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

Patel, Arun Kumar; Katiyar, Sunil Kumar; Prasad, Vishnu

doi:10.1016/j.ejrs.2015.12.004

Cited by 73 publications

(48 citation statements)

References 21 publications

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“…(Gesch et al, 2012). É feita conforme a seguinte expressão: A RMSE é uma medida estatística da magnitude do erro frequentemente usada para comparar modelos de elevações (e.g., Falorni et al, 2005;Santos et al, 2006;Medeiros et al, 2009;Chagas et al, 2010;Hirt et al, 2010;Mouratidis et al, 2010;Sánchez & Villarán, 2012;Macedo et al, 2013;Moura et al, 2014;Mukul et al, 2015;Santos et al, 2015;Mukul et al, 2016;Patel et al, 2016;Mukul et al, 2017;Marini et al, 2017). Ela avalia as diferenças individuais entre os valores observados pelos valores modelados.…”

Section: Light Detection and Ranging -Mde Lidar Aerotransportadounclassified

Vertical Accuracy and Calibration of Digital Elevation Models (DEMs) for the Piranhas-Assu River Basin, Rio Grande do Norte, Brazil

Araújo

Amaro

Alcoforado³

et al. 2018

Anuário IGEO UFRJ

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ResumoA crescente demanda em uso de dados altimétricos de alta precisão vertical, para o uso em trabalhos ambientais, vem aumentando de forma significativa nos últimos anos. Entretanto, cuidados especiais devem ser tomados para a utilização desse tipo de produto, principalmente na verificação do seu erro vertical. Esse trabalho teve como objetivo avaliar a qualidade vertical e desenvolver uma metodologia de calibração de Modelos Digitais de Elevação (MDEs) obtidos a partir dos levantamentos realizados pela Shuttle Radar Topographic Mission e de sensores aerotransportados Light Detection And Ranging na Bacia Hidrográfica Piranhas-Açú, região norte do Estado do Rio Grande de Norte, Brasil. Essa avaliação e calibração foi realizada para duas porções dentro da área de estudo: uma regional e outra local. Na área regional foi utilizado apenas o MDE SRTM, enquanto que na área local, foram utilizados os MDEs SRTM e LiDAR aerotransportado. Para calibração foi utilizada uma malha com pontos de controle altimétrico de alta precisão vertical. Os resultados demonstraram que nas áreas de estudo, o MDE SRTM apresentou uma avaliação satisfatória de precisão vertical, melhorada (de 26 a 29%), após sua calibração. Na área local, o uso do MDE LiDAR aerotransportado se mostrou com melhor precisão vertical em comparação ao MDE SRTM, e também foi melhorado (15%) após sua calibração com pontos de controle. Esta pesquisa demonstra a necessidade de avaliação e calibração regional/local do erro vertical de qualquer MDE, antes do seu uso, em trabalhos que necessitem de informações verticais. AbstractThere is a growing need for high resolution altimetry data to use in environmental research in the last years. Therefore, addition criteria must be applied for this data usage, especially due to vertical error. This paper focuses on vertical error evaluation and calibration methodology of Digital Elevation Models (DEM) obtained with Shuttle Radar Topographic Mission and with airborne Light Detection and Ranging in the Piranhas-Açu river basin; north part of Rio Grande do Norte State, Brazil. The evaluation and calibration was conducted in two sectors of the study area: regional and local. The regional sector was evaluated with SRTM data only and the local sector with DEM from SRTM and airborne LiDAR. The calibration used a network of high vertical accuracy altimetric control points data. The results show that the in the study area the SRTM DEM accuracy is satisfactory and was improved by 26-29% after calibration. In the local area, airborne LiDAR is more accurate than SRTM and was also enhanced by control points calibration (15%). This paper demonstrates the need for vertical error analysis and calibration in DEM prior to topographic use.

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Section: Light Detection and Ranging -Mde Lidar Aerotransportadounclassified

Vertical Accuracy and Calibration of Digital Elevation Models (DEMs) for the Piranhas-Assu River Basin, Rio Grande do Norte, Brazil

Araújo

Amaro

Alcoforado³

et al. 2018

Anuário IGEO UFRJ

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“…In mangroves, the microtopography of hydric soils strongly controls the flow of water, forcing its convergence or divergence in response to height differences of a few millimeter. To characterize the microtopography of the terrain (Zone II), we used the stop-and-go mode with readings from a DGPS method at a single known point (18.651603 N, 91.7591042 W and 0.446 masl referenced to WGS84) [49]. With the collected data, a digital elevation model (DEM) was generated and processed by using the watershed analysis included in the surface analysis module of the Microimages software (TNT Mips ver.…”

Section: Hydrological Restorationmentioning

confidence: 99%

“…The water level loggers collected data every 60 minutes. All sites were georeferred using a single known point (18.651603 N, 91.7591042 W and 0.446 masl referenced to WGS84) [49].…”

Section: Environmental Monitoringmentioning

confidence: 99%

Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands

et al. 2020

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The restoration of mangroves has gained prominence in recent decades. Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determine the hydrological flow paths to restore the hydrological regimes of the impaired mangroves. The hydrological flow paths were determined through a micro basin analysis based on microtopographic data to generate a digital elevation model. Applying this methodological approach, the hydrology of an impaired area on a barrier island in the Gulf of Mexico was restored by excavating, desilting or clearing the channels on the identified hydrological flow paths. This area was compared to one in which impaired mangroves were reconnected to the marine lagoon but disregarding the flow paths. Data collected in both areas were evaluated by flood level analysis, using two methods: (i) a simple linear regression model (SLRM) and (ii) spectral analysis (SA), also known as dominant frequency analysis. The results suggest that restoration based on the hydrological flow paths was more effective than the direct opening to the nearest main water body without accounting for the microtopography. In both areas, soil salinity and sulfides decreased after hydrological reconnection. However, a greater efficiency in the investment of time and human resources was achieved when preferential flow paths were identified and taken into account. The methodological procedures described in this study are of universal application to other mangrove restoration programs.

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“…Bu çalışmanın gerçekleştirildiği açık arazide ise ASTER SYM için yükseklik hata değeri yaklaşık 11 m olarak tespit edilmiştir. ASTER ve SRTM modelleri yükseklik hatası alan örtüsü / kullanım, eğim ve topoğrafya gibi faktörlerden etkileneceğinden hata oranları değişiklik gösterebilir [20]. SRTM ve fotogrametrik yöntemlerle üretilen modeller göz önüne alındığında, ASTER modeli için ortalama hatanın yaklaşık 4 kat fazla olduğu ortaya çıkmıştır.…”

Section: Metodunclassified

Elevation Error Comparision of Commonly Used Digital Evation Models (Dem) for Natural Resource Management With Ground Control Points

Gülci¹,

Yüksel²,

Gülci³

2017

MEJS

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

Cited by 73 publications

References 21 publications

Vertical Accuracy and Calibration of Digital Elevation Models (DEMs) for the Piranhas-Assu River Basin, Rio Grande do Norte, Brazil

Vertical Accuracy and Calibration of Digital Elevation Models (DEMs) for the Piranhas-Assu River Basin, Rio Grande do Norte, Brazil

Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands

Elevation Error Comparision of Commonly Used Digital Evation Models (Dem) for Natural Resource Management With Ground Control Points

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