Spatial heterogeneity in urban ecosystems: reconceptualizing land cover and a framework for classification

ML Cadenasso, STA Pickett… - Frontiers in Ecology and …, 2007 - Wiley Online Library
Urban areas are heterogeneous. Transitions in architecture and building density, vegetation,
economic activity, and culture can occur at the scale of city blocks. Ecologists have been …

SO–CNN based urban functional zone fine division with VHR remote sensing image

W Zhou, D Ming, X Lv, K Zhou, H Bao… - Remote Sensing of …, 2020 - Elsevier
Functional zone reflects city's spatial structures, and as a carrier of social and economic
activities, it is of critical significance to urban management, resource allocation and …

Classification of the wildland–urban interface: A comparison of pixel-and object-based classifications using high-resolution aerial photography

C Cleve, M Kelly, FR Kearns, M Moritz - Computers, Environment and …, 2008 - Elsevier
The expansion of urban development into wildland areas can have significant
consequences, including an increase in the risk of structural damage from wildfire. Land-use …

Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction

D Flanders, M Hall-Beyer… - Canadian Journal of …, 2003 - Taylor & Francis
La classification des pixels isolés n'exploite de façon adéquate ou convéniente ni les
connaissances des experts ni l'information contextuelle. Les techniques de traitement de …

[PDF][PDF] Segmentation of high-resolution remotely sensed data-concepts, applications and problems

J Schiewe - … Archives of Photogrammetry Remote Sensing and …, 2002 - Citeseer
Segmentation algorithms have already been recognized as a valuable and complementary
approach that similar to human operators perform a region-based rather than a point-based …

[HTML][HTML] Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858–2020

P Ettehadi Osgouei, E Sertel, ME Kabadayı - Scientific Reports, 2022 - nature.com
Land surface of the Earth has been changing as a result of human induced activities and
natural processes. Accurate representation of landscape characteristics and precise …

A hybrid object-based classification approach for mapping urban sprawl in periurban environment

A Jacquin, L Misakova, M Gay - Landscape and urban planning, 2008 - Elsevier
With the projected global increase of urbanization, pressure on land availability for urban
use will increase. In areas where urbanization is not controlled, the concentration of human …

Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View

W Zhang, W Li, C Zhang, DM Hanink, X Li… - … , Environment and Urban …, 2017 - Elsevier
Urban land use information is increasingly important for a variety of purposes. With their
increasing coverage and availability, airborne light detection and ranging (LiDAR) data, high …

[PDF][PDF] A review of the effectiveness of spatial information used in urban land cover classification of VHR imagery

B Salehi, Y Ming Zhong, V Dey - International Journal of …, 2012 - researchgate.net
Land cover classification qfvery high resahutian (VHF) imagery in urba areas is a extremehv
challenging task, because of the low intra-class (vithin-class) and high inter-class (between …

[HTML][HTML] A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change

MS Roodposhti, J Aryal, BA Bryan - Environmental modelling & software, 2019 - Elsevier
Despite recent advances in quantifying land-use/cover change (LUCC) transition potential,
transition rules are often not transparent and uncertainty is rarely made explicit. Here, we …