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Thematische Bibliographien / Flooded area / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Flooded area“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Ivanisevic, Marko, Stevan Savic, Dragoslav Pavic, Slobodan Gnjato, and Tatjana Popov. "Spatio-temporal patterns of flooded areas in the lower part of the Sana river basin (Bosnia and Herzegovina)." Glasnik Srpskog geografskog drustva 102, no. 2 (2022): 67–82. http://dx.doi.org/10.2298/gsgd2202067i.

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Floods are the most frequent and devastating natural hazard event in Bosnia and Herzegovina. The detected increase in extreme precipitation over the study area in the last period has altered flood event patterns due to climate changes. Higher frequency of flood events and lack of flood protection infrastructure has a severe impact on socio-economic sectors and natural ecosystems. This paper focuses on the identification of flooded areas for each single flooding event in the lower part of the Sana river basin during the period 2016-2020. For delineating flooded areas, both radar and optical sat

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Jamali, A., and A. Abdul Rahman. "FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 291–95. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-291-2019.

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Abstract. Disasters including flash floods, earthquakes, and landslides have huge economic and social losses besides their impact on environmental disruption. Studying environmental changes due to climate change can improve public and expert sector’s awareness and response towards future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are valuable tools for flood modeling and surface deformation modeling. This paper proposes an efficient approach to detect the flooded area changes using Sentinel-1A over Ramsar flood on 5t

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Hutanu, Elena, Andrei Urzica, and Andrei Enea. "Evaluation of Damages Caused by Floods, Based on Satellite Images. Case Study: Jijia River, Slobozia-Dângeni Sector, July 2010." Present Environment and Sustainable Development 12, no. 2 (2018): 135–46. http://dx.doi.org/10.2478/pesd-2018-0035.

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Abstract This research aimed to identify flooded areas following the July 2010 floods, using Landsat 7-ETM + satellite imagery and a more efficient way to extract water bodies. By computing several indices, such as MNDWI, NDWI, NDVI, AWI, WRI and NDMI, it was concluded that, in the present case, the NDWI index was most effective, the data obtained having a very good accuracy. The studied area was the Jijia River Slobozia-Dângeni sector, the Landsat 7-ETM + images were taken on July 3, 2010. The flow rate at this time at the Dângeni station was 473 cm, decreasing compared to July 1, 2010 when t

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Gonuguntla, Hemalatha, Khudoyberdi Abdivaitov, Mahalingam Bose, and Muzaffar Rakhmataliev. "A comparison of Sentinel-1 and Sentinel-2 in assessing flooded area and built-up land use: A case study of selected coastal districts in Andra Pradesh, India." InterCarto. InterGIS 26, no. 2 (2020): 421–35. http://dx.doi.org/10.35595/2414-9179-2020-2-26-421-435.

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In tropical climatic conditions, floods occur during heavy rainfall. Floods during this thick cloud cover partially stops the optical imagery to pass through the atmosphere and record the surface reflectance. Another kind of satellite imagery that is available is microwave remote sensing data that can pass through the clouds. However, the exploration of this microwave remote sensing began recently for earth observation applications. So, the algorithms and methods available for exploiting advantages from microwave data is still under research. The current part of the work is to explore the meth

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Das, Indira, and Sujit Deka. "Impact of Flood on the Socio-Economic Conditions in the Southern Part of Kamrup District, Assam." Space and Culture, India 8, no. 4 (2021): 106–19. http://dx.doi.org/10.20896/saci.v8i4.665.

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Flood causes extreme loss of infrastructure and human life; besides it also propagates the condition of poverty and unceasing marginalisation of the affected region from development. This study elucidates how flood contributes to the socio-economic conditions of the rural people living in the Southern part of the Kamrup district of Assam. It focusses on flood hazard zoning and flood vulnerability analyses that are delineated based on the data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) Near Real-Time (NRT) Global Flood Mapping Product Portal. Flood hazard zoning of

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Hidayati, Zakiah. "A JUSTIFIED GRAPH ANALYSIS OF PRAYER SPACE IN FLOODED HOMES." Journal of Islamic Architecture 7, no. 4 (2023): 648–58. http://dx.doi.org/10.18860/jia.v7i4.22423.

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Indonesia's risks of natural disasters force its people to live and adapt. It happens in Samarinda's urban settlements, which flood annually. Indonesia, a religious country, applied religion to most aspects of life. The religious element is persistent even in homes being inundated by floods. Devout Muslims consistently perform the five daily Shalah and sometimes Sunnah prayers in flooded conditions. This paper analyzed the spatial configuration of the Muslim prayer space in the flooded residence from different phases. The study method was based on Justified Graph analysis, and the sample was a

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Pal, Om, Hemraj Hemraj, and Sultan Singh. "Flash-Flood Potential Mapping in Agricultural Land Using Rule-Based Classification Approach on Multi-Temporal Synthetic-Aperture Radar (SAR) Data over Jhajjar and Rohtak Districts of Haryana State." South Asian Research Journal of Engineering and Technology 4, no. 6 (2022): 160–65. http://dx.doi.org/10.36346/sarjet.2022.v04i06.004.

