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Mugiraneza, T., Ban, Y. & Haas, J. (2019). Urban land cover dynamics and their impact on ecosystem services in Kigali, Rwanda using multi-temporal Landsat data. Remote Sensing Applications: Society and Environment, 13, 234-246
Open this publication in new window or tab >>Urban land cover dynamics and their impact on ecosystem services in Kigali, Rwanda using multi-temporal Landsat data
2019 (English)In: Remote Sensing Applications: Society and Environment, ISSN 2352-9385, Vol. 13, p. 234-246Article in journal (Refereed) Published
Abstract [en]

Land cover change monitoring in rapidly urbanizing environments based on spaceborne remotely sensed data and measurable indicators is essential for quantifying and evaluating the spatial patterns of urban landscape change dynamics and for sustainable urban ecosystems management. The objectives of the study are to analyse the spatio-temporal evolution of urbanization patterns of Kigali, Rwanda over the last three decades (from 1984 to 2016) using multi-temporal Landsat data and to assess the associated environmental impact using landscape metrics and ecosystem services. Visible and infrared bands of Landsat images were combined with derived Normalized Difference Vegetation Index (NDVI), Gray Level Co-occurrence Matrix (GLCM) variance texture and digital elevation model (DEM) data for pixel-based classification using a support vector machine (SVM) classifier. Seven land cover classes were derived with an overall accuracy exceeding 87% with Kappa coefficients around 0.8. As most prominent changes, cropland was reduced considerably in favour of built-up areas that increased from 2.13 km2 to 100.17 km2 between 1984 and 2016. During those 32 years, landscape fragmentation could be observed, especially for forest and cropland. The landscape configuration indices demonstrate that in general the land cover pattern remained stable for cropland, but that it was highly changed for built-up areas. Ecosystem services considered include regulating, provisioning and support services. Estimated changes in ecosystem services amount to a loss of 69 million US dollars (USD) as a result of cropland degradation in favour of urban areas and in a gain of 52.5 million USD within urban areas. Multi-temporal remote sensing is found as a cost-effective method for analysis and quantification of urbanization and its effects using landscape metrics and ecosystem services. 

Place, publisher, year, edition, pages
Elsevier B.V., 2019
Keywords
Ecosystem Services, Kigali, Land cover change, Landsat, Landscape metrics, Rwanda, Urbanization
National Category
Earth and Related Environmental Sciences
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-70570 (URN)10.1016/j.rsase.2018.11.001 (DOI)
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2019-02-26Bibliographically approved
Haas, J. & Ban, Y. (2018). Urban Land Cover and Ecosystem Service Changes based on Sentinel-2A MSI and Landsat TM Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 485-497
Open this publication in new window or tab >>Urban Land Cover and Ecosystem Service Changes based on Sentinel-2A MSI and Landsat TM Data
2018 (English)In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, E-ISSN 2151-1535, Vol. 11, no 2, p. 485-497Article in journal (Refereed) Published
Abstract [en]

