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The information in a pixel of satellite data within the instantaneous Field of View (IFOV) of the sensor is a mixture of different land cover types, and the individual land cover components can be est...
Woodland detection in an urban environment was conducted using Ikonos multispectral images over the city of Sherbrooke (Quebec, Canada). The detection process is composed of two parts. The first is a ...
The aim of the study is to develop automatic procedures for the identification of urbanized and not urbanized areas using high spatial resolution remote sensing data. We examine the potential of panch...
Land cover and land use changes associated with urbanization are important drivers of local geological, hydrological, ecological, and climatic change.Quantification and monitoring of these changes in ...
BUILDING MODELING AND VISUALIZATION FOR URBAN ENVIRONMENT.
This study investigated the influences of urbanization on urban ecological and thermal environment as well as the relationships of all the biophysical parameters with each other utilizing multi-tempor...
The Boom en Beeld project aims at developing a methodology for change detection of tree objects in urbanareas using imagery. This paper focuses on one aspect of this methodology, the prediction of the...
This research presents a time-effective approach for mapping streambed and riparian zone extent from high spatial resolution LiDAR derived products, i.e. digital terrain model, ...
Municipalities need information on the location and state of the trees in their area, to maintain and manage these resources. Trees defined and handled as objects would therefore better match this inf...

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