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Karlson, M., Bolin, D., Bazié, H. R., Ouedraogo, A. S., Soro, B., Sanou, J., . . . Ostwald, M. (2023). Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics. Journal of Arid Environments, 218, Article ID 105051.
Open this publication in new window or tab >>Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics
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2023 (English)In: Journal of Arid Environments, ISSN 0140-1963, E-ISSN 1095-922X, Vol. 218, article id 105051Article in journal (Refereed) Published
Abstract [en]

Trees in agroforestry parklands influence crops both through competitive and facilitative mechanism, but the effects are challenging to disentangle due to the complexity of the system with high variability in tree cover structure and species diversity and crop combinations. Focusing on a landscape in central Burkina Faso domi- nated by Vitellaria paradoxa and Parkia biglobosa, this paper examines how tree cover influences crop yield at landscape scale using satellite data and spatial statistics. Our analysis is based on data from 2017 to 2018 with differences in rainfall to assess the stability in identified relationships. Our findings showed that tree canopy cover and tree density inside the fields tended to decrease crop yield because of competition, but also that these variables when considering the surrounding landscape exerted an opposite effect because of their buffering ef- fects. The explanatory variables representing soil properties did have limited effects on crop yield in this study. These patterns were consistent during the two years of monitoring. Overall, our results suggest that farmers in this area might manage the tree cover in a way that optimizes sustainable yields as canopy cover and tree density in most parklands is below the limits identified here where competition outweight the facilitative effects. 

Place, publisher, year, edition, pages
Elsevier, 2023
National Category
Other Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-197328 (URN)10.1016/j.jaridenv.2023.105051 (DOI)001063540600001 ()
Funder
Swedish National Space Board
Note

Funding: Swedish National Space Agency [Dnr 112/16]

Available from: 2023-08-31 Created: 2023-08-31 Last updated: 2023-10-03
Karlson, M. (2023). Multi-source Mapping of Peatland Types using Sentinel-1, Sentinel-2 and Terrain Derivatives – A Comparison Between Five High-latitude Landscapes. Linköping University Electronic Press
Open this publication in new window or tab >>Multi-source Mapping of Peatland Types using Sentinel-1, Sentinel-2 and Terrain Derivatives – A Comparison Between Five High-latitude Landscapes
2023 (English)Data set, Aggregated data
Place, publisher, year
Linköping University Electronic Press, 2023
National Category
Physical Geography Remote Sensing
Identifiers
urn:nbn:se:liu:diva-192863 (URN)10.48360/7B7B-BA71 (DOI)
Funder
Swedish Research Council Formas, 2018-00570
Available from: 2023-04-03 Created: 2023-04-03 Last updated: 2023-09-15Bibliographically approved
Karlson, M. & Bastviken, D. (2023). Multi‐Source Mapping of Peatland Types Using Sentinel‐1, Sentinel‐2, and Terrain Derivatives—A Comparison Between Five High‐Latitude Landscapes. Journal of Geophysical Research - Biogeosciences, 128(4), Article ID e2022JG007195.
Open this publication in new window or tab >>Multi‐Source Mapping of Peatland Types Using Sentinel‐1, Sentinel‐2, and Terrain Derivatives—A Comparison Between Five High‐Latitude Landscapes
2023 (English)In: Journal of Geophysical Research - Biogeosciences, ISSN 2169-8953, E-ISSN 2169-8961, Vol. 128, no 4, article id e2022JG007195Article in journal (Refereed) Published
Abstract [en]

