V. Baiocchi, F. Vatore, M. Lombardi, F. Monti, R. Onori
: Recent events, including the floods in central Europe in May 2021, have highlighted how climate change is giving rise to scenarios that were neither foreseen nor predictable. One problem this poses is the need to rethink the logic of various environmental constraints that are often based on return times of 20-50 years or 100-200. A single event does not change the statistical expectations for the recurrence of the event itself, but the recurrence of several extraordinary events in a few years is a clear indication of a changing trend. The prevention of the effects of such events is based on the definition of the areas at greater or lesser risk specifically based on the return times of the exceptional events, so it is foreseeable that a series of territorial plans, mostly carried out a few decades ago, will have to be updated or re-executed from scratch. These reworkings will be able to take advantage of the open-source software and open spatial data that have become available in the meantime, facilitating the entire process, and making it more open and shareable. In this paper we tested on a real case (the May 1999 pyroclastic flows in Campania, southern Italy) the actual possibility of implementing a model for forecasting such events using only open-source software and open data. It has been demonstrated that the entire process can be carried out using only open-source resources and it has been verified that the predictions of the hazard and risk model obtained with only input data prior to the event, give an output prediction that is significantly coincident with the events that actually occurred as documented by the authorities.
{"title":"The Contribution of Open-Source GIS Software and Open Spatial Data for the Re-Evaluation of Landslide Risk and Hazard in View of Climate Change","authors":"V. Baiocchi, F. Vatore, M. Lombardi, F. Monti, R. Onori","doi":"10.21163/gt_2021.163.12","DOIUrl":"https://doi.org/10.21163/gt_2021.163.12","url":null,"abstract":": Recent events, including the floods in central Europe in May 2021, have highlighted how climate change is giving rise to scenarios that were neither foreseen nor predictable. One problem this poses is the need to rethink the logic of various environmental constraints that are often based on return times of 20-50 years or 100-200. A single event does not change the statistical expectations for the recurrence of the event itself, but the recurrence of several extraordinary events in a few years is a clear indication of a changing trend. The prevention of the effects of such events is based on the definition of the areas at greater or lesser risk specifically based on the return times of the exceptional events, so it is foreseeable that a series of territorial plans, mostly carried out a few decades ago, will have to be updated or re-executed from scratch. These reworkings will be able to take advantage of the open-source software and open spatial data that have become available in the meantime, facilitating the entire process, and making it more open and shareable. In this paper we tested on a real case (the May 1999 pyroclastic flows in Campania, southern Italy) the actual possibility of implementing a model for forecasting such events using only open-source software and open data. It has been demonstrated that the entire process can be carried out using only open-source resources and it has been verified that the predictions of the hazard and risk model obtained with only input data prior to the event, give an output prediction that is significantly coincident with the events that actually occurred as documented by the authorities.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49140107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhamad Khairul Rosyidy, M. Dimyati, I. P. A. Shidiq, F. Zulkarnain, Nurul Sri Rahaningtyas, Riza Putera Syamsuddin, Farhan Makarim Zein
Landslide is a natural phenomenon that frequently occurs on the Java Island of Indonesia, causing significant damage and casualties. Due to advances in remote sensing technology, radar imaging can detect and evaluate ground surface deformation. This study examines the ground surface deformation and displacement in each landslide location in terms of spatial and temporal and identifies the different types and characteristics of landslides in the Sukabumi area of West Java, Indonesia. The Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) methodology was used in this study, and the DinSAR method was applied. We combined the LiCSAR data product with the Python coding-based LiCSBAS processing package to derive a surface displacement value at each landslide location. The results show that the DinSAR approach can detect surface deformation by integrating the LiCSAR product with the Python coding-based LiCSBAS processing software. According to quantitative data, the research area experienced surface deformation with a surface displacement velocity of -36,297 mm/year to 58,837 mm/year. The ground surface displacement at each landslide location ranged from -9.79 mm/year to +33.69 mm/year, with most of the landslides occurring on moderate to steep slopes (16-35). These results are suitable to use for support regional development planning in reducing losses and casualties. Key-words: Displacement, Deformation, Landslide, LICSBAS, SBAS-InSAR
