Monika Kuffer
Monika Kuffer
Dirección de correo verificada de - Página principal
Citado por
Citado por
Slums from space—15 years of slum mapping using remote sensing
M Kuffer, K Pfeffer, R Sliuzas
Remote Sensing 8 (6), 455, 2016
Extraction of slum areas from VHR imagery using GLCM variance
M Kuffer, K Pfeffer, R Sliuzas, I Baud
IEEE Journal of selected topics in applied earth observations and remote …, 2016
Understanding heterogeneity in metropolitan India: The added value of remote sensing data for analyzing sub-standard residential areas
I Baud, M Kuffer, K Pfeffer, R Sliuzas, S Karuppannan
International Journal of Applied Earth Observation and Geoinformation 12 (5 …, 2010
The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator
C Kuffer, Monika and Wang, Jiong and Nagenborg, Michael and Pfeffer, Karin ...
ISPRS International Journal of Geo-Information 7 (11), 2018
The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery
M Kuffer, J Barros, RV Sliuzas
Computers, Environment and Urban Systems 48, 138-152, 2014
The temporal dynamics of slums employing a CNN-based change detection approach
R Liu, M Kuffer, C Persello
Remote sensing 11 (23), 2844, 2019
Urban morphology of unplanned settlements: The use of spatial metrics in VHR remotely sensed images
M Kuffer, J Barrosb
Procedia Environmental Sciences 7, 152-157, 2011
An integrative methodology to improve brownfield redevelopment planning in Chinese cities: A case study of Futian, Shenzhen
F Cheng, S Geertman, M Kuffer, Q Zhan
Computers, environment and urban systems 35 (5), 388-398, 2011
Machine learning-based slum mapping in support of slum upgrading programs: The case of Bandung City, Indonesia
G Leonita, M Kuffer, R Sliuzas, C Persello
Remote sensing 10 (10), 1522, 2018
Because space matters: conceptual framework to help distinguish slum from non-slum urban areas
R Lilford, C Kyobutungi, R Ndugwa, J Sartori, SI Watson, R Sliuzas, ...
BMJ global health 4 (2), e001267, 2019
Need for an integrated deprived area “slum” mapping system (IDEAMAPS) in low-and middle-income countries (LMICs)
DR Thomson, M Kuffer, G Boo, B Hati, T Grippa, H Elsey, C Linard, ...
Social Sciences 9 (5), 80, 2020
The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
M Kuffer, DR Thomson, G Boo, R Mahabir, T Grippa, S Vanhuysse, ...
Remote sensing 12 (6), 982, 2020
Capturing the diversity of deprived areas with image-based features: The case of Mumbai
M Kuffer, K Pfeffer, R Sliuzas, I Baud, M Van Maarseveen
Remote sensing 9 (4), 384, 2017
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review
A Abascal, N Rothwell, A Shonowo, DR Thomson, P Elias, H Elsey, ...
Computers, environment and urban systems 93, 101770, 2022
Coupling uncertainties with accuracy assessment in object-based slum detections, case study: Jakarta, Indonesia
J Pratomo, M Kuffer, J Martinez, D Kohli
Remote sensing 9 (11), 1164, 2017
Identifying a slums’ degree of deprivation from VHR images using convolutional neural networks
A Ajami, M Kuffer, C Persello, K Pfeffer
Remote Sensing 11 (11), 1282, 2019
Modelling urban traffic air pollution dispersion
G Wang, FHM Van den Bosch, M Kuffer
ITC 37, 153-158, 2008
Open spaces and risk perception in post-earthquake Kathmandu city
SR Shrestha, R Sliuzas, M Kuffer
Applied geography 93, 81-91, 2018
A GIS based approach for 3D noise modelling using 3D city models
V Kurakula, A Skidmore, H Kluijver, J Stoter, K Dabrowska Zielinska, ...
ITC, 2007
A participatory approach to monitoring slum conditions: an example from Ethiopia
T Lemma, R Sliuzas, M Kuffer
Participatory learning and action 54 (1), 58-66, 2006
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20