scholarly journals A METHOD TO GENERATE FLOOD MAPS IN 3D USING DEM AND DEEP LEARNING

Author(s):  
A. Gebrehiwot ◽  
L. Hashemi-Beni

Abstract. High-resolution remote sensing imagery has been increasingly used for flood applications. Different methods have been proposed for flood extent mapping from creating water index to image classification from high-resolution data. Among these methods, deep learning methods have shown promising results for flood extent extraction; however, these two-dimensional (2D) image classification methods cannot directly provide water level measurements. This paper presents an integrated approach to extract the flood extent in three-dimensional (3D) from UAV data by integrating 2D deep learning-based flood map and 3D cloud point extracted from a Structure from Motion (SFM) method. We fine-tuned a pretrained Visual Geometry Group 16 (VGG-16) based fully convolutional model to create a 2D inundation map. The 2D classified map was overlaid on the SfM-based 3D point cloud to create a 3D flood map. The floodwater depth was estimated by subtracting a pre-flood Digital Elevation Model (DEM) from the SfM-based DEM. The results show that the proposed method is efficient in creating a 3D flood extent map to support emergency response and recovery activates during a flood event.

2021 ◽  
pp. 4529-4536
Author(s):  
Huda M. Hamid ◽  
Fadia W. Al-Azawi

Many satellite systems take cover images like QuickBird for terrain so that these images scan be used to construct 3D models likes Triangulated Irregular Network (TIN), and Digital Elevation Model (DEM). This paper presents a production of 3D TIN for Al-Karkh University of Science in Baghdad - Iraq using QuickBird image data with pixel resolution of 0.6 m. The recent generations of high-resolution satellite imaging systems open a new era of digital mapping and earth observation. It provides not only multi-spectral and high-resolution data but also the capability for stereo mapping. The result of this study is a production of 3D satellite images of the university by merging 1 m DEM with satellite image for ROI using ArcGIS package Version 10.3.


Spatium ◽  
2020 ◽  
pp. 45-52
Author(s):  
Branislav Bajat ◽  
Ognjen Antonijevic ◽  
Milan Kilibarda ◽  
Aleksandar Sekulic ◽  
Jelena Lukovic ◽  
...  

The assessment of the potential use of renewable energy resources requires reliable and precise data inputs for sustainable energy planning on a regional, national and local scale. In this study, we examine high spatial resolution grids of potential insolation and solar duration in order to determine the location of potential solar power plants in Montenegro. Grids with a 25-m spatial resolution of potential solar radiation and duration were produced based on observational records and publicly available high-resolution digital elevation model provided by the European Environment Agency. These results could be further used for the estimation and selection of a specific location for solar panels. With an average annual potential insolation of 1800 kWh/m? and solar duration of over 2000 h per year for most of its territory, Montenegro is one of the European countries with the highest potential for the development, production, and consumption of solar energy.


2017 ◽  
Author(s):  
nur asriyah ◽  
Agung Budi Harto ◽  
Ketut Wikantika

AbstrakPenelitian ini bertujuan untuk membuat model genangan banjir akibat luapan air sungai Cikapundung dari data DEM hasil pengukuran teknologi LIDAR untuk menunjukkan kawa- san berpotensi banjir sehingga dapat membantu dalam upaya mitigasi bencana banjir.Ana- lisis pemodelan banjir memerlukan data topografi yang akurat untuk mendukung kualitas hasil pemodelan banjir. Saat ini, LIDAR merupakan teknologi penginderaan jauh terbaik yang digunakan untuk membuat relief permukaan bumi dalam bentuk tiga dimensi yang di- mana sering disebut sebagai DEM (Digital Elevation Model). Tugas akhir ini membahas tentang pemanfaatan teknologi LIDAR dalam analisis genangan banjir akibat luapan sungai berdasarkan simulasi model hidrodinamik. Pemetaan genangan banjir berdasarkan simulasi model hidrodinamik dapat memberikan gambaran yang cukup baik mengenai daerah-daerah di sekitar sungai yang berpotensi tergenang banjir. Hasil pemetaan genangan banjir dalam penelitian ini sangat bermanfaat untuk upaya mitigasi bencana banjir pada daerah studi.Kata kunci: LIDAR, DEM, Simulasi model hidrodinamik. AbstractThe purpose of this thesis is to create a model of flooding caused by flood waters of Cika- pundung River from DEM data of LIDAR technology measurement to show potential flood areas so that it can assist in mitigation of flood disaster.Flood analysis requires accurate topographic data to obtain a good overview of flood inundation. At this time, LIDAR is the best technology of remote sensing for collecting elevation data from earth surface. This ele- vation data can be used to create relief of the earth’s surface in three-dimensional format which is often referred to as a DEM. This undergraduate thesis dealt with the utilization of LIDAR technology in analysis of flood inundation due to overflowing river based on simu- lation of hydrodynamic model. The flood inundation map based on simulation of hydrody- namic model can show the potential flood areas around the river pretty good. The result of flood inundation map in this thesis can be used for flood disaster mitigation on study area.Keywords: LIDAR, DEM, Simulation of hydrodynamic model.