Sustainable development in metropolitan regions is challenging in the light of continuous urbanization. Remote sensing provides timely and reliable information on urban areas and their changing patterns. This study's objectives are to evaluate the contribution of Sentinel-2A (S-2A) data to urban ecosystem service mapping and to investigate spatial ecosystem service characteristics with landscape metrics through a novelmethod. Service pattern changes between 2005 and 2015 are mapped for Beijing, China. Landscape metrics are used to qualitatively evaluate urban ecosystem service provision bundle changes. S-2A and Landsat TM data are segmented and classified with SVM, distinguishing three artificial and four natural classes based on ecosystem function. Spatial characteristics influencing ecosystem services are quantified with seven landscape metrics. Beijing's urban development is characterized by reduction in agricultural areas in the urban fringe in favor of built-up areas, urban green space, and golf courses. A transformation of old suburban agglomerations into urban green space can be observed. The planar increase in urban areas is accompanied by the creation of managed urban green space. Service bundles based on land cover classes and spatial characteristics decreased more than 30% for bundles that represent food supply, noise reduction, waste treatment, and global climate regulation. Temperature regulation/moderation of climate extremes, recreation/place values/social cohesion, and aesthetic benefits/cognitive development are least affected. This new approach of extending the ecosystem service concept through integration of spatial characteristics of ecosystem service provisional patches through landscape metrics is believed to give a more realistic appraisal of ecosystem services in urban areas.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Ecosystem services, KTH-SEG, landscape metrics, Sentinel-2 MSI, urban land cover
National Category
Remote Sensing
Identifiers
urn:nbn:se:kau:diva-75060 (URN)10.1109/JSTARS.2017.2786468 (DOI)000425661700013 ()2-s2.0-85041227027 (Scopus ID)
Available from: 2019-10-04 Created: 2019-10-04 Last updated: 2019-10-04Bibliographically approved
Liebiedieva, S., Haas, J. & Andersson, J.-O. (2017). Geospatial support. In: Amir Khorram-Manesh (Ed.), Handbook of Disaster and Emergency Management: (pp. 92-96). Göteborg: Amir Khorram-Manesh
Open this publication in new window or tab >>Geospatial support
2017 (English)In: Handbook of Disaster and Emergency Management / [ed] Amir Khorram-Manesh, Göteborg: Amir Khorram-Manesh , 2017, p. 92-96Chapter in book (Refereed)
Place, publisher, year, edition, pages
Göteborg: Amir Khorram-Manesh, 2017
National Category
Other Medical Sciences not elsewhere specified
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-69793 (URN)978-91-639-3200-7 (ISBN)
Available from: 2018-10-22 Created: 2018-10-22 Last updated: 2019-11-05Bibliographically approved
Haas, J. & Ban, Y. (2017). Sentinel-1A SAR and sentinel-2A MSI data fusion for urban ecosystem service mapping. Remote Sensing Applications: Society and Environment, 8, 41-53
Open this publication in new window or tab >>Sentinel-1A SAR and sentinel-2A MSI data fusion for urban ecosystem service mapping
2017 (English)In: Remote Sensing Applications: Society and Environment, ISSN 2352-9385, Vol. 8, p. 41-53Article in journal (Refereed) Published
Abstract [en]

