scholarly journals Bare‐Earth DEM Generation in Urban Areas for Flood Inundation Simulation Using Global Digital Elevation Models

2021 ◽  
Vol 57 (4) ◽  
Author(s):  
Yinxue Liu ◽  
Paul D. Bates ◽  
Jeffery C. Neal ◽  
Dai Yamazaki
Keyword(s):  
Urban Areas ◽  
Digital Elevation Models ◽  
Flood Inundation ◽  
Digital Elevation ◽  
Inundation Simulation

scholarly journals Hydrological and hydraulic models for determination of flood-prone and flood inundation areas

2016 ◽  
Vol 373 ◽  
pp. 137-141 ◽  
Author(s):  
Hafzullah Aksoy ◽  
Veysel Sadan Ozgur Kirca ◽  
Halil Ibrahim Burgan ◽  
Dorukhan Kellecioglu
Keyword(s):  
Cross Sections ◽  
Urban Areas ◽  
Work Load ◽  
Hydraulic Model ◽  
Flood Inundation ◽  
Detailed Data ◽  
Wetness Index ◽  
Digital Elevation ◽  
Elevation Model ◽  
Flood Prone Areas

Abstract. Geographic Information Systems (GIS) are widely used in most studies on water resources. Especially, when the topography and geomorphology of study area are considered, GIS can ease the work load. Detailed data should be used in this kind of studies. Because of, either the complication of the models or the requirement of highly detailed data, model outputs can be obtained fast only with a good optimization. The aim in this study, firstly, is to determine flood-prone areas in a watershed by using a hydrological model considering two wetness indexes; the topographical wetness index, and the SAGA (System for Automated Geoscientific Analyses) wetness index. The wetness indexes were obtained in the Quantum GIS (QGIS) software by using the Digital Elevation Model of the study area. Flood-prone areas are determined by considering the wetness index maps of the watershed. As the second stage of this study, a hydraulic model, HEC-RAS, was executed to determine flood inundation areas under different return period-flood events. River network cross-sections required for this study were derived from highly detailed digital elevation models by QGIS. Also river hydraulic parameters were used in the hydraulic model. Modelling technology used in this study is made of freely available open source softwares. Based on case studies performed on watersheds in Turkey, it is concluded that results of such studies can be used for taking precaution measures against life and monetary losses due to floods in urban areas particularly.

scholarly journals Metric Accuracy of Digital Elevation Models from WorldView-3 Stereo-Pairs in Urban Areas

2019 ◽  
Vol 11 (7) ◽  
pp. 878 ◽  
Author(s):  
Emanuele Mandanici ◽  
Valentina A. Girelli ◽  
Luca Poluzzi
Keyword(s):  
Urban Areas ◽  
Digital Elevation Models ◽  
Technical Note ◽  
Aerial Images ◽  
Average Error ◽  
Open Spaces ◽  
Urban Structures ◽  
Digital Elevation ◽  
New Applications ◽  
The City

WorldView-3 satellite is providing images with an unprecedented combination of high spatial and spectral resolution. The stereo capabilities and the very high resolution of the panchromatic band (0.31 m) have been fostering new applications in urban areas, where the complexity of the morphology requires a higher level of detail. The present technical note aims to test the accuracy of digital elevation models that can be obtained by WorldView-3 stereo-pairs in these particular contexts, with an operational state-of-the-art algorithm. Validation is performed using check points and existing models of the area (from LiDAR data and oblique aerial images). The experiments, conducted over the city of Bologna (Italy) with six images, proved that roof surfaces and open spaces can be reconstructed with an average error of 1–2 pixels, but severe discrepancies frequently occur in narrow roads and urban canyons (up to several metres in average). The level of completeness achievable with only one pair is extremely variable (ranging from 50% to 90%), due to the combined effect of the geometry of acquisition and the specific urban texture. Better results can be obtained by using more than one pair. Furthermore, smaller convergence angles can be beneficial for the reconstruction of specific urban structures, such as soaring towers.

scholarly journals Implications of Simulating Global Digital Elevation Models for Flood Inundation Studies

2018 ◽  
Vol 54 (10) ◽  
pp. 7910-7928 ◽  
Author(s):  
Laurence Hawker ◽  
Jonathan Rougier ◽  
Jeffrey Neal ◽  
Paul Bates ◽  
Leanne Archer ◽  
...  
Keyword(s):  
Digital Elevation Models ◽  
Flood Inundation ◽  
Digital Elevation

scholarly journals BUILT UP CHANGE DETECTION BASED ON STRUCTURAL CLASSIFICATION OF DIGITAL ELEVATION MODELS

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 493-496
Author(s):  
S. Hosseini ◽  
F. Tabib Mahmoudi ◽  
A. Aboutalebi
Keyword(s):  
Change Detection ◽  
Urban Areas ◽  
Digital Elevation Models ◽  
Three Dimensional ◽  
Detection Methods ◽  
Remotely Sensed Data ◽  
Structural Classification ◽  
Digital Elevation ◽  
Multi Temporal

Abstract. Multi temporal changes in built up areas are mainly caused by natural disasters (such as floods and earthquakes) or urban sprawl. Detecting these changes which consist of construction, destruction and renovation of buildings can play an important role in updating three dimensional city models and making the right decisions for urban management. Generally, change detection methods based on multi temporal remotely sensed data can be divided into 2D and 3D categories. Three dimensional change detection methods are suitable for identifying the changes of three dimensional objects such as buildings and their results are more close to reality. The objective of this study is to provide an effective method for 3D change detection of buildings in urban areas based on Digital Elevation Models (DEM). The proposed method in this paper consists of three main steps; 1) generating the normalized DSM for two epochs, 2) performing segmentation and structural classification of image segments in order to generate multi temporal classification maps, 3) producing the change maps. The ability of the proposed algorithm is evaluated in a rapid developing urban area in Tehran, Iran in a 9-years interval. The obtained results represent that the ground and bare soil decrease for about −1.37% and low-rise buildings also decrease for about −9.7%. Moreover, the class of high-rise buildings increases for about +16.4% which conforms making new constructions in addition to renovation of low-rise buildings.

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