{"title":"LANDSLIDE SURFACE DEFORMATION ANALYSIS USING SBAS-INSAR IN THE SOUTHERN PART OF THE SUKABUMI AREA, INDONESIA","authors":"Muhamad Khairul Rosyidy, M. Dimyati, I. P. A. Shidiq, F. Zulkarnain, Nurul Sri Rahaningtyas, Riza Putera Syamsuddin, Farhan Makarim Zein","doi":"10.21163/gt_2021.163.11","DOIUrl":"https://doi.org/10.21163/gt_2021.163.11","url":null,"abstract":"Landslide is a natural phenomenon that frequently occurs on the Java Island of Indonesia, causing significant damage and casualties. Due to advances in remote sensing technology, radar imaging can detect and evaluate ground surface deformation. This study examines the ground surface deformation and displacement in each landslide location in terms of spatial and temporal and identifies the different types and characteristics of landslides in the Sukabumi area of West Java, Indonesia. The Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) methodology was used in this study, and the DinSAR method was applied. We combined the LiCSAR data product with the Python coding-based LiCSBAS processing package to derive a surface displacement value at each landslide location. The results show that the DinSAR approach can detect surface deformation by integrating the LiCSAR product with the Python coding-based LiCSBAS processing software. According to quantitative data, the research area experienced surface deformation with a surface displacement velocity of -36,297 mm/year to 58,837 mm/year. The ground surface displacement at each landslide location ranged from -9.79 mm/year to +33.69 mm/year, with most of the landslides occurring on moderate to steep slopes (16-35). These results are suitable to use for support regional development planning in reducing losses and casualties. Key-words: Displacement, Deformation, Landslide, LICSBAS, SBAS-InSAR","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47162682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. A. Haris, S. S. Kusuma, S. Arjasakusuma, P. Wicaksono
: The identification of land cover and land use is necessary to support the strategic management of coastal areas. The utilization of remote sensing technology such as synthetic aperture radar (SAR) data has been widely used for mapping the distribution of land cover and land use. This application includes the detection of aquaculture ponds in coastal areas due to SAR’s sensitivity to surface water content. In addition, multitemporal Sentinel-1 data helps to distinguish between ponds and rice fields that possess a visually similar appearance during the flooding stage. This study aims to explore the accuracy of the gray level of co-occurrence model (GCLM) textures of multitemporal Sentinel-1 data for aquaculture pond mapping in Brebes Regency, Central Java Province, Indonesia. In addition, single-date Sentinel-2 optical imagery was used to compare the results from Sentinel-1 data. The Sentinel-2 data has been identified using supervised classifications, e.g., maximum likelihood (ML), minimum distance (MD), random forest (RF), and K-nearest neighbor (KNN) algorithms, and the most accurate algorithm was selected to classify the Sentinel-1 data using GLCM textures. The results indicated that the Sentinel-1 imagery showed the best results using GLCM metrics from VH polarization with an accuracy value of 92.2% using the ML algorithm, while the best results from Sentinel-2 were also produced using ML, with an 88.4% overall accuracy. These results demonstrate that multitemporal Sentinel-1 data have higher accuracy than Sentinel-2 data when used for pond detection. This shows the potential of the combination of both sensors to increase the accuracy of aquaculture pond mapping.
{"title":"COMPARISON OF SENTINEL-2 AND MULTITEMPORAL SENTINEL-1 SAR IMAGERY FOR MAPPING AQUACULTURE POND DISTRIBUTION IN THE COASTAL REGION OF BREBES REGENCY, CENTRAL JAVA, INDONESIA","authors":"N. A. Haris, S. S. Kusuma, S. Arjasakusuma, P. Wicaksono","doi":"10.21163/gt_2021.163.10","DOIUrl":"https://doi.org/10.21163/gt_2021.163.10","url":null,"abstract":": The identification of land cover and land use is necessary to support the strategic management of coastal areas. The utilization of remote sensing technology such as synthetic aperture radar (SAR) data has been widely used for mapping the distribution of land cover and land use. This application includes the detection of aquaculture ponds in coastal areas due to SAR’s sensitivity to surface water content. In addition, multitemporal Sentinel-1 data helps to distinguish between ponds and rice fields that possess a visually similar appearance during the flooding stage. This study aims to explore the accuracy of the gray level of co-occurrence model (GCLM) textures of multitemporal Sentinel-1 data for aquaculture pond mapping in Brebes Regency, Central Java Province, Indonesia. In addition, single-date Sentinel-2 optical imagery was used to compare the results from Sentinel-1 data. The Sentinel-2 data has been identified using supervised classifications, e.g., maximum likelihood (ML), minimum distance (MD), random forest (RF), and K-nearest neighbor (KNN) algorithms, and the most accurate algorithm was selected to classify the Sentinel-1 data using GLCM textures. The results indicated that the Sentinel-1 imagery showed the best results using GLCM metrics from VH polarization with an accuracy value of 92.2% using the ML algorithm, while the best results from Sentinel-2 were also produced using ML, with an 88.4% overall accuracy. These results demonstrate that multitemporal Sentinel-1 data have higher accuracy than Sentinel-2 data when used for pond detection. This shows the potential of the combination of both sensors to increase the accuracy of aquaculture pond mapping.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49498191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed Aghad, Mohamed Manaouch, M. Sadiki, Mohcine Batchi, J. A. Karkouri
