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International Journal of Digital Earth 2023年第1期16卷 1707-1724页

作者： Dávid Abriha Szilárd Szabó department of physical geography and geoinformatics Faculty of Science and TechnologyUniversity of DebrecenDebrecenHungary

Building extraction from remote sensing data is an important topic in urban studies and the deep learning methods have an increasing role due to their minimal requirements in training data to reach outstanding *** aimed to investigate the original U-Net architecture’s efficiency in building segmentation with different number of training images and the role of data augmentation based on multisource remote sensing data with varying spatial and spectral resolutions(WorldView-2[WV2],WorldView-3[WV3]images and an aerial orthophoto[ORTHO]).When the trainings and predictions were conducted on the same image,U-Net provided good results with very few training images(validation accuracies:94-97%;192 images).Combining the ORTHO’s and WV2’s training data for prediction on WV3 provided poor results with low F1-score(0.184).However,the inclusion of only 48 WV3 training images significantly improved the F1-score(0.693),thus,most buildings were correctly ***,using only independent reference data(other than the target image)is not enough to train an accurate *** our case,the reference from WW2 and ORTHO images did not provide an acceptable basis to train a good model,but a minimal number of training images from the targeted WV3 improved the accuracy(F1-score:69%).

关键词： Building segmentation U-Net remote sensing urban analysis

Climate Change Impacts on Environmental Hazards on the Great Hungarian Plain, Carpathian Basin

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International Journal of Disaster Risk Science 2014年第2期5卷 136-146页

作者： Gábor Mezosi Teodóra Bata Burghard C.Meyer Viktória Blanka Zsuzsanna Ladányi department of physical geography and geoinformatics University of SzegedEgyetem u.2-6Szeged 6722Hungary

The potential impacts of climate change on the Great Hungarian Plain based on two regional climate models,REMO and ALADIN,were analyzed using indicators for environmental *** the climate parameters(temperature,precipitation,and wind)will change in the two investigated periods(2021–2050 and 2071–2100),their influences on drought,wind erosion,and inland excess water hazards are modeled by simple predictive *** hazards on arable lands will increasingly affect the productivity of agriculture compared to the reference period(1961–1990).The models predict an increase between 12.3%(REMO)and 20%(ALADIN)in the first period,and between 35.6%(REMO)and 45.2%(ALADIN)in the second *** increase of wind erosion hazards is not as obvious(+15%for the first period in the REMO model).Inland excess water hazards are expected to be slightly reduced(-4 to 0%)by both model predictions in the two periods without showing a clear tendency on *** three indicators together give a first regional picture of potential hazards of climate *** predictive model and data combinations of the regional climate change models and the hazard assessment models provide insights into regional and subregional impacts of climate change and will be useful in planning and land management activities.

关键词： Great inland drought

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Spatiotemporal variability/stability analysis of NO_(2),CO,and land surface temperature(LST)during COVID-19 lockdown in Amman city,Jordan

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Geo-Spatial Information Science 2023年第3期26卷 540-557页

作者： Ali Almagbile Khaled Hazaymeh department of geography Applied Geoinformatics LaboratoryYarmouk UniversityIrbidJordan

The massive lockdown of human socioeconomic activities and vehicle movements due to the COVID-19 pandemic in 2020 has resulted in an unprecedented reduction in pollutant gases such as Nitrogen Dioxide(NO_(2))and Carbon Monoxide(CO)as well as Land Surface Temperature(LST)in Amman as well as all countries around the *** this study,the spatial and temporal variability/stability of NO_(2),CO,and LST throughout the lockdown period over Amman city have been *** NO_(2) and CO column density values were acquired from Sentinel-5p while the LST data were obtained from MODIS satellite during the lockdown period from 20 March to 24 April in 2019,2020,and *** statistical analysis showed an overall reduction in NO_(2) in 2020 by around 27% and 48% compared to 2019 and 2021,***,an increase of 7% in 2021 compared to 2019 was observed because almost all anthropogenic activities were allowed during the *** temporal persistence showed almost constant NO2 values in 2020 over the study area throughout the lockdown *** addition,a slight decrease in CO(around 1%)was recorded in 2020 and 2021 compared to the same period in *** on human activities resulted in an evident drop in LST in 2020 by around 13%and 18% less than the 5-year average and 2021 *** study concludes that due to the restrictions imposed on industrial activities and automobile movements in Amman city,an unprecedented reduction in NO_(2),CO,and LST was recorded.

