GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments

MA Aguilar, MM Saldaña, FJ Aguilar - International Journal of …, 2013 - Taylor & Francis
The latest breed of very high resolution (VHR) commercial satellites opens new possibilities
for cartographic and remote-sensing applications. In fact, one of the most common …

[HTML][HTML] Forest road detection using LiDAR data and hybrid classification

S Buján, J Guerra-Hernández, E González-Ferreiro… - Remote Sensing, 2021 - mdpi.com
Knowledge about forest road networks is essential for sustainable forest management and
fire management. The aim of this study was to assess the accuracy of a new hierarchical …

Land Use Classification from Lidar Data and Ortho‐Images in a Rural Area

S Buján, E González‐Ferreiro… - The …, 2012 - Wiley Online Library
Obtaining information on the distribution of rural landscape types is an active research topic
within Spanish rural studies. This paper presents a new hierarchical object‐based …

Exploring the relationship between urbanization and the eco-environment: a case study of Beijing

Y Huang, Q Qiu, Y Sheng, X Min, Y Cao - Sustainability, 2019 - mdpi.com
Beijing is one of the most developed cities in China and has experienced a series of
environmental problems. In accordance with the Major Function Zone planning, Beijing is …

Land cover and impervious surface extraction using parametric and non-parametric algorithms from the open-source software R: An application to sustainable urban …

D La Rosa, D Wiesmann - GIScience & remote sensing, 2013 - Taylor & Francis
Detailed urban land-cover maps are essential information for sustainable planning. Land-
cover maps assist planners in designing strategies for the optimisation of urban ecosystem …

Optimizing object-based classification in urban environments using very high resolution GeoEye-1 imagery

MA Aguilar, R Vicente, FJ Aguilar… - ISPRS Annals of …, 2012 - isprs-annals.copernicus.org
The latest breed of very high resolution (VHR) commercial satellites opens new possibilities
for cartographic and remote sensing applications. In fact, one of the most common …

Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data

B Beaumont, T Grippa, M Lennert… - Journal of Applied …, 2017 - spiedigitallibrary.org
Encouraged by the EU INSPIRE directive requirements and recommendations, the Walloon
authorities, similar to other EU regional or national authorities, want to develop operational …

External geo-information in the segmentation of VHR imagery improves the detection of imperviousness in urban neighborhoods

K Verbeeck, M Hermy, J Van Orshoven - International Journal of Applied …, 2012 - Elsevier
Object-based image analysis (OBIA) has become an established way to detect
imperviousness and other land cover classes from very high resolution (VHR) multispectral …

Classification of rural landscapes from low-density lidar data: is it theoretically possible?

S Buján, E González-Ferreiro… - … journal of remote …, 2013 - Taylor & Francis
Lidar technology has become an important data source in 3D terrain modelling. In Spain, the
National Plan for Aerial Orthophotography will soon release public low-density lidar data …

A modified object-oriented classification algorithm and its application in high-resolution remote-sensing imagery

Z Chen, G Wang, J Liu - International Journal of Remote Sensing, 2012 - Taylor & Francis
High-resolution satellite images offer abundant information on the Earth's surface for remote-
sensing applications. The traditional pixel-based image classification method only used by …