Mapping wetland types in northern-latitude regions with Earth Observation (EO) data is important for several practical and scientific applications, but at the same time challenging due to the variability and dynamic nature in wetland features introduced by differences in geophysical conditions. The objective of this study was to better understand the ability of Sentinel-1 radar data, Sentinel-2 optical data and terrain derivatives derived from Copernicus digital elevation model to distinguish three main peatland types, two upland classes, and surface water, in five contrasting landscapes located in the northern parts of Alaska, Canada and Scandinavia. The study also investigated the potential benefits for classification accuracy of using regional classification models constructed from region-specific training data compared to a global classification model based on pooled reference data from all five sites. Overall, the results show high promise for classifying peatland types and the three other land cover classes using the fusion approach that combined all three EO data sources (Sentinel-1, Sentinel-2 and terrain derivatives). Overall accuracy for the individual sites ranged between 79.7% and 90.3%. Class specific accuracies for the peatland types were also high overall but differed between the five sites as well as between the three classes bog, fen and swamp. A key finding is that regional classification models consistently outperformed the global classification model by producing significantly higher classification accuracies for all five sites. This suggests for progress in identifying effective approaches for continental scale peatland mapping to improve scaling of for example, hydrological- and greenhouse gas-related processes in Earth system models.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023
Keywords
peatland types; land cover classification; data fusion; arctic; northern latitude regions; terrain derivatives
National Category
Geosciences, Multidisciplinary Remote Sensing Physical Geography
Identifiers
urn:nbn:se:liu:diva-193214 (URN)10.1029/2022jg007195 (DOI)000972246100001 ()
Note

Funding: Swedish Research Council Formas [2017-01944, 2018-01794, 2018-00570]; European Space Agency

Available from: 2023-04-21 Created: 2023-04-21 Last updated: 2023-09-15
Glaas, E., Bohman, A., Karlson, M., Navarra, C., Olsson, J., Hundecha, Y., . . . Linnér, B.-O. (2022). Development and user testing of the ICT-platform Visual Water supporting sustainable municipal stormwater planning. Urban Water Journal, 19(9), 962-974
Open this publication in new window or tab >>Development and user testing of the ICT-platform Visual Water supporting sustainable municipal stormwater planning
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2022 (English)In: Urban Water Journal, ISSN 1573-062X, E-ISSN 1744-9006, Vol. 19, no 9, p. 962-974Article in journal (Refereed) Published
Abstract [en]

The need to develop sustainable stormwater management is intensifying due to climate impacts and urban densification. Such complex planning processes require insights into disparate issues, connecting heterogeneous actors. While many decision-support tools are developed to facilitate such planning, research assessing their usefulness is requested. This study introduces and assesses one such ICT-tool; the Visual Water platform, aiming to support sustainable stormwater planning in Swedish municipalities. The study aims to identify critical points to consider for developers of related decision-support tools and to detangle requirements and tradeoffs in making them relevant and user-friendly, building on test-sessions with Swedish practitioners. Results show that the platform responds to challenges within municipal planning as outlined by Swedish practitioners. However, though the platform content is considered relevant, its application in real-world planning is perceived as somewhat unclear. The paper discusses ideas for how sustainability-related decision-support tools better can respond to user demands.

Place, publisher, year, edition, pages
Taylor & Francis Ltd, 2022
Keywords
Decision-support; ICT; planning; stormwater; sustainability
National Category
Other Environmental Engineering
Identifiers
urn:nbn:se:liu:diva-187721 (URN)10.1080/1573062X.2022.2108850 (DOI)000836959800001 ()
Note

Funding Agencies|Swedish Research Council Formas [2016-20090]; Svenskt Vatten [16-117]

