scholarly journals Lidar-derived elevation data for upper Barry Arm, Southcentral Alaska, June 26, 2020

2021 ◽  
Author(s):  
R.P. Daanen ◽  
G.J. Wolken ◽  
Katreen Wikstrom Jones ◽  
A.M. Herbst
Keyword(s):  
Southcentral Alaska ◽  
Elevation Data

scholarly journals Lidar-derived elevation data for Turnagain Pass, southcentral Alaska, September 2, 2018

2021 ◽  
Author(s):  
Katreen Wikstrom Jones ◽  
G.J. Wolken ◽  
R.P. Daanen ◽  
A.M. Herbst
Keyword(s):  
Southcentral Alaska ◽  
Elevation Data

scholarly journals Photogrammetry-derived orthoimagery and elevation data for Barry Arm landslide, Southcentral Alaska, June 27, 2020

2021 ◽  
Author(s):  
Katreen Wikstrom Jones ◽  
G.J. Wolken ◽  
R.P. Daanen ◽  
A.M. Herbst
Keyword(s):  
Southcentral Alaska ◽  
Elevation Data

scholarly journals High resolution lidar-derived elevation data for Barry Arm landslide, Southcentral Alaska, June 26, 2020

2021 ◽  
Author(s):  
R.P. Daanen ◽  
G.J. Wolken ◽  
Katreen Wikstrom Jones ◽  
A.M. Herbst
Keyword(s):  
High Resolution ◽  
Southcentral Alaska ◽  
Elevation Data

Urban Flood Mapping

2017 ◽  
Author(s):  
Indra Riyanto ◽  
Lestari Margatama
Keyword(s):  
Natural Disasters ◽  
Satisfying Condition ◽  
Three Dimensions ◽  
Urban Flood ◽  
Digital Elevation ◽  
Elevation Data ◽  
Recent Occurrence ◽  
Elevation Model ◽  
Digital Elevation Model Data ◽  
Potential Area

The recent degradation of environment quality becomes the prime cause of the recent occurrence of natural disasters. It also contributes in the increase of the area that is prone to natural disasters. Flood history data in Jakarta shows that flood occurred mainly during rainy season around January – February each year, but the flood area varies each year. This research is intended to map the flood potential area in DKI Jakarta by segmenting the Digital Elevation Model data. The data used in this research is contour data obtained from DPP–DKI with the resolution of 1 m. The data processing involved in this research is extracting the surface elevation data from the DEM, overlaying the river map of Jakarta with the elevation data. Subsequently, the data is then segmented using watershed segmentation method. The concept of watersheds is based on visualizing an image in three dimensions: two spatial coordinates versus gray levels, in which there are two specific points; that are points belonging to a regional minimum and points at which a drop of water, if placed at the location of any of those points, would fall with certainty to a single minimum. For a particular regional minimum, the set of points satisfying the latter condition is called the catchments basin or watershed of that minimum, while the points satisfying condition form more than one minima are termed divide lines or watershed lines. The objective of this segmentation is to find the watershed lines of the DEM image. The expected result of the research is the flood potential area information, especially along the Ciliwung river in DKI Jakarta.

scholarly journals MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms

2021 ◽  
Vol 13 (14) ◽  
pp. 2810
Author(s):  
Joanna Gudowicz ◽  
Renata Paluszkiewicz
Keyword(s):  
Rapid Development ◽  
Assessment Tools ◽  
Lidar Data ◽  
Automatic Extraction ◽  
Sensing Technology ◽  
Digital Elevation ◽  
Elevation Data ◽  
Elevation Model ◽  
Morphometric Assessment ◽  
Morphometric Evaluation

The rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, sinkholes, craters, and others. The aim of this study was to develop a geographic information systems (GIS) toolbox for the automatic extraction of 26 morphometric characteristics, which include the geometry, hypsometry, and volume of concave landforms. The Morphometry Assessment Tools (MAT) toolbox in the ArcGIS software was developed. The required input data are a digital elevation model and the form boundary as a vector layer. The method was successfully tested on an example of 21 erosion-denudation valleys located in the young glacial area of northwest Poland. Calculations were based on elevation data collected in the field and LiDAR data. The results obtained with the tool showed differences in the assessment of the volume parameter at the average level of 12%, when comparing the field data and LiDAR data. The algorithm can also be applied to other types of concave forms, as well as being based on other DEM data sources, which makes it a universal tool for morphometric evaluation.

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