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Flash floods are known to be most dangerous flood. In recent decades there is change in the climate and urban development causing increase in the risk of flash flood for human population. Remote sensing and geographical information system playing a very important and feasible role in assessment of the flash flood over a decade. This paper describes the synergetic use of Synthetic-aperture radar (SAR) data to delineate and mapping of the flooded area at its peak. The methodology was tested on the flash flood event that occurs in Jhajjar and Rohtak districts of Haryana in July, 2022. Four Sentin

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Moya, Luis, Yukio Endo, Genki Okada, Shunichi Koshimura, and Erick Mas. "Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods." Remote Sensing 11, no. 19 (2019): 2320. http://dx.doi.org/10.3390/rs11192320.

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Synthetic aperture radar (SAR) images have been used to map flooded areas with great success. Flooded areas are often identified by detecting changes between a pair of images recorded before and after a certain flood. During the 2018 Western Japan Floods, the change detection method generated significant misclassifications for agricultural targets. To evaluate whether such a situation could be repeated in future events, this paper examines and identifies the causes of the misclassifications. We concluded that the errors occurred because of the following. (i) The use of only a single pair of SA

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Moussa, R., and C. Bocquillon. "Approximation zones of the Saint-Venant equations f flood routing with overbank flow." Hydrology and Earth System Sciences 4, no. 2 (2000): 251–60. http://dx.doi.org/10.5194/hess-4-251-2000.

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Abstract. The classification of river waves as gravity, diffusion or kinematic waves, corresponds to different forms of the momentum equation in the Saint-Venant system. This paper aims to define approximation zones of the Saint-Venant equations for flood routing in natural channels with overbank flow in the flooded area. Using linear perturbation theory, the different terms in the Saint-equations were analysed as a function of the balance between friction and inertia. Then, using non-dimensionalised variables, flood waves were expressed as a function of three parameters: the Froude number of

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Zhang, Keshun, Elizabeth J. Parks-Stamm, Yaqi Ji, and Haiyan Wang. "Beyond Flood Preparedness: Effects of Experience, Trust, and Perceived Risk on Preparation Intentions and Financial Risk-Taking in China." Sustainability 13, no. 24 (2021): 13625. http://dx.doi.org/10.3390/su132413625.

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Flooding, already the most damaging type of natural disaster in China, is expected to become increasingly costly around the world. However, few studies have examined residents’ flood-preparedness intentions and the effect of flood experience and other variables on general financial risk-taking. This study explored the effects of Chinese residents’ previous flood experiences, trust in public flood protection, and flood-risk perception on flood-preparedness intentions and attitudes towards financial risk-taking in general. Study 1 surveyed residents in a flooded area (n = 241) and a non-flooded

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Wakabayashi, H., K. Motohashi, T. Kitagami, et al. "FLOODED AREA EXTRACTION OF RICE PADDY FIELD IN INDONESIA USING SENTINEL-1 SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W7 (March 1, 2019): 73–76. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w7-73-2019.

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<p><strong>Abstract.</strong> The objective of this study is to detect flooded area in rice paddy fields in Indonesia by using remotely sensed data. We used synthetic aperture radar (SAR) data for this purpose, because it is capable of getting high-resolution data in almost all-weather conditions. The paper gives a result of detecting flooded area occurred in our research sites located close to Bandung area, Tegalluar in Bojongsoang district, from the end of February to the beginning of March in 2018. The C-band SAR data acquired by Sentinel-1 were used for this analysis. We

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Petropoulos, George P., Athina Georgiadi, and Kleomenis Kalogeropoulos. "Leveraging Sentinel-2 and Geographical Information Systems in Mapping Flooded Regions around the Sesia River, Piedmont, Italy." GeoHazards 5, no. 2 (2024): 485–503. http://dx.doi.org/10.3390/geohazards5020025.

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Sentinel-2 data are crucial in mapping flooded areas as they provide high spatial and spectral resolution but under cloud-free weather conditions. In the present study, we aimed to devise a method for mapping a flooded area using multispectral Sentinel-2 data from optical sensors and Geographical Information Systems (GISs). As a case study, we selected a site located in Northern Italy that was heavily affected by flooding events on 3 October 2020, when the Sesia River in the Piedmont region was hit by severe weather disturbance, heavy rainfall, and strong winds. The method developed for mappin

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Minnegaliev, Aleksandr, Evgeny Abakumov, Ruslan Suleymanov, et al. "Soil Bacterial and Archaeal Communities of the Periodic Flooding Zone of Three Main Reservoirs in the South Ural Region (Russia)." Ecologies 5, no. 2 (2024): 233–47. http://dx.doi.org/10.3390/ecologies5020015.