Available from: 2022-08-30 Created: 2022-08-30 Last updated: 2023-04-18Bibliographically approved
Bastviken, D., Wilk, J., Nguyen, T. D., Gålfalk, M., Karlson, M., Schmid Neset, T.-S., . . . Sundgren, I. (2022). Measuring greenhouse gas fluxes: what methods do we have versus what methods do we need?. In: : . Paper presented at EGU22, the 24th EGU General Assembly, held 23-27 May, 2022 in Vienna, Austria and Online..
Open this publication in new window or tab >>Measuring greenhouse gas fluxes: what methods do we have versus what methods do we need?
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2022 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Appropriate methods to measure greenhouse gas (GHG) fluxes are critical for our ability to detect fluxes, understand regulation, make adequate priorities for climate change mitigation efforts, and verify that these efforts are effective. Ideally, we need reliable, accessible, and affordable measurements at relevant scales. We surveyed present GHG flux measurement methods, identified from an analysis of >11000 scientific publications and a questionnaire to sector professionals and analysed method pros and cons versus needs for novel methodology. While existing methods are well-suited for addressing certain questions, this presentation presents fundamental limitations relative to GHG flux measurement needs for verifiable and transparent action to mitigate many types of emissions. Cost and non-academic accessibility are key aspects, along with fundamental measurement performance. These method limitations contribute to the difficulties in verifying GHG mitigation efforts for transparency and accountability under the Paris agreement. Resolving this mismatch between method capacity and societal needs is urgently needed for effective climate mitigation. This type of methodological mismatch is common but seems to get high priority in other knowledge domains. The obvious need to prioritize development of accurate diagnosis methods for effective treatments in healthcare is one example. This presentation provides guidance regarding the need to prioritize the development of novel GHG flux measurement methods.

National Category
Other Natural Sciences
Identifiers
urn:nbn:se:liu:diva-189635 (URN)10.5194/egusphere-egu22-6468 (DOI)
Conference
EGU22, the 24th EGU General Assembly, held 23-27 May, 2022 in Vienna, Austria and Online.
Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2023-03-07Bibliographically approved
Karlson, M. (2022). Multi-source mapping of peatland types using Sentinel-1, Sentinel-2 and terrain derivatives – A comparison between five high-latitude landscapes: Remote sensing predictor variables and field reference data. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Multi-source mapping of peatland types using Sentinel-1, Sentinel-2 and terrain derivatives – A comparison between five high-latitude landscapes: Remote sensing predictor variables and field reference data
2022 (English)Data set, Primary data
Abstract [en]

Dataset used in the publication "Multi-source mapping of peatland types using Sentinel-1, Sentinel-2 and terrain derivatives – A comparison between five high-latitude landscapes". The dataset includes preprocessed predictor variables in image format (geoTIFF) from Sentinel-1, Sentinel-2 and Copernicus DEM for the five sites, including North Slope (Alaska), Yukon (Canada), Great Slave Lake (Canada), Hudson Bay Lowlands (Canada) and northern Sweden (Scandinavia). It also includes reference data (shape files) used for training and validation of classification models.

Place, publisher, year
Linköping: Linköping University Electronic Press, 2022
National Category
Physical Geography Remote Sensing
Identifiers
urn:nbn:se:liu:diva-184942 (URN)10.48360/zgqx-7524 (DOI)
Funder
Swedish Research Council Formas, 2018-00570
Available from: 2022-05-16 Created: 2022-05-16 Last updated: 2022-06-13Bibliographically approved
Bohman, A., Glaas, E., Karlson, M., Navarra, C., Olsson, J., Hundecha, Y., . . . Linnér, B.-O. (2021). Visual Water: En visualiseringsplattform för dagvatten- och skyfallsplanering i ett klimat under förändring. Bromma: Svenskt Vatten AB
Open this publication in new window or tab >>Visual Water: En visualiseringsplattform för dagvatten- och skyfallsplanering i ett klimat under förändring
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2021 (Swedish)Report (Other academic)
Alternative title[en]
Visual Water : visualization platform for sustainable stormwatermanagement
Abstract [sv]

Visual Water (http//visualwater.se) är en interaktiv webbaserad visualiseringsplattform som syftar till att stötta svenska kommuner i arbetet för en hållbar dagvatten- och skyfallshantering. Plattformen är utformad för att svara mot centrala utmaningar som lyfts av svenska dagvattenaktörer som befinner sig i skiftet bort från de rörbundna nätverksidealen för avledning av dagvatten och strävar efter en högre grad av grön-blå och öppna lösningar i stadsmiljön.

