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A robust Multi-Band Water Index (MBWI) for automated extraction of surface water from Landsat 8 OLI imagery

Surface water is vital resources for terrestrial life, while the rapid development of urbanization results in diverse changes in sizes, amounts, and quality of surface water. To accurately extract surface water from remote sensing imagery is very important for water environment conservations and water resource management. In this study, a new Multi-Band Water Index (MBWI) for Landsat 8 Operational

High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data

Dockless bike-sharing systems (DLBS) have gained much popularity due to their environmentally friendly features. This study puts forward a distinctive framework for assessing the environmental influences of DLBS in high resolution based on DLBS transaction data. The proposed framework firstly estimates the transport mode substituted by DLBS for each recorded bike-sharing trip by utilizing the rout

Contrasting phenology responses to climate warming across the northern extra-tropics

Climate warming has substantially advanced the timing of spring leaf-out of woody species at middle and high latitudes, albeit with large differences. Insights in the spatial variation of this climate warming response may therefore help to constrain future trends in leaf-out and its impact on energy, water and carbon balances at global scales. In this study, we used in situ phenology observations

Impacts of dams on lowland agriculture in the Mekong River catchment

På den Indokinesiska halvön ligger Mekongflodens avrinningsområde. De senaste årtiondena har Kina, som innehar den nordligaste delen av flodbassängen, startat ett omfattande vattenkraftsprojekt på flodens huvudfåra. Åtta mycket stora dammar är planerade varav tre redan är byggda. Länderna som ligger nedströms från Kina, nämligen Laos, Kambodja och Vietnam har på senare tid också beslutat att bygga

A new implementation of FLEXPART with Enviro-HIRLAM meteorological input, and a case study during a heavy air pollution event

We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System

Isolation, Behavioral Identification, and Pathogenicity Assessment of Entomopathogenic Fungi from a Forest Wood Borer

Forest wood borers (FWB) cause severe tree damage and economic losses worldwide. The release of entomopathogenic fungi (EPF) during the FWB emergence period is considered an acceptable alternative to chemical control. However, EPF resources have been significantly less explored for FWBs, in contrast to agricultural insect pests. This paper presents a protocol for exploring EPF resources from FWBs

SRPNet : stroke risk prediction based on two-level feature selection and deep fusion network

Background: Stroke is one of the major chronic non-communicable diseases (NCDs) with high morbidity, disability and mortality. The key to preventing stroke lies in controlling risk factors. However, screening risk factors and quantifying stroke risk levels remain challenging. Methods: A novel prediction model for stroke risk based on two-level feature selection and deep fusion network (SRPNet) is

Urban Ecosystem Vulnerability Assessment of Support Climate-Resilient City Development

Climate change poses a threat to cities. Geospatial information and communication technology (Geo-ICT) assisted planning is increasingly being utilised to foster urban sustainability and adaptability to climate change. To fill the theoretical and practical gaps of urban adaptive planning and Geo-ICT implementation, this article presents an urban ecosystem vulnerability assessment approach using in

Accurate quantification of soil organic matter content using VNIR-SWIR spectra : The role of straw and spectrally active materials

Soil organic matter (SOM) is crucial for carbon sequestration and sustainable agriculture, yet traditional quantification methods are challenging to apply at large scales. Hyperspectral technology combined with machine-learning offers promising prospects for rapid quantification. This study explores the impact of using VNIR-SWIR spectra on SOM quantification in regions characterized by distinctive

Mapping soil cadmium content using multi-spectral satellite images and multiple-residual-stacking model : Incorporating information from homologous pollution and spectrally active materials

Soil cadmium (Cd) contamination significantly threatens ecosystems and human health. Traditional geochemical investigation, although accurate, is impractical for wide-area and frequent monitoring applications. Multi-spectral satellite images combined with the homologous pollution information (HPI) and the spectral and content information of soil organic matter (SOMSCI) is an unconventional and pro

Wetland types and soil properties shape microbial communities in permafrost-degraded swamps

Global warming has accelerated permafrost degradation, destabilizing soil organic carbon (SOC) in wetlands. Soil microorganisms play a crucial role in SOC decomposition. Despite increasing studies on soil microorganisms and their associated impacts on SOC decomposition in wetlands, few studies have simultaneously investigated the impacts of soil physical properties and nutrient stoichiometry on so

ABC Research in Progress Seminars (ABC-RIPS)

The Entrepreneurial Production of SpaceYeast, Creativity & Food: The Craft of Fermenting AttentionCraft as Slow mode of OrganisingThe Art of Making Craft WorkOrganising Color The Entrepreneurial Production of SpaceSeminar date: 20th of November 2024Author(s): Adam Frost and Shuang Frost Abstract – The Entrepreneurial Production of Space Lured to cities for employment and relief from rural deprivat

https://www.lusem.lu.se/organisation/research-centres/centre-aesthetics-and-business-creativity-abc/abc-research-progress-seminars-abc-rips - 2025-10-02

Minchao Wu

Researcher Contact details Email: minchao [dot] wu [at] nateko [dot] lu [dot] se Phone: +46 46 222 16 87Organisation Dept of Physical Geography and Ecosystem Science Visiting address: Sölvegatan 12, Lund Room number: 444b Service point: 16 WebpageMinchao Wus profile in Lund University research portalPersonal website:https://www.minchaowu.comOther affiliations Researcher MERGE: ModElling the Region

https://www.nateko.lu.se/minchao-wu - 2025-10-02