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Studying the soils in the periodical flood zone of three reservoirs is of promising importance for their subsequent return to economic activities. Research on the bacterial and archaeal communities of soils that are periodically or continuously flooded by reservoirs is still insufficient. To evaluate the chemical status of soils and their microbiota, the study was conducted in the Yumaguzino, Nugush, and Slak reservoir sites in the South Ural area (Russian Federation). The bacterial and archaeal communities of periodically flooded and non-flooded soils were investigated after a comparative inv

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Tabacaru, Alexandru, Livia Nistor-Lopatenco, Iurie Bejan, and Alexandru Pantaz. "THE USE OF GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD PREDICTIONS." Journal of Engineering Science XXVIII, no. 2 (2021): 112–19. http://dx.doi.org/10.52326/jes.utm.2021.28(2).09.

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The article examines the issue of using geographic information systems (GIS) and WEBGIS technologies to predict areas likely to be flooded. Probabilistic flood hazard maps (0.5%, 0.1% and 1% flood risks) were used, obtained from a model installation in an area subject to flood risk, in this case, the municipality of Ungheni in the Republic Moldova, which has been flooded in the past. The application of GIS technologies is necessary to prevent floods affecting households, infrastructure and to minimize its effects. For this purpose, were analyzed the previous floods that occurred in the region.

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Tabacaru, Alexandru, Livia Nistor-Lopatenco, Iurie Bejan, and Alexandru Pantaz. "THE USE OF GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD PREDICTIONS." Journal of Engineering Science XXVIII (2) (June 16, 2021): 112–19. https://doi.org/10.52326/jes.utm.2021.28(2).09.

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The article examines the issue of using geographic information systems (GIS) and WEBGIS technologies to predict areas likely to be flooded. Probabilistic flood hazard maps (0.5%, 0.1% and 1% flood risks) were used, obtained from a model installation in an area subject to flood risk, in this case, the municipality of Ungheni in the Republic Moldova, which has been flooded in the past. The application of GIS technologies is necessary to prevent floods affecting households, infrastructure and to minimize its effects. For this purpose, were analyzed the previous floods that occurred in the region.

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Suab, Stanley Anak, Hitesh Supe, Ram Avtar, Ramzah Dambul, and Xinyu Chen. "Detection and mapping of May 2021 flood in Beaufort, Sabah using Sentinel-1 SAR and Sentinel-2 multispectral in Google Earth Engine." IOP Conference Series: Earth and Environmental Science 1064, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1755-1315/1064/1/012003.

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Abstract Recurring floods severely impacted the livelihood and socio-economic. It causes disruption of clean water, electricity, communications, properties damages and sometimes loss of life. Information on flooded areas is crucial for effective emergency responses support. In this study we used Sentinel 1 (S-1) C-band and Sentinel 2 (S-2) Multispectral satellite imageries where wider area covered in 12 days repeat satellite pass. The flood event on the 26 May 2021 was identified and we retrieved the S-1 GRD SAR imagery and S-2 level-2A BOA in GEE environment. We analysed the S-1 VV, VH, VV/VH

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Velychko, S. V., and O. V. Dupliak. "Evaluation of the green flood mitigation measures in urban area in the frame of the sustainable city concept." IOP Conference Series: Earth and Environmental Science 1415, no. 1 (2024): 012008. https://doi.org/10.1088/1755-1315/1415/1/012008.

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Abstract The flood protection problem has always existed for the Ukrainian Carpathians. The floods that caused damage to urban areas occurred 10 times during the past 20 years in the basin of the Uzh River, ones were the cold period floods in most cases. The Uzh River passes through the central part of the Uzhhorod city, the river is crossed by five bridges, the embankment consists of “grey” flood protection structures: dams, concrete and stone walls. The central embankment was flooded by extreme floods only. At the same time auxiliary buildings and greenhouse in the Botanic Garden and the Boz

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Megahed, Hanaa A., Amira M. Abdo, Mohamed A. E. AbdelRahman, Antonio Scopa, and Mohammed N. Hegazy. "Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt." Applied Sciences 13, no. 16 (2023): 9445. http://dx.doi.org/10.3390/app13169445.

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The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country’s economy. This paper attempts to identify areas of flood vulnerability using a frequency ratio approach. The frequency ratio (FR) model was used to produce flood prediction maps for New Cairo City, Egypt. Using field data and remote sensing data, 143 spatial flooded point sites were mapped to build a flood inventory map. The primary driving criteria for flash floods were determined to be elevation, slope, aspect, Land Use Land C

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Giordan, Daniele, Davide Notti, Alfredo Villa, et al. "Low cost, multiscale and multi-sensor application for flooded area mapping." Natural Hazards and Earth System Sciences 18, no. 5 (2018): 1493–516. http://dx.doi.org/10.5194/nhess-18-1493-2018.