: The rising need for water coupled with an increasing scarcity in many parts across the world especially in the middle east and north african countries (MENA) requires more sustainable solutions for effective water conservation. In Morocco, water ressource is characterized by significant spatio-temporal variability. So, to ensure the availability of water for domestic and agro-industrial uses, it is advised to develop some alternatives that improve the local water resources management throughout the country. Rainwater harvesting (RWH) has been proven to be a very promising alternative to water shortage problem. However, identifying appropriate sites for RWH remains a complex task in the management of rainwater. The present study aims to identify optimal sites for RWH using GIS based Fuzzy Analytical Hierarchy Process (FAHP) method in the Kenitra province, NW Morocco. For preparing thematic layers, several data sources were used including remote sensing data (RS), digital elevation model (DEM), the soil and precipitation data were used to create the necessary database using ArcGIS software. Next, the model of the soil conservation service-curve number (SCS-CN) was adopted to generate the map of the annual potential runoff. Then, five thematic layers including runoff, slope, soil texture, land use/land cover (LULC) and drainage density were assigned apropriate weights for generating the RWH suitability map. The resultant map of runoff depth revealed that it ranges from 137 to 738 mm. Moreover, the RWH suitability map showed that Kenitra province can be classed into five RWH candidate areas: (i) unsuitable (12.7%), (ii) less suitable (10.9%), (iii) suitable (20.3%), (iv) very suitable (36%) and (v) extremely suitable (19.9%). The extremely suitable areas for RWH are distributed in the central and northeastern parts. Based on the area under curve (AUC) of the receiver operating caracteristics (ROC), the success rate for predicting suitable RWH sites was 51%.
{"title":"IDENTIFYING SUITABLE SITES FOR RAINWATER HARVESTING USING RUNOFF MODEL (SCS-CN), REMOTE SENSING AND GIS BASED FUZZY ANALYTICAL HIERARCHY PROCESS (FAHP) IN KENITRA PROVINCE, NW MOROCCO","authors":"Mohamed Aghad, Mohamed Manaouch, M. Sadiki, Mohcine Batchi, J. A. Karkouri","doi":"10.21163/gt_2021.163.09","DOIUrl":"https://doi.org/10.21163/gt_2021.163.09","url":null,"abstract":": The rising need for water coupled with an increasing scarcity in many parts across the world especially in the middle east and north african countries (MENA) requires more sustainable solutions for effective water conservation. In Morocco, water ressource is characterized by significant spatio-temporal variability. So, to ensure the availability of water for domestic and agro-industrial uses, it is advised to develop some alternatives that improve the local water resources management throughout the country. Rainwater harvesting (RWH) has been proven to be a very promising alternative to water shortage problem. However, identifying appropriate sites for RWH remains a complex task in the management of rainwater. The present study aims to identify optimal sites for RWH using GIS based Fuzzy Analytical Hierarchy Process (FAHP) method in the Kenitra province, NW Morocco. For preparing thematic layers, several data sources were used including remote sensing data (RS), digital elevation model (DEM), the soil and precipitation data were used to create the necessary database using ArcGIS software. Next, the model of the soil conservation service-curve number (SCS-CN) was adopted to generate the map of the annual potential runoff. Then, five thematic layers including runoff, slope, soil texture, land use/land cover (LULC) and drainage density were assigned apropriate weights for generating the RWH suitability map. The resultant map of runoff depth revealed that it ranges from 137 to 738 mm. Moreover, the RWH suitability map showed that Kenitra province can be classed into five RWH candidate areas: (i) unsuitable (12.7%), (ii) less suitable (10.9%), (iii) suitable (20.3%), (iv) very suitable (36%) and (v) extremely suitable (19.9%). The extremely suitable areas for RWH are distributed in the central and northeastern parts. Based on the area under curve (AUC) of the receiver operating caracteristics (ROC), the success rate for predicting suitable RWH sites was 51%.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43856435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jaroslav Škrabal, Petra Chmielová, Kamila Turečková, J. Nevima