The two main objectives of this study are to evaluate the potential use and synergetic effects of ESA Sentinel-1A C-band SAR and Sentinel-2A MSI data for classification and mapping of ecologically important urban and peri-urban space and to introduce spatial characteristics into ecosystem service analyses based on remotely sensed data. Image resolutions between 5 m and 20 m provided by the Sentinel satellites introduce a new relevant spatial scale in-between high and medium resolution data at which not only urban areas but also their important hinterlands can be effectively and efficiently mapped. Sentinel-1/2 data fusion facilitates both the capture of ecologically relevant details while at the same time also enabling large-scale urban analyses that draw surrounding regions into consideration. The combined use of Sentinel-1A SAR in Interferometric Wide Swath mode and simulated Sentinel-2A MSI (APEX) data is being evaluated in a classification of the Zürich metropolitan area, Switzerland. The SAR image was terrain-corrected, speckle-filtered and co-registered to the simulated Sentinel-2 image. After radiometric and spatial resampling, the fused image stack was segmented and classified by SVM. After post-classification, landscape elements were investigated in terms of spatial characteristics and topological relations that are believed to influence ecosystem service supply and demand, i.e. area, contiguity, perimeter-toarearatio and distance. Based on the classification results, ecosystem service supplies and demands accounting for spatial and topological patch characteristics were attributed to 14 land cover classes. The quantification of supply and demand values resulted in a positive ecosystem service budget for Zürich. The spatially adjusted service budgets and the original budgets are similar from a landscape perspective but deviate up to 50% on thepatch level. The introduction of spatial and topological patch characteristics gives a more accurate impression of ecosystem service supply and demands and their distributions, thus enabling more detailed analyses in complexurban surroundings. The method and underlying data are considered suitable for urban land cover and ecosystem service mapping and the introduction of spatial aspects into relative ecosystem service valuation concepts is believed to add another important aspect in currently existing approaches.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Data fusion, Ecosystem services, Land Use Land Cover (LULC), Sentinel-1/2, Urban, Image segmentation
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-69791 (URN)10.1016/j.rsase.2017.07.006 (DOI)
Available from: 2018-10-22 Created: 2018-10-22 Last updated: 2018-10-23Bibliographically approved
Haas, J. (2017). Spatio-temporal Analysis of Urban Ecosystem Services with Sentinel 2-A MSI data. KTH Royal Institute of Technology
Open this publication in new window or tab >>Spatio-temporal Analysis of Urban Ecosystem Services with Sentinel 2-A MSI data
2017 (English)Other (Other academic)
Place, publisher, year, pages
KTH Royal Institute of Technology, 2017
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-75147 (URN)
Available from: 2019-10-08 Created: 2019-10-08 Last updated: 2019-10-28Bibliographically approved
Mugiraneza, T., Haas, J. & Ban, Y. (2017). Spatiotemporal analysis of urban land cover changes in Kigali, Rwanda using multitemporal landsat data and landscape metrics. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W2, 2017: . Paper presented at 37th International Symposium on Remote Sensing of Environment, 8–12 May 2017, Tshwane, South Africa (pp. 137-144). COPERNICUS GESELLSCHAFT MBH
Open this publication in new window or tab >>Spatiotemporal analysis of urban land cover changes in Kigali, Rwanda using multitemporal landsat data and landscape metrics
2017 (English)In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W2, 2017, COPERNICUS GESELLSCHAFT MBH , 2017, p. 137-144Conference paper, Published paper (Refereed)
Abstract [en]

Mapping urbanization and ensuing environmental impacts using satellite data combined with landscape metrics has become a hot research topic. The objectives of the study are to analyze the spatio-temporal evolution of urbanization patterns of Kigali, Rwanda over the last three decades (from 1984 to 2015) using multitemporal Landsat data and to assess the associated environmental impact using landscape metrics. Landsat images, Normalized Difference Vegetation Index (NDVI), Grey Level Co-occurrence Matrix (GLCM) variance texture and digital elevation model (DEM) data were classified using a support vector machine (SVM). Eight landscape indices were derived from classified images for urbanization environment impact assessment. Seven land cover classes were derived with an overall accuracy exceeding 88% with Kappa Coefficients around 0.8. As most prominent changes, cropland was reduced considerably in favour of built-up areas that increased from 2,349 ha to 11,579 ha between 1984 and 2015. During those 31 years, the increased number of patches in most land cover classes illustrated landscape fragmentation, especially for forest. The landscape configuration indices demonstrate that in general the land cover pattern remained stable for cropland but it was highly changed in built-up areas. Satellite-based analysis and quantification of urbanization and its effects using landscape metrics are found to be interesting for grassroots and provide a cost-effective method for urban information production. This information can be used for e.g. potential design and implementation of early warning systems that cater for urbanization effects.

Place, publisher, year, edition, pages
COPERNICUS GESELLSCHAFT MBH, 2017
Series
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750, E-ISSN 2194-9034
Keywords
Landsat imagery, Urbanization, Land cover change, Landscape metrics, Kigali, Rwanda
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-69799 (URN)10.5194/isprs-archives-XLII-3-W2-137-2017 (DOI)000466925400021 ()
Conference
37th International Symposium on Remote Sensing of Environment, 8–12 May 2017, Tshwane, South Africa
Available from: 2018-10-22 Created: 2018-10-22 Last updated: 2019-11-13Bibliographically approved
Haas, J. & Ban, Y. (2016). Mapping and Monitoring Urban Ecosystem Services Using Multitemporal High-Resolution Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 669-680
Open this publication in new window or tab >>Mapping and Monitoring Urban Ecosystem Services Using Multitemporal High-Resolution Satellite Data
2016 (English)In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, E-ISSN 2151-1535, Vol. 10, no 2, p. 669-680Article in journal (Refereed) Published
Abstract [en]