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Abstract. Flood mapping and estimation of the maximum water depth are essential elements for the first damage evaluation, civil protection intervention planning and detection of areas where remediation is needed. In this work, we present and discuss a methodology for mapping and quantifying flood severity over floodplains. The proposed methodology considers a multiscale and multi-sensor approach using free or low-cost data and sensors. We applied this method to the November 2016 Piedmont (northwestern Italy) flood. We first mapped the flooded areas at the basin scale using free satellite data

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Lee, Sunmin, Saro Lee, Moung-Jin Lee, and Hyung-Sup Jung. "Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools." Sustainability 10, no. 3 (2018): 648. http://dx.doi.org/10.3390/su10030648.

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Using geographic information system (GIS) tools and data-mining models, this study analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea. We created a spatial database of data describing factors including topography, geology, soil, and land use. We used 2010 flood data for training and 2011 data for model validation. Frequency ratio (FR) and logistic regression (LR) models were applied to 2010 flood data to determine the relationships between the flooded area and its causal facto

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Lacava, Teodosio, Emanuele Ciancia, Mariapia Faruolo, Nicola Pergola, Valeria Satriano, and Valerio Tramutoli. "On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection." Remote Sensing 11, no. 5 (2019): 598. http://dx.doi.org/10.3390/rs11050598.

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Timely and continuous information about flood spatiotemporal evolution are fundamental to ensure an effective implementation of the relief and rescue operations in case of inundation events. In this framework, satellite remote sensing may provide a valuable contribution provided that robust data analysis methods are implemented and suitable data, in terms of spatial, spectral and temporal resolutions, are employed. In this paper, the Robust Satellite Techniques (RST) approach, a satellite-based differential approach, already applied at detecting flooded areas (and therefore christened RST-FLOO

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Costache, R., C. Popescu, and A. Barbulescu. "Assessing the vulnerability of buildings to floods in the lower sector of Slănic River. Case Study of Cernăteşti village, Buzău County, Romania." IOP Conference Series: Materials Science and Engineering 1242, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1757-899x/1242/1/012011.

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Abstract Assessing the vulnerability of buildings is very important to determine the settlements affected by floods since authorities can take measures before actual flooding takes place. The present research aims to identify areas affected by flooding in Cernăteşti. The village is located in an area where floods are favored by the elongated shape of the catchment, the horizontal slope, relatively small distance between the hills bordering the valley, water accumulation resulting from flash floods formed upstream, and heavy local rainfall. Field observations, GIS techniques, and mathematical c

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Basumatary, Sadhan Kumar. "Studies on pollen deposition pattern in relation to modern vegetation of flood prone region in Assam, India." Journal of Palaeosciences 66, no. (1-2) (2017): 191–99. http://dx.doi.org/10.54991/jop.2017.283.

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This paper presents a palynological dataset on Pashumara Wetland and Ranga Reserve Forest to differentiate flooded and non–flooded area in relation to existing vegetation in Assam. Study reveals that the palynoassemblage in Pashumara Wetland is an admixture of arboreal local and extra–local taxa and not fully matches with present vegetation. The various pollen distributions were observed in continuation to study sites and confirmed that pollen deposition pattern in wetland depends on parent plant growth, flood activity and surrounding vegetation. Presence of broken pollen is indicative of long

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Joy, Obasi Chinenye, Erepamowei Young, Ajoko Imomotimi Timipa, and Tarinimi Tamunosa Jim-Halliday. "Physicochemical Analysis and Pollution Indices for Heavy Metal Assessment in Flooded and Non-flooded Soils of Obunagha, Bayelsa State, Nigeria." International Research Journal of Pure and Applied Chemistry 25, no. 4 (2024): 34–43. http://dx.doi.org/10.9734/irjpac/2024/v25i4864.

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Soil samples from flood affected areas and non-affected areas of different farmlands in Obunagha, Bayelsa State, Nigeria; were collected for this study. The study was conducted to evaluate the physicochemical properties, and pollution indices of flooded and non-flooded farmlands to see if the flood had any effect in the fertility state of these soils. Atomic absorption spectroscopy (AAS) was used to identify and quantify the several heavy metals (Cd, Cr, Ni, and Zn) that were discovered in the collected soil samples. The findings indicated increased acidity since the pH of the soil varied betw

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Sabljić, Luka, Dragoslav Pavić, Stevan Savić, and Davorin Bajić. "Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina." Geographica Pannonica 27, no. 3 (2023): 184–98. http://dx.doi.org/10.5937/gp27-45600.

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The subject of the research paper is the use of remote sensing in monitoring and analyzing the impact of climate change on the occurrence of extreme precipitation, and the cause-and-effect occurrence of floods in the area of the Sana River Basin in Bosnia and Herzegovina. The goal is to process the "product" of remote sensing to identify the time intervals of occurrence of extreme precipitation, to assess their impact on water levels, and to map potential floods in space. Spatial identification of zones that are at risk of flooding is an integral part of the aforementioned goal. Precipitation

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Paraol, Cristina Martins, and Andresa Pescador. "O uso da integral definida no cálculo da área alagada da barragem do Rio Bonito." Revista Produção e Desenvolvimento 1, no. 3 (2015): 114–30. http://dx.doi.org/10.32358/rpd.2015.v1.88.

