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Prediction of Socio-Economic Indicators for Urban Planning Using VHR Satellite Imagery and Spatial Analysis

Gebhard Warth, Andreas Braun, Oliver Assmann, Kevin Fleckenstein, Volker Hochschild
2020 Remote Sensing  
Therefore, we developed an approach to generate relevant parameters for infrastructure planning by means of remote sensing and spatial analysis.  ...  An interest for urban planning lies on socio-economic conditions, as consumption and production of disposable goods are related to economic possibilities.  ...  The findings of this study, to predict socio-economic information by using VHR images, have shown the potential to support urban planning.  ... 
doi:10.3390/rs12111730 fatcat:2pule2nljrbc5jiudx3rru3tjm

Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

Stefanos Georganos, Oscar Brousse, Sébastien Dujardin, Catherine Linard, Daniel Casey, Marco Milliones, Benoit Parmentier, Nicole P M van Lipzig, Matthias Demuzere, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga (+3 others)
2020 International Journal of Health Geographics  
The RF models integrated physical and socio-economic information to predict PfPR2-10 across the urban landscape.  ...  In this research, we investigate the contribution of very-high-resolution satellite-derived land-use, land-cover and population information for modeling the spatial distribution of urban malaria prevalence  ...  Acknowledgements All persons involved in the analysis and interpretation of data as well as drafting and revision of the manuscript are included in the authorship of the paper.  ... 
doi:10.1186/s12942-020-00232-2 pmid:32958055 pmcid:PMC7504835 fatcat:t5uwnlg6ffg7ro7brentcvtxeu

Earth Observations and Statistics: Unlocking Sociodemographic Knowledge through the Power of Satellite Images

Paloma Merodio Gómez, Olivia Jimena Juarez Carrillo, Monika Kuffer, Dana R. Thomson, Jose Luis Olarte Quiroz, Elio Villaseñor García, Sabine Vanhuysse, Ángela Abascal, Isaac Oluoch, Michael Nagenborg, Claudio Persello, Patricia Lustosa Brito
2021 Sustainability  
The intersection of very rapid socio-economic and demographic dynamics are often insufficiently understood, and relevant data for understanding them are commonly unavailable, dated, or too coarse (resolution  ...  The continuous urbanisation in most Low-to-Middle-Income-Country (LMIC) cities is accompanied by rapid socio-economic changes in urban and peri-urban areas.  ...  For this purpose, VHR imagery is fundamental to map building objects that are required for many urban morphological analysis purposes.  ... 
doi:10.3390/su132212640 fatcat:wgxb5lv5mrgsrbyhd7ybmsoqsq

Object-Based Image Analysis of VHR Satellite Imagery for Population Estimation in Informal Settlement Kibera-Nairobi, Kenya [chapter]

Tatjana Veljanovski, Ura Kanjir, Peter Pehani, Kritof Otir, Primo Kovai
2012 Remote Sensing - Applications  
More can now be done at least to monitor the extent and consequences of rapid urban growth.  ...  Satellite images taken with very high resolution (VHR) sensors, i.e. resolution around and below 1 m, enable skilled user to identify and extract buildings, trees, narrow paths and other objects of comparable  ...  Object-Based Image Analysis of VHR Satellite Imagery for Population Estimation in Informal Settlement Kibera-Nairobi, Kenya Urban growth pattern through years 2006, 2008 and 2009 for Raila village.  ... 
doi:10.5772/37869 fatcat:ijdqm7hmwjgqtddvflexlzg4ay

Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future

Ana Andries, Stephen Morse, Richard J. Murphy, Jim Lynch, Emma R. Woolliams
2022 Sustainability  
(EO) to monitor both environmental and socio-economic SDG indicators; there is a potential to populate 108 indicators by using EO data.  ...  Here, we reviewed the data challenges and costs associated with obtaining traditional data and satellite data (particularly for developing countries), emphasizing the benefits of using satellite data,  ...  learning and VHR imagery focused on proxy indicators, such as car counts, building density, green space, and more, which have all been used in models to predict the spatial variability of poverty across  ... 
doi:10.3390/su14031191 fatcat:txkmeys5obfghindhtqk5bhquu

Population Growth and Its Expression in Spatial Built-up Patterns: The Sana'a, Yemen Case Study

Gunter Zeug, Sandra Eckert
2010 Remote Sensing  
This hypothesis was used together with census data for 1994 and 2004 to estimate population figures for 1989 and 2007, resulting in overall growth of about 240%.  ...  In light of rapid global urbanisation, monitoring and mapping of urban and population growth is of great importance. Population growth in Sana'a was investigated for this reason.  ...  Acknowledgements The authors would like to thank the Al-Saylah-Project, Capital Secretariat of Sana'a, for supporting our field mission and for providing the census and vector data.  ... 
doi:10.3390/rs2041014 fatcat:nq75pxqvevce5ossgo2fk7ass4

Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs

Dana R. Thomson, Catherine Linard, Sabine Vanhuysse, Jessica E. Steele, Michal Shimoni, José Siri, Waleska Teixeira Caiaffa, Megumi Rosenberg, Eléonore Wolff, Taïs Grippa, Stefanos Georganos, Helen Elsey
2019 Journal of urban health  
Area-level indicators of the determinants of health are vital to plan and monitor progress toward targets such as the Sustainable Development Goals (SDGs).  ...  satellite imagery, aggregated anonymized mobile phone data, and other sources are also becoming available at granular geographic scale.  ...  about their data needs and ideas for improving area-level urban health determinants datasets.  ... 
doi:10.1007/s11524-019-00363-3 pmid:31214975 pmcid:PMC6677870 fatcat:pb3izydqkrbqrfebnzxmc4s4o4