Abstract [en]

Visual Water (http//visualwater.se) is an interactive web-based platform for geographic and information visualization aiming to support Swedish municipalities working towards sustainable stormwater management. The content and functionalities of the platform are designed to respond to central challenges as they are defined by actors in the Swedish stormwater sector who find themselves in the shift away from underground pipe-bound solutions towards blue-green measures in the urban environment.

Place, publisher, year, edition, pages
Bromma: Svenskt Vatten AB, 2021. p. 20
Series
Svenskt Vatten Utveckling ; 2021-4
Keywords
Dagvatten; skyfall; samhällsplanering
National Category
Climate Research
Identifiers
urn:nbn:se:liu:diva-175886 (URN)
Funder
Svensk Vatten Utveckling (SVU), 16-117Swedish Research Council Formas
Available from: 2021-05-25 Created: 2021-05-25 Last updated: 2021-05-26Bibliographically approved
Hossain, M., Karlson, M. & Schmid Neset, T.-S. (2019). Application of GIS for Cyclone Vulnerability Analysis of Bangladesh. Earth Science Malaysia, 3(1), 25-34
Open this publication in new window or tab >>Application of GIS for Cyclone Vulnerability Analysis of Bangladesh
2019 (English)In: Earth Science Malaysia, ISSN 2521-5035, Vol. 3, no 1, p. 25-34Article in journal (Refereed) Published
Abstract [en]

Cyclones are one of the most common and foremost natural hazards in the world that causes extensive causalities. Bangladesh is highly vulnerable to cyclone hazard for its geographical location and socio-economic conditions. This study has aimed to analyze the historical cyclonic hazards and creating vulnerability maps and risk maps for Bangladesh. The apposite variables were selected by reviewing pertinent literatures and necessary data were retrieved for 1900 to 2015. GIS tool has been used for visualization of weighed scores for hazard, vulnerability and risk based on historical cyclones’ intensities, magnitudes, causalities and existing coping capacities. Moreover, hotspot analysis that implies Getis-Ord Gi* spatial statistics was also used in this study to identify the patterns of spatial significance and relationship of areas among their neighbors. This analysis produced Z scores from weighed variables those were proportional to the degree of vulnerability and risk. The low negative to high positive Z scores are correlative of low to high cyclone vulnerability and risk. Consequently, the weighed scores have elicited the coastal areas are in front line in terms of vulnerability and risk to cyclone. Besides, Gi* revealed that some areas are significantly risk prone for being spatially influenced by their neighbors.

Place, publisher, year, edition, pages
Zibeline International Publishing, 2019
Keywords
Bangladesh; cyclone; risk; mapping; hotspot analysis; spatial analysis; natural hazards; coping capacity
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-189659 (URN)10.26480/esmy.01.2019.25.34 (DOI)
Available from: 2022-11-01 Created: 2022-11-01 Last updated: 2022-12-09Bibliographically approved
Karlson, M., Ostwald, M., Reese, H., Romeo Bazie, H. & Tankoano, B. (2016). Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species. International Journal of Applied Earth Observation and Geoinformation, 50, 80-88
Open this publication in new window or tab >>Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species
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2016 (English)In: International Journal of Applied Earth Observation and Geoinformation, ISSN 1569-8432, E-ISSN 1872-826X, Vol. 50, p. 80-88Article in journal (Refereed) Published
Abstract [en]

