse effects of urbanization trends by developing an integrative methodology, ranging from participatory planning tools to numerical simulation models. The influence of urban structures on atmospheric pollutants distribution is investigated as a multi-scale problem ranging from micro to macro/regional scale. Traditionally, air quality models are applied on a single scale, seldom considering the joint effects of traffic network and urban development together. In BUGS, several numerical models are applied to cope with urban complexity and to provide quantitative and qualitative results. The differing input data requirements for the various models demanded a methodology which ensures a coherent data extraction and application procedure. In this paper, the stepwise procedure used for BUGS is presented after a general presentation of the research project and the models implied. A discussion part will highlight the statements induced by the choices made and a conclusive part bring to the stage some insights for future investigations.
Conference Committee Involvement (12)
Earth Resources and Environmental Remote Sensing/GIS Applications
27 September 2016 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
22 September 2015 | Toulouse, France
Earth Resources and Environmental Remote Sensing/GIS Applications
23 September 2014 | Amsterdam, Netherlands
Earth Resources and Environmental Remote Sensing/GIS Applications IV
23 September 2013 | Dresden, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
25 September 2012 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
20 September 2011 | Prague, Czech Republic
Earth Resources and Environmental Remote Sensing/GIS Applications
21 September 2010 | Toulouse, France
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX
31 August 2009 | Berlin, Germany
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
15 September 2008 | Cardiff, Wales, United Kingdom
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
17 September 2007 | Florence, Italy
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI
13 September 2006 | Stockholm, Sweden
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
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