High Accuracy Regular Grid Digital Elevation Model Modeling Based on 3D Triangulated Irregular Network Using Total Station Measured Points

2014 ◽  
Vol 12 (3) ◽  
pp. 499-508 ◽  
Author(s):  
Baisong Chen ◽  
Zhuo Fu ◽  
Haiying Ouyang ◽  
Yingze Sun ◽  
Jing Hu ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
High Accuracy ◽  
Regular Grid ◽  
Triangulated Irregular Network ◽  
Total Station ◽  
Digital Elevation ◽  
Elevation Model

An Approach to Diminish Boundary Distortion in Compressing Grid DEM with Discrete Wavelet Transform

2012 ◽  
Vol 220-223 ◽  
pp. 2617-2621
Author(s):  
Zhan Qiang Chang ◽  
Xiao Meng Liu ◽  
Zu Rui Ao
Keyword(s):  
Wavelet Transform ◽  
Spatial Analysis ◽  
Data Compression ◽  
Discrete Wavelet Transform ◽  
Digital Elevation Model ◽  
High Accuracy ◽  
Discrete Wavelet ◽  
The Core ◽  
Digital Elevation ◽  
Elevation Model

Digital elevation model, the core data for 3-dimensinal visualization and spatial analysis, plays a key role in geosciences and GIS, and wavelet transform is an important tool for data compression. According to the characteristics of DEM data and wavelet transform, we proposed an approach to diminish boundary distortion in compressing grid DEM data with discrete wavelet transform, so that the compression performances are evidently improved. The experimental results indicate that not only higher compression ratios but also reconstructed DEM data with high accuracy are achieved by using the proposed approach.

scholarly journals Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands Using A High-Accuracy Digital Elevation Model

2020 ◽  
Vol 12 (1) ◽  
pp. 154 ◽  
Author(s):  
Dean Gesch ◽  
Monica Palaseanu-Lovejoy ◽  
Jeffrey Danielson ◽  
Charles Fletcher ◽  
Maria Kottermair ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
High Accuracy ◽  
Probabilistic Methods ◽  
Marshall Islands ◽  
Motion Processing ◽  
Central Pacific ◽  
Digital Elevation ◽  
Elevation Data ◽  
Datum Transformation ◽  
Elevation Model

Majuro Atoll in the central Pacific has high coastal vulnerability due to low-lying islands, rising sea level, high wave events, eroding shorelines, a dense population center, and limited freshwater resources. Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data (with accuracy information) are critical for assessments of inundation exposure. Previous research has demonstrated the importance of using high-accuracy elevation data and rigorously accounting for uncertainty in inundation assessments. A quantitative analysis of inundation exposure was conducted for Majuro Atoll, including accounting for the cumulative vertical uncertainty from the input digital elevation model (DEM) and datum transformation. The project employed a recently produced and validated DEM derived from structure-from-motion processing of very-high-resolution aerial imagery. Areas subject to marine inundation (direct hydrologic connection to the ocean) and low-lying lands (disconnected hydrologically from the ocean) were mapped and characterized for three inundation levels using deterministic and probabilistic methods. At the highest water level modeled (3.75 ft, or 1.143 m), more than 34% of the atoll study area is likely to be exposed to inundation (68% chance or greater), while more than 20% of the atoll is extremely likely to be exposed (95% chance or greater). The study demonstrates the substantial value of a high-accuracy DEM for assessing inundation exposure of low-relief islands and the enhanced information from accounting for vertical uncertainty.

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