This study aims at providing a new method to efficiently analyse detailed urban ecological conditions at the example of Shanghai, one of the world’s most densely populated megacities. The main objective is to develop a method to effectively analyse high-resolution optical satellite data for mapping of ecologically important urban space and to evaluate ecological changes through the emerging ecosystem service supply and demand budget concept. Two IKONOS and GeoEye-1 scenes were used to determine land use/land cover change in Shanghai's urban core from 2000 to 2009. After pre-processing, the images were segmented and classified into seven distinct urban land use/land cover classes through SVM. The classes were then transformed into ecosystem service supply and demand budgets based on ecosystem functions. Decreases of continuous urban fabric and industrial areas in the favour of urban green sites and high-rise areas with commercial/residential function could be observed resulting in an increase of at least 20% in service supply budgets. Main contributors to the change are mainly the decrease of continuous urban fabric and industrial areas. The overall results and outcome of the study strengthen the suggested application of the proposed method for urban ecosystem service budget mapping with hitherto for that purpose unutilized high-resolution data. The insights and results from this study might further contribute to sustainable urban planning, prove common grounds for inter-urban comparisons or aid in enhancing ecological intra-urban functionality by analysing the distribution of urban eco-space and lead to improved accessibility and proximity to ecosystem services in urban areas

Place, publisher, year, edition, pages
IEEE, 2016
Keywords
Ecosystem services, High-resolution satellite data, IKONOS, GeoEye, Urban land use/land cover, Segmentation, SVM
National Category
Remote Sensing
Research subject
Geodesy and Geoinformatics
Identifiers
urn:nbn:se:kau:diva-75053 (URN)10.1109/JSTARS.2016.2586582 (DOI)000395466700025 ()2-s2.0-84981748074 (Scopus ID)
Available from: 2019-10-04 Created: 2019-10-04 Last updated: 2019-10-04Bibliographically approved
Haas, J. (2016). Remote Sensing of Urbanization and Environmental Impacts. (Doctoral dissertation). Stockholm: KTH Royal Institute of Technology
Open this publication in new window or tab >>Remote Sensing of Urbanization and Environmental Impacts
2016 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

This thesis aims to establish analytical frameworks to map urban growth patterns with spaceborne remote sensing data and to evaluate environmental impacts through Landscape Metrics and Ecosystem Services. Urbanization patterns at regional scale were evaluated in China's largest urban agglomerations and at metropolitan scale in Shanghai, Stockholm and Beijing using medium resolution optical satellite data. High-resolution data was used to investigate changes in Shanghai’s urban core. The images were co-registered and mosaicked. Tasseled Cap transformations and texture features were used to increase class separabilities prior to pixel-based Random Forest and SVM classifications. Urban land cover in Shanghai and Beijing were derived through object-based SVM classification in KTH-SEG. After post-classification refinements, urbanization indices, Ecosystem Services and Landscape Metrics were used to quantify and characterize environmental impact. Urban growth was observed in all studies. China's urban agglomerations showed most prominent urbanization trends. Stockholm’s urban extent increased only little with minor environmental implications. On a regional/metropolitan scale, urban expansion progressed predominately at the expense of agriculture. Investigating urbanization patterns at higher detail revealed trends that counteracted negative urbanization effects in Shanghai's core and Beijing's urban-rural fringe. Beijing's growth resulted in Ecosystem Services losses through landscape structural changes, i.e. service area decreases, edge contamination or fragmentation. Methodological frameworks to characterize urbanization trends at different scales based on remotely sensed data were developed. For detailed urban analyses high-resolution data are recommended whereas medium-resolution data at metropolitan/regional scales is suggested. The Ecosystem Service concept was extended with Landscape Metrics to create a more differentiated picture of urbanization effects.​

