Karin Pfeffer
Orcid: 0000-0002-6080-1323
According to our database1,
Karin Pfeffer
authored at least 24 papers
between 2010 and 2023.
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Bibliography
2023
The Use of ICTs to Support Social Participation in the Planning, Design and Maintenance of Public Spaces in Latin America.
ISPRS Int. J. Geo Inf., June, 2023
2022
Eliciting design principles using a data justice framework for participatory urban water governance observatories.
Inf. Technol. Dev., 2022
The Observatorio Metropolitano de Agua para Lima-Callao: A Digital Platform for Water and Data Justice.
Proceedings of the Freedom and Social Inclusion in a Connected World, 2022
2021
OGITO, an Open Geospatial Interactive Tool to support collaborative spatial planning with a maptable.
Comput. Environ. Urban Syst., 2021
2020
Towards Supporting Collaborative Spatial Planning: Conceptualization of a Maptable Tool through User Stories.
ISPRS Int. J. Geo Inf., 2020
2019
Comput. Environ. Urban Syst., 2019
Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks.
Remote. Sens., 2019
ISPRS Int. J. Geo Inf., 2019
ISPRS Int. J. Geo Inf., 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Detection of Informal Graveyards in Lima using Fully Convolutional Network with VHR Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019
2018
Capturing the Urban Divide in Nighttime Light Images From the International Space Station.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
ISPRS Int. J. Geo Inf., 2018
2017
Comput. Environ. Urban Syst., 2017
Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai.
Remote. Sens., 2017
Proceedings of the Joint Urban Remote Sensing Event, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Remote. Sens., 2016
2015
Proceedings of the Joint Urban Remote Sensing Event, 2015
2014
Environ. Model. Softw., 2014
2011
Proceedings of the Joint Urban Remote Sensing Event, 2011
2010
Understanding heterogeneity in metropolitan India: The added value of remote sensing data for analyzing sub-standard residential areas.
Int. J. Appl. Earth Obs. Geoinformation, 2010