关键词： Air quality COVID-19 lockdown spatiotemporal analysis NO_(2) CO Land Surface Temperature(LST) Sentinel-5p and MODIS satellites

GIS-based ordered weighted averaging and Dempster-Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

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International Journal of Digital Earth 2014年第8期7卷 688-708页

作者： Bakhtiar Feizizadeh Thomas Blaschke Hossein Nazmfar department of physical geography Centre for Remote Sensing and GISUniversity of TabrizTabrizIran department of geoinformatics(Z_GIS) University of SalzburgSalzburgAustria department of geography and Urban Planning University of Mohaghegh ArdabiliArdabilIran

In this paper,GIS-based ordered weighted averaging(OWA)is applied to landslide susceptibility mapping(LSM)for the Urmia Lake Basin in northwest *** landslide causal factors were used,whereby the respective parameters were extracted from an associated spatial *** factors were evaluated,and then the respective factor weight and class weight were assigned to each of the associated factors using analytic hierarchy process(AHP).A landslide suscept-ibility map was produced based on OWA multicriteria decision *** order to validate the result,the outcome of the OWA method was qualitatively evaluated based on an existing inventory of known ***,an uncertainty analysis was carried out using the Dempster-Shafer *** on the results,very strong support was determined for the high susceptibility category of the landslide susceptibility map,while strong support was received for the areas with moderate *** this paper,we discuss in which respect these results are useful for an improved understanding of the effectiveness of OWA in LSM,and how the landslide prediction map can be used for spatial planning tasks and for the mitigation of future hazards in the study area.

关键词： GIS-multicriteria decision analysis OWA uncertainty analysis belief landslide susceptibility mapping Urmia Lake Basin

Examining El Nio in the Holocene: implications and challenges

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National Science Review 2018年第6期5卷 807-809页

作者： Zhengyao Lu Zhengyu Liu department of physical geography and Ecosystem Science Lund University department of geography Ohio State University

The El Nio–Southern Oscillation(ENSO) is characterized by year-to-year anomalous surface climate variability over the tropical Pacific. Through atmospheric teleconnections, ENSO can bring droughts and floods worldw... 详细信息

关键词： Examining El Ni implications and challenges o in the Holocene El

Selected issues of cartographic communication optimization for emergency centers

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International Journal of Digital Earth 2010年第4期3卷 316-339页

作者： Karel Staněk Lucie Friedmannová Petr Kubıcek Milan Konecný Laboratory on geoinformatics and Cartography Department of GeographyFaculty of ScienceMasaryk UniversityBrnoCzech Republic

Cartographic communication and support within emergency management(EM)are complicated issues with changing demands according to the incident extent and phase of the EM *** in mind the specifics of each purpose,it is obvious that spatial data used for maps preparation and production must be differently visualized even for the same type of emergency incident(traffic accident,fire,and natural disaster).Context-based cartography is a promising methodology to deal with the changing demands of an operational EM *** overview of cartographic communication is presented within the context of an operational EM center,activities of particular actors,and map use supporting the incident *** authors of the paper respond to a series of questions,for example:what is the current cartographic support of operational EM in the Czech Republic in Digital Earth conditions?What possibilities are there to improve the cartographic communication?How can contextual cartographic services be implemented in a Web environment and how can the usability of results be tested?The paper gives several examples of the usage of cartographic technologies in map creation for various emergency situations.

关键词： map use cartographic communication context-based cartography Digital Earth operational emergency management

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model

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International Journal of Digital Earth 2019年第9期12卷 1067-1082页

作者： Péter Enyedi Melinda Pap Zoltán Kovács László Takács-Szilágyi Szilárd Szabó a department of physical geography and geoinformatics University of DebrecenDebrecenHungary Internet of Things Research Institute Eszterházy Károly University of Applied SciencesEgerHungary

The aim of this paper was to study reliable automated delineationpossibilities of karst sinkholes using a LiDAR-based digital terrain model(DTM) with pixel-based classifications. We applied two approaches toextract sinkholes: (1) general linear modeling (GLM) with morphometricindices derived from DTM;(2) and a local minima-based delineationusing only LiDAR DTM as the input layer. The outcome of the localminima was significantly different from the reference ones but found allthe sinkholes without previous knowledge of the area. The GLM-basedoutcome did not differ statistically from the reference. Results showedthat these approaches were efficient in detecting sinkholes based onLIDAR derivatives, and can be used for risk assessment and hazardpreparedness in karst areas: GLM had an overall accuracy of 89.5% andlocal minima had an accuracy of 92.3%;both methods identifiedsinkholes but also had commission errors, identifying depressions assinkholes.

