scholarly journals Performances evaluation of different open source DEM using Differential Global Positioning System (DGPS)

2016 ◽  
Vol 19 (1) ◽  
pp. 7-16 ◽  
Author(s):  
Arun Patel ◽  
S.K. Katiyar ◽  
Vishnu Prasad
2015 ◽  
Vol 18 (3) ◽  
Author(s):  
Ponciana Freire de AGUIAR ◽  
Maâmar El Robrini ◽  
George Satander Sá ◽  
Juliana De Sá Guerreiro

 A zona costeira de Almofala, com uma faixa de 8 km de largura é condicionada por altas temperaturas (>25ºC), pluviometria média de 1.172,21mm, ventos de 5.5m/s, mesomarés de 1.48 m de amplitude e ondas de 0.56 m de altura. A compartimentação morfológica da Planície Costeira de Almofala foi realizada com base em dados de sensores remotos (Quick Bird, 2004; Landsat 5TM, 2006) para geração de MDT (Modelo Digital de Terreno) por interpolação de krigagem e de mapas temáticos (curvas de nível e declividade), em coleta de pontos X, Y e Z, e perfis topográficos com DGPS (Differential Global Positioning System) e sedimentologia. A planície costeira de Almofala possui o planalto costeiro com tabuleiros costeiros, incluindo tabuleiros litorâneos (8.031.957m2) e plataforma de abrasão (34.654m2); a planície costeira inclui a planície aluvial (planície de inundação e terraços com 944.912m2); planície estuarina (planície fluviolagunar/847.036m2, planície de intermaré/5.782.520m2, canais de maré e delta/66.696m2); e a planície arenosa (dunas fixas/ eolianitos 13.879.382m2, dunas móveis/1.463.971 m2, praias de Almofala, da Barreira e de Torrões/837.031 m2).


2021 ◽  
pp. 91-99
Author(s):  
Aqeel A. Abdulhassan ◽  
Ahmed A. Naji ◽  
Haqi H. Abbood

The Digital Elevation Model (DEM) has been known as a quantitative description of the surface of the Earth, which provides essential information about the terrain. DEMs are significant information sources for a number of practical applications that need surface elevation data. The open-source DEM datasets, such as the Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER), the Shuttle Radar Topography Mission (SRTM), and the Advanced Land Observing Satellite (ALOS) usually have approximately low accuracy and coarser resolution. The errors in many datasets of DEMs have already been generally examined for their importance, where their quality could be affected within different aspects, including the types of sensors, algorithms, terrain types, and other features. Ground control points (GCPs) used in this study were observed through the utilization of differential global positioning system (DGPS) with dual frequencies. Statistical indices were used to compare, evaluate, and validate the DEMs data against DGPS data. Statistical analysis of DEMs pointed out that SRTM accuracy was higher, with Root Mean Square Error (RMSE) of ±6.276m as compared to the other DEMs. ASTER showed the biggest residual error with an RMSE of ±10.241m. Nevertheless, ALOS was noticeably improved by having an RMSE of ±6.988m.


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