High resolution satellite systems enable efficient and detailed mapping of tree cover, with high potential to support both natural resource monitoring and ecological research. This study investigates the capability of multi-seasonal WorldView-2 imagery to map five dominant tree species at the individual tree crown level in a parkland landscape in central Burkina Faso. The Random Forest algorithm is used for object based tree species classification and for assessing the relative importance of WorldView-2 predictors. The classification accuracies from using wet season, dry season and multi-seasonal datasets are compared to gain insights about the optimal timing for image acquisition. The multi-seasonal dataset produced the most accurate classifications, with an overall accuracy (OA) of 83.4%. For classifications based on single date imagery, the dry season (OA=78.4%) proved to be more suitable than the wet season (OA=68.1%). The predictors that contributed most to the classification success were based on the red edge band and visible wavelengths, in particular green and yellow. It was therefore conchided that WorldView-2, with its unique band configuration, represents a suitable data source for tree species mapping in West African parklands. These results are particularly promising when considering the recently launched WorldView-3, which provides data both at higher spatial and spectral resolution, including shortwave infrared bands. (C) 2016 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Tree species mapping; WorldView-2; Agroforestry; Parkland; Sudano-Sahel
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-128916 (URN)10.1016/j.jag.2016.03.004 (DOI)000375819200008 ()
Note

Funding Agencies|Swedish Research Council; Swedish International Development Cooperation Agency (Sida); Swedish Energy Agency.

The previous status of this article was Manuscript and the working title was Assessing the potential of multi-temporal WorldView-2 imagery for mapping West African agroforestry tree species.

Available from: 2016-06-09 Created: 2016-06-07 Last updated: 2022-11-16Bibliographically approved
Karlson, M. & Ostwald, M. (2016). Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014. Journal of Arid Environments, 124, 257-269
Open this publication in new window or tab >>Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014
2016 (English)In: Journal of Arid Environments, ISSN 0140-1963, E-ISSN 1095-922X, Vol. 124, p. 257-269Article, review/survey (Refereed) Published
Abstract [en]

Scarcity of in situ vegetation data inhibits research and natural resource management in the Sudano- Sahelian zone (SSZ). Satellite and aerial remote sensing (RS) constitute key technologies for improving the availability of vegetation data, and consequently the preconditions for scientific analysis and monitoring. The aim of this paper was to investigate how the hands-on application of RS for vegetation analysis has developed in the SSZ by reviewing the scientific literature published between 1975 and 2014. The paper assesses the usages and the users of RS by focusing on four aspects of the material (268 peer-reviewed articles), including publication details (time of publication, scientific discipline of journals and author nationality), geographic information (location of study areas and spatial scale of research), data usage (application of RS systems and procedures for accuracy assessments), and research topic (scientific objective of the research). Three key results were obtained: i) the application of RS to analyze vegetation in the SSZ has increased consistently since 1977 and it seems to become adopted by a growing number of scientific disciplines; ii) the contribution of African authors is low, potentially signalling a need for an increased transfer of knowledge and technology from developed countries; iii) RS has pri- marily been used to analyze changes in vegetation productivity and broad vegetation types, whereas its use for studying interactions between vegetation and environmental factors has been relatively low. This calls for stronger collaborative RS research that enables the mapping of additional vegetation variables of high relevance for the environmental problems facing the SSZ. Remotely sensed vegetation data are needed at spatial scales that suits the requirements of both research and natural resource management in order to further enhance the usefulness of this technology. 

Place, publisher, year, edition, pages
London, UK: Academic Press, 2016
Keywords
Remote sensing, Vegetation, Drylands, Sudano-Sahel, Monitoring, Natural resource management
National Category
Other Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-121292 (URN)10.1016/j.jaridenv.2015.08.022 (DOI)000364245200030 ()
Funder
Swedish Research Council, 348-2013-6547Sida - Swedish International Development Cooperation Agency, SWE-2009-176Swedish Energy Agency, 35586-1
Note

Funding agencies: Swedish International Development Cooperation Agency (Sida) [SWE-2009-176]; Swedish Energy Agency [35586-1]; Swedish Research Council (VR/Sida) [348-2013-6547]

Available from: 2015-09-13 Created: 2015-09-13 Last updated: 2018-07-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-3926-3671

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