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This paper presents an application of definite integral whose objective is to calculate the flooded area of Rio Bonito’s dam. Historical records show the importance of this dam to the region, it is responsible for contain the floods in "Banhado do Sombrio ", and the irrigation of rice fields. The dam format is far from a regular region whose area calculation would be easily found. We study definite integrals and curve fitting. These themes were used to aproximate the flooded area of Rio Bonito’s dam. To facilitate the calculations, we use of GeoGebra and graph softwares.

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Gupta, Gopal Lal. "Monitoring and Strategy For Combating Floods (A Case Study of Eastern Rajasthan)." Anthology The Research 8, no. 11 (2024): E 19 — E 25. https://doi.org/10.5281/zenodo.10836672.

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This paper has been published in Peer-reviewed International Journal "Anthology The Research"                URL : https://www.socialresearchfoundation.com/new/publish-journal.php?editID=8526 Publisher : Social Research Foundation, Kanpur (SRF International)                  Abstract :  The floods are natural phenomena, they had taken place even before the men appeared on the scene and they will continue to take place in future. Th

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Yang, M., X. M. Geng, J. Grace, et al. "Responses of N<sub>2</sub>O flux to water level fluctuation and other environmental factors at littoral zone of Miyun Reservoir: a comparison with CH<sub>4</sub> fluxes." Biogeosciences Discussions 12, no. 7 (2015): 5333–63. http://dx.doi.org/10.5194/bgd-12-5333-2015.

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Abstract. There have been only a few studies that allow us to estimate the contribution of newly-created reservoirs to greenhouse gas budgets. In particular, information is limited for understanding the spatiotemporal variation of N2O flux and the underlying mechanisms in the littoral zone where complex biochemical processes are induced by water level fluctuations. A study was carried out at five different water levels (deep water area, shallow water area, seasonally flooded area, control site for seasonally flooded area and non-flooded area) at the littoral zone of a temperate reservoir using

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Matosak, Bruno Menini, Getachew Workineh Gella, and Stefan Lang. "SenForFlood: A New Global Dataset for Flooded Area Detection." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-7-2025 (May 24, 2025): 97–102. https://doi.org/10.5194/isprs-archives-xlviii-m-7-2025-97-2025.

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Abstract. Floods are devastating hazards that cause human displacement, loss of life and damage of properties. Getting accurate information about the extent and severity of floods is essential for planning proper humanitarian emergency assistance. Though integrating Earth observation with deep learning models supports rapid information extraction, mapping floods accurately is still a challenging task, because of the necessity of extensive, representative datasets with high quality labels to train models. While there exist some datasets that focus on providing satellite imagery for flood events

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Rodriguez, D. A., F. Carriello, P. J. F. Fernandes, L. Garofolo Lopes, and J. L. Siqueira Júnior. "ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 159–61. http://dx.doi.org/10.5194/isprs-archives-xli-b8-159-2016.

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Assessing vulnerability and potential impacts associated with extreme discharges requires an accurate topographic description in order to estimate the extension of flooded areas. However, in most populated regions, topographic data obtained by in-situ measurements is not available. In this case, digital elevation models derived from remote sensing date are usually applied. Moreover, this digital elevation models have intrinsic errors that introduce bigger uncertainty in results than the associated to hydrological projections. On the other hand, estimations of flooded areas through remote sensi

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Rodriguez, D. A., F. Carriello, P. J. F. Fernandes, L. Garofolo Lopes, and J. L. Siqueira Júnior. "ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 159–61. http://dx.doi.org/10.5194/isprsarchives-xli-b8-159-2016.

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Assessing vulnerability and potential impacts associated with extreme discharges requires an accurate topographic description in order to estimate the extension of flooded areas. However, in most populated regions, topographic data obtained by in-situ measurements is not available. In this case, digital elevation models derived from remote sensing date are usually applied. Moreover, this digital elevation models have intrinsic errors that introduce bigger uncertainty in results than the associated to hydrological projections. On the other hand, estimations of flooded areas through remote sensi

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Peñaflor, Bondee L., Shelly Grace S. Almario, and Jemalyn C. Vinarao. "Extent of Typhoon Ulysses Flooding and Flood Risk Management Interventions of Heavily Affected Households in Isabela Province, Philippines." American Journal of Agricultural Science, Engineering, and Technology 6, no. 1 (2022): 10–21. http://dx.doi.org/10.54536/ajaset.v6i1.155.