: In the current period marked by the need to address a number of economic and social challenges in the context of the sustainable development of towns and municipalities, the issue of the regeneration and reuse of brownfields is a topic that can help find an effective solution on the local, national and international level. The aim of this article is to assess the use of tools in the process of the regeneration of brownfields on the territory of municipalities with extended competence in the Czech Republic. The information contained in this paper was compiled on the basis of a primary survey. It was found that the highest number of abandoned buildings and premises are located in regions which were focused on industrial and mining activities in the past. Furthermore, the authors found that brownfield sites have been regenerated and reused successfully in the territory of the Czech Republic. Based on the relevant survey, the most frequently used financial tools employed by municipalities with extended competence (MEC) for the regeneration of brownfield sites in the last 10 years included municipality budgets, European subsidy programmes and national subsidy programmes. According to the survey, nonfinancial tools used for the successful regeneration of brownfields included own activities and support from the CzechInvest agency. The motives of municipalities and towns located in the territory of individual MECs in the relevant country included mainly a new use of buildings (the rescue of historical buildings/premises and unused industrial parts of a village/town) in the territory of the MEC. The results of the article also highlights the regional differences of the studied area in the case of the existence and use of various financial and non-financial instruments in the process of brownfield regeneration in individual MECs in the Czech Republic.
{"title":"APPLICABILITY OF TOOLS FOR BROWNFIELD REGENERATION IN THE CZECH REPUBLIC: A REGIONAL PERSPECTIVE","authors":"Jaroslav Škrabal, Petra Chmielová, Kamila Turečková, J. Nevima","doi":"10.21163/gt_2021.162.11","DOIUrl":"https://doi.org/10.21163/gt_2021.162.11","url":null,"abstract":": In the current period marked by the need to address a number of economic and social challenges in the context of the sustainable development of towns and municipalities, the issue of the regeneration and reuse of brownfields is a topic that can help find an effective solution on the local, national and international level. The aim of this article is to assess the use of tools in the process of the regeneration of brownfields on the territory of municipalities with extended competence in the Czech Republic. The information contained in this paper was compiled on the basis of a primary survey. It was found that the highest number of abandoned buildings and premises are located in regions which were focused on industrial and mining activities in the past. Furthermore, the authors found that brownfield sites have been regenerated and reused successfully in the territory of the Czech Republic. Based on the relevant survey, the most frequently used financial tools employed by municipalities with extended competence (MEC) for the regeneration of brownfield sites in the last 10 years included municipality budgets, European subsidy programmes and national subsidy programmes. According to the survey, nonfinancial tools used for the successful regeneration of brownfields included own activities and support from the CzechInvest agency. The motives of municipalities and towns located in the territory of individual MECs in the relevant country included mainly a new use of buildings (the rescue of historical buildings/premises and unused industrial parts of a village/town) in the territory of the MEC. The results of the article also highlights the regional differences of the studied area in the case of the existence and use of various financial and non-financial instruments in the process of brownfield regeneration in individual MECs in the Czech Republic.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45489844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The number of river floods has increased worldwide, as well as in Nakorn Ratchasima Province in Thailand. To prevent disasters, the R oyal I rrigation D epartment (RID) constructed thirteen regulating structures to control discharges. Currently, the local controllers spatially control these structures to minimize the subsystem's damage, regardless of the effects on the overall system performance. In this study, the concept of combining real-time flood management tools and the cascade M odel P redictive C ontrol (MPC) as well as application of GIS has been proposed and verified with the 2013 flood event. The distributed control of the existing hydraulic structures on the large scale of the Lamtakong River made optimal use of the retention basin storage capacity with the considerations of both local performance and global system interactions. The model proposes an optimal gate opening of each cascade at the specified time, from the beginning until the end of flood hydrographs. The results of the controlled water level indicate the efficiency of the CMPC, which is more satisfied satisfactory than the PID and practice technique of RID, as evidenced by the water level of 0.5 m that is lower than the level of the riverbank at Nakhon Ratchasima City. A comparison of flood areas between the historical flood in year 2013 and Management by CASCADE MPC shows by GIS flood map that in the case of Management by CASCADE MPC, it can reduce the flood area in Nakhorn Ratchasima city by almost 60%.