关键词： Karst mapping sinkhole identification general linear model statistical evaluation sink fill

Comparison of Layer-stacking and Dempster-Shafer Theory-based Methods Using Sentinel-1 and Sentinel-2 Data Fusion in Urban Land Cover Mapping

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Geo-Spatial Information Science 2022年第3期25卷 425-438页

作者： Dang Hung Bui LászlóMucsi department of geoinformatics Physical and Environmental GeographyUniversity of SzegedSzegedHungary Institute for Environmental Science Engineering and ManagementIndustrial University of Ho Chi Minh CityHo Chi Minh CityVietnam

Data fusion has shown potential to improve the accuracy of land cover mapping,and selection of the optimal fusion technique remains a *** study investigated the performance of fusing Sentinel-1(S-1)and Sentinel-2(S-2)data,using layer-stacking method at the pixel level and Dempster-Shafer(D-S)theory-based approach at the decision level,for mapping six land cover classes in Thu Dau Mot City,*** the pixel level,S-1 and S-2 bands and their extracted textures and indices were stacked into the different single-sensor and multi-sensor datasets(*** datasets).The datasets were categorized into two *** group included the datasets containing only spectral and backscattering bands,and the other group included the datasets consisting of these bands and their extracted *** random forest(RF)classifier was then applied to the datasets within each *** the decision level,the RF classification outputs of the single-sensor datasets within each group were fused together based on D-S ***,the accuracy of the mapping results at both levels within each group was *** results showed that fusion at the decision level provided the best mapping accuracy compared to the results from other products within each *** highest overall accuracy(OA)and Kappa coefficient of the map using D-S theory were 92.67%and 0.91,*** decision-level fusion helped increase the OA of the map by 0.75%to 2.07%compared to that of corresponding S-2 products in the ***,the data fusion at the pixel level delivered the mapping results,which yielded an OA of 4.88%to 6.58%lower than that of corresponding S-2 products in the groups.

关键词： Land cover mapping data fusion random forest Dempster-Shafer theory optical data radar data pixel level decision level

Contribution of biophysical and climate variables to the spatial distribution of wildfires in Iran

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Journal of Forestry Research 2023年第6期34卷 1763-1775页

作者： Kobra Shojaeizadeh Mahmoud Ahmadi Abbasali Dadashi-Roudbari department of physical geography Faculty of Earth SciencesShahid Beheshti UniversityTehranIran department of geography Ferdowsi University of MashhadMashhadIran

This study investigated the relationship between climate and biophysical variables in burned areas in *** fire burned area(FBA)product(Fire CCI 5.1.1),land surface temperature(MOD11C3C),vegetation index(MOD13A1),and climate variables such as temperature,wind speed,relative humidity,and volumetric soil moisture from the ERA5 reanalysis dataset were *** correlation coefficient was used to determine the relationship between biophysical and climate variables and fire *** results show that FBA increased by 1.7 hectares/decade from 2001 to *** high FBA in 2010(the black summer of Iran)was due to high temperatures and significant heatwaves that led to extensive *** anthropogenic activities are considered a significant cause of wildfires,several variables,including increased temperatures,less precipitation,relative humidity,and wind speed and direction,contribute to the extent and occurrence of *** country’s FBA hotspot is in the Arasbaran region during the summer *** and relative humidity are the most significant variables influencing the occurrence of *** results show the vulnerability of Iran s forests and their high potential for *** the frequency of fire occurrences in Iran and the limited equipment,fire prevention plans should be carried out by applying proper management in high-risk regions.

关键词： Wildfire Burned areas Vegetation index(Ⅵ) Air temperature Iran

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The Impact of Topography on Social Factors,a Case Study of Montenegro

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Journal of Mountain Science 2014年第1期11卷 131-141页

作者： TELBISZ Tamás BOTTLIK Zsolt MARI László KOSZEGI Margit department of physical geography Eotvos University department of Regional Science Eotvos University

Relationships between environmental and social factors have long been studied by ***,GIS-aided statistical analysis provides new tools to explore these *** order to detect the impact of topography on social factors,we selected the country of Montenegro as a case example due to its high topographic *** compared the spatial pattern of population,settlements and ethnic minorities to physical geographic factors,especially to topography,but lithology and land cover data were also taken into *** found that certain factors are closely correlated,*** settlement density linearly decreases with elevation,while the characteristic settlement area shows an exponential increase *** population density is not related to absolute elevation,but it is in close correlation with height(*** relative to the local minimum).Population change and illiteracy are also topography-related social *** the contrary,the variable ethnic pattern of Montenegro is influenced by historical,political and economic effects rather than by environmental factors or topographic *** a conclusion we state that in the scale of a country or a region,the environment can strongly impact some social factors.

关键词： Human-environment relations Dinarides GIS Settlements Population Ethnic groups

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