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The study assessed the extent of typhoon Ulysses flooding and the flood risk management interventions of heavily affected households in Isabela Province. A total of 3,000 respondents were selected through quota sampling technique in four municipalities, namely Cabagan, San Pablo, Sto. Tomas, and Santa Maria. Microsoft Excel and open source GIS software were used in the processing and analysis of data. Results show that in Cabagan, about 3,380 hectares of land were submerged to flood, including about 1,925.56 hectares of cornfields and 407.96 hectares of rice fields. In Santa Maria, about 16.04

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Peñaflor, Bondee L., Shelly Grace S. Almario, and Jemalyn C. Vinarao. "Extent of Typhoon Ulysses Flooding and Flood Risk Management Interventions of Heavily Affected Households in Isabela Province, Philippines." American Journal of Agricultural Science, Engineering, and Technology 6, no. 1 (2022): 10–21. https://doi.org/10.54536/ajaset.v6i1.155.

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The study assessed the extent of typhoon Ulysses flooding and the flood risk management interventions of heavily affected households in Isabela Province. A total of 3,000 respondents were selected through quota sampling technique in four municipalities, namely Cabagan, San Pablo, Sto. Tomas, and Santa Maria. Microsoft Excel and open source GIS software were used in the processing and analysis of data. Results show that in Cabagan, about 3,380 hectares of land were submerged to flood, including about 1,925.56 hectares of cornfields and 407.96 hectares of rice fields. In Santa Maria, about 16.04

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Craciunescu, Vasile, Gheorghe Stancalie, Anisoara Irimescu, et al. "MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania." Journal of Hydrology and Hydromechanics 64, no. 4 (2016): 329–36. http://dx.doi.org/10.1515/johh-2016-0040.

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Abstract Flooding remains the most widely distributed natural hazard in Europe, leading to significant economic and social impact. Earth observation data is presently capable of making fundamental contributions towards reducing the detrimental effects of extreme floods. Technological advance makes development of online services able to process high volumes of satellite data without the need of dedicated desktop software licenses possible. The main objective of the case study is to present and evaluate a methodology for mapping of flooded areas based on MODIS satellite images derived indices an

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Desmond Rowland, Eteh, and Ebiegberi Oborie. "Hazard Flood Mapping and Monitory in Parts of the Niger Delta Region Using Sentinel 1 Synthetic Aperture Radar." Sumerianz Journal of Scientific Research, no. 52 (May 15, 2022): 44–52. http://dx.doi.org/10.47752/sjsr.52.44.52.

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In this study, the RGB band and threshold techniques were used to distinguish between the flooded area and permanent water bodies with the use of Sentinel 1 images to map and monitor flood hazards in Yenagoa, Bayelsa State. The acquired images were before the flood events in January 2019 and during the events in October and November 2019 with the aid of Snap 7.0 and ArcGIS software. The preprocessing of Sentinel-1 images and the mapping procedure have been described in detail, and the results have been evaluated. The results show that the Sentinel 1 sensor can rapidly provide quality data in m

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AOYAMA, Sadayoshi, Yuuki UCHIDA, Masayuki HITOKOTO, Sadakazu MATSUMOTO, and Akihiko ITOU. "EXTRACTION OF FLOODED AREA BY SAR DATA AND FLOOD ANALYSIS." Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 73, no. 2 (2017): I_181—I_187. http://dx.doi.org/10.2208/jscejcei.73.i_181.

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Irawanto, Bakhtiar, Muhammad Jamili, Akhmad Riduan, Riky Welli Saputra, and Imam Suharto. "Assistance to the People of Keliling Benteng Hulu Village who were Affected by Floods in Banjar District." Asian Journal of Community Services 2, no. 5 (2023): 395–406. http://dx.doi.org/10.55927/ajcs.v2i5.4128.

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Keliling Benteng Hulu village, is one of several in the West Martapura sub-district, Banjar Regency, which often experiences natural disasters, especially floods, in the middle of March 2023 this area was flooded, actually the area affected by the flood covers the West Martapura sub-district but in this service activity it is carried out to the community in this village area which includes 65 families. many efforts have been made both from the government and concerned parties to overcome this incident. Community service activities this time aim to minimize the adverse effects of this flood dis

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Mathur, Mayank, Yashi Agarwal, Shubham Pavitra Shah, and Lavanya K. "Detecting Safe Routes During Floods Using Deep Learning." International Journal of Big Data Intelligence and Applications 1, no. 1 (2020): 23–35. http://dx.doi.org/10.4018/ijbdia.2020010102.

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Floods are one of the most devastating and frequently occurring natural disasters throughout the world. Floods can cause blockage of roads and hence create trouble for civilians and authorities to navigate in the flooded area. This paper proposes an automated system that uses a road extraction algorithm to extract roads from satellite images to create a highlighted map of all the available roads during floods. The road extraction algorithm the authors developed uses U-net model architecture, a fully convolutional neural network, to extract roads from aerial images (satellite images and drone i

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Sharif, M., S. Heidari, and S. M. Hosseini. "MAPPING OF URBAN FLOOD INUNDATION USING 3D DIGITAL SURFACE MODEL AND SENTINEL-1 IMAGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 14, 2023): 715–20. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-715-2023.

