Slums from space—15 years of slum mapping using remote sensing
The body of scientific literature on slum mapping employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …
increased since the availability of more very-high-resolution (VHR) sensors. This improves …
A review of regional science applications of satellite remote sensing in urban settings
This paper reviews the potential applications of satellite remote sensing to regional science
research in urban settings. Regional science is the study of social problems that have a …
research in urban settings. Regional science is the study of social problems that have a …
A critical review of high and very high-resolution remote sensing approaches for detecting and mapping slums: Trends, challenges and emerging opportunities
Slums are a global urban challenge, with less developed countries being particularly
impacted. To adequately detect and map them, data is needed on their location, spatial …
impacted. To adequately detect and map them, data is needed on their location, spatial …
Urban slum detection using texture and spatial metrics derived from satellite imagery
Slum detection from satellite imagery is challenging due to the variability in slum types and
definitions. This research aimed at developing a method for slum detection based on the …
definitions. This research aimed at developing a method for slum detection based on the …
Machine learning comparison between WorldView-2 and QuickBird-2-simulated imagery regarding object-based urban land cover classification
The objective of this study is to compare WorldView-2 (WV-2) and QuickBird-2-simulated
(QB-2) imagery regarding their potential for object-based urban land cover classification …
(QB-2) imagery regarding their potential for object-based urban land cover classification …
Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis
Detailed, up-to-date information on intra-urban land cover is important for urban planning
and management. Differentiation between permeable and impermeable land, for instance …
and management. Differentiation between permeable and impermeable land, for instance …
VIIRS nighttime light data for income estimation at local level
The aim of the paper is to develop a model for the real-time estimation of local level income
data by combining machine learning, Earth Observation, and Geographic Information …
data by combining machine learning, Earth Observation, and Geographic Information …
Addressing urban expansion using feature-oriented spatial data in a peripheral area of Ulaanbaatar, Mongolia
N Tsutsumida, I Saizen, M Matsuoka, R Ishii - Habitat international, 2015 - Elsevier
Because of the lack of time-series spatial data on urban components, urban expansion in
developing countries has usually been studied using a pixel-based approach, despite the …
developing countries has usually been studied using a pixel-based approach, despite the …
[PDF][PDF] Identifying and classifying slum areas using remote sensing
D Kohli - 2015 - research.utwente.nl
My final but most important task is to acknowledge all those people that have contributed in
the culmination of this thesis. Though it is nearly an impossible task to thank everybody who …
the culmination of this thesis. Though it is nearly an impossible task to thank everybody who …
Special Feature–Geographic object-based image analysis
K. Johansena*, R. Bartolob and S. Phinnc aCentre for Spatial Environmental Research,
School of Geography, Planning and Environmental Management, The University of …
School of Geography, Planning and Environmental Management, The University of …