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. p. 121
Series
TRITA-SOM, ISSN 1653-6126 ; 2016:01
Keywords
Remote Sensing, Urbanization, Land Use/Land Cover (LULC), Environmental Impact, Landscape Metrics, Ecosystem Services
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-75109 (URN)978-91-7595-852-1 (ISBN)
Opponent
Supervisors
Available from: 2019-10-18 Created: 2019-10-07 Last updated: 2019-10-18Bibliographically approved
Haas, J. & Ban, Y. (2015). Contribution of fused Sentinel-1A SAR and Sentinel-2A MSI Data to the City Biodiversity Index (CBI).
Open this publication in new window or tab >>Contribution of fused Sentinel-1A SAR and Sentinel-2A MSI Data to the City Biodiversity Index (CBI)
2015 (English)Other (Other academic)
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
urn:nbn:se:kau:diva-75148 (URN)
Available from: 2019-10-08 Created: 2019-10-08 Last updated: 2019-10-28Bibliographically approved
Mörtberg, U., Deal, B., Cvetkovic, V., Balfors, B., Azcarate, J., Haas, J. & Pang, X. (2015). Integrating ecosystem services in urban energy trajectories. In: Hans Schnitzer, Olga Kordas, Sergio Ulgiati (Ed.), Biwaes 2015 9Th Biennial International Workshop Advances In Energy Studies: Energy and urban systems. Paper presented at Biennial International Workshop Advances in Energy Studies (BIWAES) 4-7 May 2015 in Stockholm, Sweden (pp. 89). Verlag der Technischen Universität Graz
Open this publication in new window or tab >>Integrating ecosystem services in urban energy trajectories
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2015 (English)In: Biwaes 2015 9Th Biennial International Workshop Advances In Energy Studies: Energy and urban systems / [ed] Hans Schnitzer, Olga Kordas, Sergio Ulgiati, Verlag der Technischen Universität Graz , 2015, p. 89-Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Changes in urban development trajectories towards renewable energy sources and compact, energy- efficient urban agglomerations will have major impacts on ecosystem services, which cities are dependent on but tend to overlook. Such ecosystem services can be provisioning, regulating and cultural ecosystem services, around which competition over land and water resources will increase with energy system shifts. Much of the land and water use conflicts can be foreseen to take place within urbanising regions, which simultaneously is the living environment of a major part of the human population today. In order to inform critical policy decisions, integrated assessment of urban energy system options and ecosystem services is necessary. For this purpose, the model integration platform Land Evolution and impact Assessment Model (LEAM) is built and empowered with models representing urban form, energy supply and use, transportation, and ecological processes and services, all related to the land and water use evolution. These types of analyses of interacting sub- systems require an advanced model integration platform, yet open for learning and for further development, with high visualisation capacity. Case studies are performed for the cities of Stockholm, Chicago and Shanghai, where urbanisation scenarios are under development. In the case study LEAMStockholm, scenarios for urban compaction and urban sprawl with different energy and water system solutions are being developed, in order to explore the sustainability of urban policy options. This will enable integrated policy assessment of complex urban systems, with the goal to increase their sustainability.

Place, publisher, year, edition, pages
Verlag der Technischen Universität Graz, 2015
Keywords
Environmental Sciences, Miljövetenskap
National Category
Environmental Management
Research subject
Environmental and Energy Systems
Identifiers
urn:nbn:se:kau:diva-75012 (URN)10.3217/978-3-85125-393-1 (DOI)978-3-85125-393-1 (ISBN)978-3-85125-395-5 (ISBN)
Conference
Biennial International Workshop Advances in Energy Studies (BIWAES) 4-7 May 2015 in Stockholm, Sweden
Available from: 2019-10-02 Created: 2019-10-02 Last updated: 2019-10-22Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6140-2922

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