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Abstract. Flooding in urban areas poses serious risks to citizens, infrastructures, and transportation. Precise and real-time delineation of the inundated areas is crucial for a better understanding of the extent of damage and high-risk areas and people evacuation actions. It also increases citizens' awareness that living in areas with high flood risk. Yazd city is characterized by low rainfall (<70 mm/yr) and the desert climate is considered the study area of this research. This city encountered a flash flood event that was generated by severe rainfall with a depth of 75 mm in 3hr (i.e., t

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Hammami, Saber, Hela Romdhane, Amel Soualmia, and Azeddine Kourta. "A Performance Comparison of the HEC-RAS and TELEMAC-2D Models in Flood Risk Assessment - Application to the Medjerda River." International Journal of Engineering Research in Africa 72 (December 26, 2024): 169–86. https://doi.org/10.4028/p-ti9lit.

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River flooding is one of the most frequent catastrophic events, with dramatic consequences regarding loss of life and economic damage. For this reason, flood hazard and risk management now appear as the fundamental activities that public bodies and competent authorities must implement to reduce human and socio-economic losses. In this context, this study refers specifically to the flooding at the Boussalem city, crossed by Medjerda river in Tunisia. This work aims to assess the suitability of different numerical tools for reproducing flood dynamics using two different fully two-dimensional (2D

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Itagaki, Osamu, Miho Ohara, and Toshio Koike. "Study on a flood damage reduction countermeasure by installing a spillway on a riverine levee for promoting the initiative of River Basin Disaster Resilience and Sustainability by All." Proceedings of IAHS 386 (April 19, 2024): 153–58. http://dx.doi.org/10.5194/piahs-386-153-2024.

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Abstract. In light of the frequent occurrence of unprecedented heavy rains and floods attributable to climate change effects, the importance of the “River Basin Disaster Resilience and Sustainability by All” initiative is being emphasized and promoted strongly in Japan. For promoting discussions on a wide range of countermeasures for flood damage reduction by the initiative, this paper presents a trial estimation result of quantitative flood damage reduction effect by spillway installation on a riverine levee in a protected area where severe flood disasters have occurred in recent years. The r

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Yang, Song-Yue, Che-Hao Chang, Chih-Tsung Hsu, and Shiang-Jen Wu. "Variation of uncertainty of drainage density in flood hazard mapping assessment with coupled 1D–2D hydrodynamics model." Natural Hazards 111, no. 3 (2022): 2297–315. http://dx.doi.org/10.1007/s11069-021-05138-1.

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AbstractCoupled 1D–2D hydrodynamic models are widely utilized in flood hazard mapping. Previous studies adopted conceptual hydrological models or 1D hydrodynamic models to evaluate the impact of drainage density on river flow. However, the drainage density affects not only river flow, but also the flooded area and location. Therefore, this work adopts the 1D–2D model SOBEK to investigate the impact of drainage density on river flow. The uncertainty of drainage density in flood hazard mapping is assessed by a designed case and a real case, Yanshuixi Drainage in Tainan, Taiwan. Analytical result

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JOKANOVIĆ, DUŠAN, TATJANA ĆIRKOVIĆ-MITROVIĆ, VESNA NIKOLIĆ JOKANOVIĆ, and RADOSLAV LOZJANIN. "VARIABILITY OF WOOD FIBRES OF MATURE PEDUNCULATE OAK IN FLOODED AND NON-FLOODED AREA." WOOD RESEARCH 67(4) 2022 67, no. 4 (2022): 533–44. http://dx.doi.org/10.37763/wr.1336-4561/67.4.533544.

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The paper deals with anatomical characteristics of wood fibres of Quercus robur L. Fiber length, double-cell wall thickness and fiber lumen diameter were analysed from samples in flooded and non-flooded area along Sava river in Serbia. All anatomical elements were measured from pith to bark in order to establish variation with cambial age, not only between researched sites, but also between individuals within each locality. In this study, there was no statistically significant difference only for mean values of fiber length between individual trees at non-flooded area, and in fiber lumen diame

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Azhand, Donya, Saied Pirasteh, Masood Varshosaz, et al. "Sentinel 1a-2a Incorporating an Object-Based Image Analysis Method for Flood Mapping and Extent Assessment." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1-2024 (May 9, 2024): 7–17. http://dx.doi.org/10.5194/isprs-annals-x-1-2024-7-2024.

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Abstract. This study presents flood extent extraction and mapping from Sentinel images. Here we suggest an algorithm for extracting flooded areas from object-based image analysis (OBIA) using Sentinel-1A and Sentinel-2A images to map and assess the flood extent from the beginning to one week after the event. This study used multi-scale parameters in OBIA for image segmentation. First, we identified the flooded regions by applying our proposed algorithm on the Sentinel-1A. Then, to evaluate the effects of the flood on each land-use/land cover (LULC) class, Sentinel-2A images is classified using

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Kurniawan, Agung. "Flooding Model as the Analysis of the Sea Level Increase as a Result of Global Warming in Coastal Area in Lampung." JURNAL GEOGRAFI 9, no. 2 (2017): 109. http://dx.doi.org/10.24114/jg.v9i2.6465.