{"title":"GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD MANAGEMENT \u0000BY CASCADE MODEL PREDICTIVE CONTROL (MPC)","authors":"K. Klahan, S. Chittaladakorn, Sitang Pilailar","doi":"10.21163/gt_2021.162.10","DOIUrl":"https://doi.org/10.21163/gt_2021.162.10","url":null,"abstract":": The number of river floods has increased worldwide, as well as in Nakorn Ratchasima Province in Thailand. To prevent disasters, the R oyal I rrigation D epartment (RID) constructed thirteen regulating structures to control discharges. Currently, the local controllers spatially control these structures to minimize the subsystem's damage, regardless of the effects on the overall system performance. In this study, the concept of combining real-time flood management tools and the cascade M odel P redictive C ontrol (MPC) as well as application of GIS has been proposed and verified with the 2013 flood event. The distributed control of the existing hydraulic structures on the large scale of the Lamtakong River made optimal use of the retention basin storage capacity with the considerations of both local performance and global system interactions. The model proposes an optimal gate opening of each cascade at the specified time, from the beginning until the end of flood hydrographs. The results of the controlled water level indicate the efficiency of the CMPC, which is more satisfied satisfactory than the PID and practice technique of RID, as evidenced by the water level of 0.5 m that is lower than the level of the riverbank at Nakhon Ratchasima City. A comparison of flood areas between the historical flood in year 2013 and Management by CASCADE MPC shows by GIS flood map that in the case of Management by CASCADE MPC, it can reduce the flood area in Nakhorn Ratchasima city by almost 60%.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45269905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Wildfire events are majeure natural risks occurring in multiple ecosystems worldwide, and lead to significant damages on their human, ecological and socioeconomic components. This research interested on evaluating and mapping the recent and exceptional wildfires occurred in the Aures Mounts System near Ain Mimoun in July 5, 2021. Multidates Sentinel 2 images, the differenced Normalized Burn Ratio dNBR and its Relativized dNBR (RdNBR) have been used for extract and evaluate the recently burned areas. Results reveal that he July 5 wildfires lead to the loss of 6,607 ha (9 %) of Aleppo pine forest cover and municipalities of Tamza and Chelia were more damaged, with respectively 4,143 and 2,166 ha of burned superficies. In addition to the high-vulnerability to fire risk occurrence, essentially due to topographic and morphological features, the study area exhibited also favoring climatic features before and during the fire event occurrence, high daily temperatures and high variable wind directions were prominent factors in accelerating the fire spreading and increasing the fire extent. This study concludes that Sentinel 2, dNBR and especially RdNBR are effective geo-informatic data and indices for assessing, classifying and mapping burn severity extent due to wildfire events. To attenuate damages, it is necessary to adopt risk mitigation plans based on efficient measures to be applied before, during and after the fire events occurrence.
{"title":"SENTINEL 2 IMAGERY AND BURN RATIOS FOR ASSESSING THE JULY 5, 2021 WILDFIRES SEVERITY IN THE REGION OF KHENCHELA (NORTHEAST ALGERIA)","authors":"N. Boulghobra","doi":"10.21163/gt_2021.162.08","DOIUrl":"https://doi.org/10.21163/gt_2021.162.08","url":null,"abstract":": Wildfire events are majeure natural risks occurring in multiple ecosystems worldwide, and lead to significant damages on their human, ecological and socioeconomic components. This research interested on evaluating and mapping the recent and exceptional wildfires occurred in the Aures Mounts System near Ain Mimoun in July 5, 2021. Multidates Sentinel 2 images, the differenced Normalized Burn Ratio dNBR and its Relativized dNBR (RdNBR) have been used for extract and evaluate the recently burned areas. Results reveal that he July 5 wildfires lead to the loss of 6,607 ha (9 %) of Aleppo pine forest cover and municipalities of Tamza and Chelia were more damaged, with respectively 4,143 and 2,166 ha of burned superficies. In addition to the high-vulnerability to fire risk occurrence, essentially due to topographic and morphological features, the study area exhibited also favoring climatic features before and during the fire event occurrence, high daily temperatures and high variable wind directions were prominent factors in accelerating the fire spreading and increasing the fire extent. This study concludes that Sentinel 2, dNBR and especially RdNBR are effective geo-informatic data and indices for assessing, classifying and mapping burn severity extent due to wildfire events. To attenuate damages, it is necessary to adopt risk mitigation plans based on efficient measures to be applied before, during and after the fire events occurrence.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46266327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Lai Chau is a typical mountainous province of Vietnam, with a natural area of 9068.78 km 2 , this is a province that frequently occurs flash floods. This paper presents the results of the application of Satellite images, combining the GIS - AHP - MCA integration method to create a zoning map and warn of flash floods in Lai Chau province. The results of this study indicate the analyses and appraisals over 6 primary factors that incite flash flood, including the characteristics of geomorphology, the properties of soils, the types of forests and fractional vegetation cover, the slope of local drainage basins, average annual rainfall and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 33.55% (3042.5 km 2 ) of the area had an extremely high risk of flash flood occurrences, 44.42% of the area had a medium risk and 22.03% had a risk of flash flood at the low or very low level. Zoning map and flash flood warnings have great significance in preventing flash floods and minimizing damage in the study area.