2020 ◽  
Author(s):  
S.N. Heinlein ◽  
et al.

<div>Video S1: Grayscale digital elevation model generated from high-resolution lidar data illustrating surface expressions at the 1 m to tens of meters scale. Video S2: False-color digital elevation model generated from high-resolution lidar data illustrating surface expressions at the 1 m to tens of meters scale.<br></div>


2020 ◽  
Author(s):  
S.N. Heinlein ◽  
et al.

<div>Video S1: Grayscale digital elevation model generated from high-resolution lidar data illustrating surface expressions at the 1 m to tens of meters scale. Video S2: False-color digital elevation model generated from high-resolution lidar data illustrating surface expressions at the 1 m to tens of meters scale.<br></div>


2011 ◽  
Vol 8 (5) ◽  
pp. 8865-8901
Author(s):  
P. Noel ◽  
A. N. Rousseau ◽  
C. Paniconi

Abstract. Subdivision of catchment into appropriate hydrological units is essential to represent rainfall-runoff processes in hydrological modelling. The commonest units used for this purpose are hillslopes (e.g. Fan and Bras, 1998; Troch et al., 2003). Hillslope width functions can therefore be utilised as one-dimensional representation of three-dimensional landscapes by introducing profile curvatures and plan shapes. An algorithm was developed to delineate and extract hillslopes and hillslope width functions by introducing a new approach to calculate an average profile curvature and plan shape. This allows the algorithm to be independent of digital elevation model resolution and to associate hillslopes to nine elementary landscapes according to Dikau (1989). This algortihm was tested on two flat and steep catchments of the province of Quebec, Canada. Results showed great area coverage for hillslope width function over individual hillslopes and entire watershed.


2021 ◽  
Author(s):  
Emily Law ◽  
Natalie Gallegos ◽  
Shan Malhotra

&lt;p&gt;The Line of Sight (LoS) is one of the latest tools to join the analytics suite of tools for the Solar System Treks (https://trek.nasa.gov) portals.&amp;#160; The LoS tool provides a way to compute visibility between the entities in our solar system. More concretely, this utility searches for windows of communication or a &amp;#8220;line of sight&amp;#8221; between any two entities. Entities include orbiters, rovers, planetary bodies, ground stations, and other topographical locations. In addition to establishing communications between the two entities, the tool also takes into account local terrains of the entities in question.&lt;/p&gt; &lt;p&gt;The software seeks to answer questions about establishing communications between a rover and an orbiter, or an orbiter to a ground station. In mission planning, LoS can be used to determine possible traverses for a rover that must maintain communications with a lander, or find time intervals of communication to an orbiter when a rover or lander are near an obstructing surface feature such as a crater rim or mound. Computations can be even more granular and lines of sight can be computed between mission instruments, thus allowing to ask questions such as &amp;#8220;Is the High Gain Antenna on a rover visible from an orbiter?&amp;#8221;&lt;/p&gt; &lt;p&gt;The initial release of the software focuses on the lunar surface and the LRO spacecraft. Users can ask whether a topographical location on the moon is visible from the orbiter or a discrete set of ground stations on Earth. The tool uses NAIF SPICE and various mission kernels for computing planetary geometries. LoS also uses high resolution Digital Elevation Model (DEM) to model the terrain surrounding the points of interest. In-house software is used to convert high resolution DEMs into a format compatible with the tool. Users can provide their own DEMs to model the terrain on different topographical locations to use for their own computations.&lt;/p&gt;


2018 ◽  
Vol 240 ◽  
pp. 04009
Author(s):  
Younis Saida Saeedrashed ◽  
Ali Cemal Benim

A computational analysis of the hydrodynamics of the Badush dam in Iraq is presented, which is planned to be reconstructed as a repulse dam, to prevent the Mosul city, in case of a failure of the Mosul dam. Computational Fluid Dynamics (CFD) is applied in combination with Geometric Information System (GIS) and Digital Elevation Model (DEM). In the first part of the study, a hydrologic study of a possible Mosul dam failure is performed, predicting the important parameters for a possible flooding of Mosul city. Here, a two-dimensional, depth-averaged shallow water equations are used to formulate the flow. Based on GIS and DEM, the required reservoir size and the water level of the Badush dam are predicted, for its acting as a repulse dam. Subsequently, a computational model of the reconstructed Badush dam is developed, combining the proposed construction with the local geographic topology to achieve a perfect fit. Finally, the water flow through the bottom outlets and stilling basin of the proposed dam is calculated by an unsteady, three-dimensional CFD analysis of the turbulent, free-surface flow. The CFD model is validated by comparing the predictions with measurements obtained on a physical model, where a quite satisfactory agreement is observed.


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