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The melting of ice layers, as a direct impact on global warming, is indicated from a lesser thickness of ice layers is specifically causing an increase on the sea level. Lampung, as a province that has an ecosistem of regional coast, can be estimated to submerge. Flood modelling can be done to know the estimated flood range. The model of the flooded region is taken from Shuttle Radar Topography Mission(SRTM) data, which is nomalized to get the visualisation of Digital Elevation Model (DEM). The purpose of this research is to know the estimated region of provincial coast of Lampung that is goin

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Wahba, Mohamed, Mustafa El-Rawy, Nassir Al-Arifi, and Mahmoud M. Mansour. "A Novel Estimation of the Composite Hazard of Landslides and Flash Floods Utilizing an Artificial Intelligence Approach." Water 15, no. 23 (2023): 4138. http://dx.doi.org/10.3390/w15234138.

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Landslides and flash floods are significant natural hazards with substantial risks to human settlements and the environment, and understanding their interconnection is vital. This research investigates the hazards of landslides and floods in two adopted basins in the Yamaguchi and Shimane prefectures, Japan. This study utilized ten environmental variables alongside categories representing landslide-prone, non-landslide, flooded, and non-flooded areas. Employing a machine-learning approach, namely, a LASSO regression model, we generated Landslide Hazard Maps (LHM), Flood Hazard Maps (FHM), and

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Zúñiga, Emmanuel, and David A. Novelo-Casanova. "Hydrological hazard estimation for the municipality of Yautepec de Zaragoza, Morelos, Mexico." Hydrology 6, no. 3 (2019): 77. http://dx.doi.org/10.3390/hydrology6030077.

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The hydrological hazard for the municipality of Yautepec de Zaragoza, State of Morelos, Mexico, is evaluated considering the overflow process of the rivers located in the Yautepec sub-basin. Different scenarios of hydrological hazard were generated to identify those areas with high flood potential using hydraulic modeling for three return periods (Rp) of 50, 100 and 500 years based on statistical analysis of the maximum annual discharge of the Yautepec hydrometric station. We used the Hec-Ras software and geographic information systems (GIS) to model the different flood scenarios. Our results

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A.A, Lam, Bamba, F, Mariko, A, and Bokar H. "Estimated flooded areas of the Inner Niger Delta from 1960 to 2020 using the Height-Area-Volume (HAV) method." International Journal of Engineering Research and Applications 14, no. 11 (2024): 05–10. http://dx.doi.org/10.9790/9622-14110510.

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The Inner Niger Delta (DIN) is a vast wetland where socio-economic activities (agriculture, livestock breeding, fishing, navigation) are dependent on its fairly complex hydrological regime whose hydrodynamic functioning depends on river inputs from the upstream basins: the upper Niger and Bani. The flooding surface of the DIN is closely linked to its hydrological regime. It was calculated by the HAV (Height-Area-Volume) model during the study period from 1960 to 2020. The HAV model is designed on the basis of two modules: physical and hydrological. The design of the physical module resulted in

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Kholiq, Ghozy Shalahuddin, and Husnul Hidayat. "LiDAR DTM Application for Flood Inundation Modeling and Visualization (Case Study: Batu City, East Java)." IOP Conference Series: Earth and Environmental Science 1127, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1755-1315/1127/1/012011.

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Abstract LiDAR DTM has been widely used for simulating flood inundation from river overflows. This flood inundation simulation needs to be done as an alternative step in the flood control system and flood disaster mitigation to determine the estimated area affected by the flood. Flood simulation is a form of unsteady flow that is simulated with the HEC-RAS program that allows the user to perform one-dimensional steady flow, one and two-dimensional unsteady flow calculations, sediment transport/mobile bed computations, and water temperature/water quality modeling, and visualizes flooded areas a

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Akiyanova, Farida, Nurlan Ongdas, Nurlybek Zinabdin, et al. "Operation of Gate-Controlled Irrigation System Using HEC-RAS 2D for Spring Flood Hazard Reduction." Computation 11, no. 2 (2023): 27. http://dx.doi.org/10.3390/computation11020027.

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Flooding events have been negatively affecting the Republic of Kazakhstan, with higher occurrence in flat parts of the country during spring snowmelt in snow-fed rivers. The current project aims to assess the flood hazard reduction capacity of Alva irrigation system, which is located in the interfluve area of Yesil and Nura Rivers. The assessment is performed by simulating spring floods using HEC-RAS 2D and controlling the gates of the existing system. A digital elevation model of the study domain was generated by integration of Sentinel-1 radar images with the data obtained from bathymetrical

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