Special Issue "Remote-Sensing-Based Urban Planning Indicators"

Monika Kuffer, Karin Pfeffer, Claudio Persello
2021 Remote Sensing  
We are living in an urban age [...]  ...  Conflicts of Interest: The authors declare no conflict of interest.  ...  They serve to derive various physical, climatic, and socio-economic indicators in support of urban planning, emergency response, and decision making [23] .  ... 
doi:10.3390/rs13071264 fatcat:36iog4w2erbd3lamblb2tvzzhi

Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy

Ana Andries, Richard J. Murphy, Stephen Morse, Jim Lynch
2021 Sustainability  
used to examine the extent to which EO satellite imagery, particularly very high resolution (VHR) imagery, could be used for habitat assessment, via visual interpretation and automated methods.  ...  We show that EO satellite products at 10 m resolution and other geospatial datasets enabled the identification and location of broadly suitable habitat for these species and the use of VHR imagery (at  ...  We thank the National Physical Laboratory (NPL) for co-funding as the CASE award partner and, in particular, for co-supervision by Emma Woolliams of NPL for AA's PhD research.  ... 
doi:10.3390/su13169105 fatcat:zqpjccdbcbfj5jfqijkpblme3e

Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa

Walter Musakwa, Adriaan Van Niekerk
2013 Cities  
The availability of VHR 0.5 m spatial resolution satellite imagery holds great potential for assisting urban planning because it has the required finer spatial resolution to discriminate urban features  ...  Data fusion of LIDAR data and VHR satellite imagery has yielded better-quality information than using a single data source for urban monitoring.  ...  APPENDIX A CD containing data for evaluation the potential of earth observation for supporting sustainable urban land use planning  ... 
doi:10.1016/j.cities.2013.01.004 fatcat:glyekkpl3vgy3l23z7yu7xfxfi


J. G. Matabishi, A. Braun, G. Warth
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The development and increase of multi and hyperspectral sensors in the recent years have significantly improved urban structure analysis and interpretation.  ...  The current study is the first to investigate the potential of DESIS hyperspectral images for the detection or identification of urban roof materials.  ...  Volker Hochschild, for the opportunity to conduct my internship on this project and the valuable inputs and contributions towards the completion of this article.  ... 
doi:10.5194/isprs-archives-xlvi-1-w1-2021-39-2022 fatcat:wpowkj2ygna2vibdadadiiuxeu

Copernicus Core Services Interface and Relevant Data Portfolio Guide (CURE Deliverable D2.1)

Katerina Jupova, Michal Opletal, Tomas Soukup
2020 Zenodo  
It is based on detailed analysis of stakeholder needs and requirements, further reflecting these findings and providing detailed guidance both on: a) content side, providing detailed specification of each  ...  relevant data source for each particular CURE application implementation for particular front-runner pilot cities; and b) technical side, outlining concept of CURE Interface providing support by means  ...  needs, socio-economic development, etc.  ... 
doi:10.5281/zenodo.4738952 fatcat:moid7wl4svenrcqb7u76idcoeu

Time-Series Satellite Imagery Demonstrates the Progressive Failure of a City Master Plan to Control Urbanization in Abuja, Nigeria

Ibrahim A. Gumel, Paul Aplin, Christopher G. Marston, Jeremy Morley
2020 Remote Sensing  
Here, we use multi-temporal remote sensing to investigate four decades of urbanization in Abuja, showing the extent to which urban development has matched original intentions.  ...  Seven Landsat images from 1975 to 2014 were selected to correspond with Master Plan milestones and turning points in Nigeria's socio-political development.  ...  Abubakar, Deputy Director of the FCDA's Department of Urban and Regional Planning, and Opara of the FCDA's Forestry Department contributed significant insights on urban development and forest loss respectively  ... 
doi:10.3390/rs12071112 fatcat:ubq4t544hremxed7472xsyayce

Challenges and opportunities in harnessing satellite remote-sensing for biodiversity monitoring

Paola Mairota, Barbara Cafarelli, Raphael K. Didham, Francesco P. Lovergine, Richard M. Lucas, Harini Nagendra, Duccio Rocchini, Cristina Tarantino
2015 Ecological Informatics  
in mapping, expert knowledge integration, scale selection, analysis of the interrelationships between habitat quality and landscape structure) challenge the effective and reliable use of such data and  ...  and/or communities, persistence) across a range of spatial resolutions and temporal frequencies is increasingly sought-after in conservation management.  ...  We applied the first-author emphasis and the equal contribution approach for the sequence of co-authors (Tscharntke et al., 2007) .  ... 
doi:10.1016/j.ecoinf.2015.08.006 fatcat:kixvd2wwzzda5kfzuxr735huxu

Deep Learning and Earth Observation to Support the Sustainable Development Goals [article]

Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls
2021 arXiv   pre-print
Important societal, economic and environmental implications are concerned.  ...  This paper reviews current deep learning approaches for Earth observation data, along with their application towards monitoring and achieving the SDGs most impacted by the rapid development of deep learning  ...  The CNN model, pre-trained on ImageNet, is fine-tuned to predict nighttime light intensities (used as a proxy for economic activities) corresponding to input daytime satellite imagery.  ... 
arXiv:2112.11367v1 fatcat:7eve5dr45vcublfqyzzrccuvxa
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