{"title":"FLASH FLOOD HAZARD MAPPING USING SATELLITE IMAGES AND \u0000GIS INTEGRATION METHOD: A CASE STUDY OF LAI CHAU PROVINCE, VIETNAM","authors":"Q. Kieu","doi":"10.21163/gt_2021.162.09","DOIUrl":"https://doi.org/10.21163/gt_2021.162.09","url":null,"abstract":": Lai Chau is a typical mountainous province of Vietnam, with a natural area of 9068.78 km 2 , this is a province that frequently occurs flash floods. This paper presents the results of the application of Satellite images, combining the GIS - AHP - MCA integration method to create a zoning map and warn of flash floods in Lai Chau province. The results of this study indicate the analyses and appraisals over 6 primary factors that incite flash flood, including the characteristics of geomorphology, the properties of soils, the types of forests and fractional vegetation cover, the slope of local drainage basins, average annual rainfall and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 33.55% (3042.5 km 2 ) of the area had an extremely high risk of flash flood occurrences, 44.42% of the area had a medium risk and 22.03% had a risk of flash flood at the low or very low level. Zoning map and flash flood warnings have great significance in preventing flash floods and minimizing damage in the study area.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49251567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flood represents a temporary cover of water that submerges land, usually not covered by water, which is caused by water overflowing the watercourses. The floods that occur in the area of Zenica-Doboj Canton in Bosnia and Herzegovina cause massive damage to agriculture, housing, equipment and civil engineering facilities and can be characterized as hazards. The hydrographic backbone of this Canton is the river Bosna, and the subject of research in this paper is the flood vulnerability in Zenica-Doboj Canton. The result of the work is the production of flood hazard and risk maps using GIS. Geographic Information System (GIS)-based spatial analysis and visual elements have been used frequently in recent years for detection of flood hazard areas and preparation of maps. GIS applications are based on a database and analysis tools which have logical and mathematical relationships between the layers. When creating the flood hazard map, in addition to GIS tools, Hec-RAS was also used as a program intended for the analysis of hydraulic calculations. The results of this paper are of great importance for spatial planning and environmental protection, starting with local communities, municipalities and the entire Canton. Key-words: Spatial analysis, the Bosnia River, Flood risk, GIS, Physical geography
{"title":"APPLICATION OF GIS IN THE ASSESSMENT OF FLOOD RISK IN THE REGION ZENICA - DOBOJ CANTON","authors":"A. Korjenić, Edin Hrelja, Amina Sivac, Amra Banda","doi":"10.21163/gt_2021.162.07","DOIUrl":"https://doi.org/10.21163/gt_2021.162.07","url":null,"abstract":"Flood represents a temporary cover of water that submerges land, usually not covered by water, which is caused by water overflowing the watercourses. The floods that occur in the area of Zenica-Doboj Canton in Bosnia and Herzegovina cause massive damage to agriculture, housing, equipment and civil engineering facilities and can be characterized as hazards. The hydrographic backbone of this Canton is the river Bosna, and the subject of research in this paper is the flood vulnerability in Zenica-Doboj Canton. The result of the work is the production of flood hazard and risk maps using GIS. Geographic Information System (GIS)-based spatial analysis and visual elements have been used frequently in recent years for detection of flood hazard areas and preparation of maps. GIS applications are based on a database and analysis tools which have logical and mathematical relationships between the layers. When creating the flood hazard map, in addition to GIS tools, Hec-RAS was also used as a program intended for the analysis of hydraulic calculations. The results of this paper are of great importance for spatial planning and environmental protection, starting with local communities, municipalities and the entire Canton. Key-words: Spatial analysis, the Bosnia River, Flood risk, GIS, Physical geography","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45471879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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