Vertical Accuracy Assessment of the Processed SRTM Data for the Brazilian Territory

Orlandi, Alex Gois; Júnior, Osmar Abı́lio de Carvalho; Guimarães, Renato Fontes; Bias, Edilson de Souza; Corrêa, Douglas Corbari; Gomes, Roberto Arnaldo Trancoso

doi:10.1590/s1982-21702019000400021

Cited by 10 publications

(14 citation statements)

References 34 publications

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“…Several studies (such as Li and Wong 2010;Tarekegn et al 2010;Thomas et al 2014;Saksena and Merwade 2015;Hsu et al 2016;Santillan and Makinano-Santillan 2016;Hashimoto et al 2018;Rana and Suryanarayana 2019;Talchabhadel et al 2019) have been conducted for assessment of accuracy of different DEMs in different regions of the world. Those accuracy were evaluated with respect to ground-based data using different techniques like using digital global positioning system with SRTM, ASTER, and Carto DEMs by Patel et al (2016), vertical accuracy on the southern central Andean plateau (Purinton and Bookhagen 2017), over the Australian continent (Rexer and Hirt 2014) and vertical accuracy of SRTM with survey field points in Brazilian region (Orlandi et al 2019). Not only in the accuracy assessment of different DEMs, those DEMs were used by different researchers for different purposes.…”

Section: Introductionmentioning

confidence: 99%

Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models

Talchabhadel

Nakagawa

Kawaike

et al. 2021

Geomatics, Natural Hazards and Risk

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Highly accurate air-borne Digital Elevation Models (DEMs) are not commonly available in most regions of the world, particularly developing countries like Nepal. Better topographic data are required to assess catchment hydrology, flood/inundation propagation, and sediment transport/deposition. Ground-based surveys (i.e., topographic and bathymetry) and Light Detection and Ranging (LIDAR) are expensive in terms of cost and time. We rely mostly on space-borne DEMs when the area of interest is quite large. And, for river cross-sections at specific regions, ground-based surveys are conducted at some regular intervals. The ALOS World 3 D À 30 m (AW3D30), ASTER Global DEM Version 3 (ASTER GDEM v3), SRTM-30, and Carto DEM v3 are some of the popular and latest space-borne DEMs that have been made available to the general public free of charge at a spatial resolution of 30 m. The availability of multiple space-borne DEMs may likely puzzle the practitioners on the selection of appropriate products. Here in this study, we evaluate the vertical accuracy of different space-borne DEMs with respect to the ground-based survey points (2891 points) at river cross-sections and ground-based indicative spot heights (8102 points) across the West Rapti River basin, Nepal. Performance metrics, like mean error and root mean square error (RMSE), were used to quantify deviation with respect to observed elevation. The AW3D30 showed the lowest RMSE value (i.e., 3.41 m) in the lower region of the study area. We numerically simulated the inundation propagation based on four selected DEMs using a calibrated two-dimensional runoff inundation model, and we find the AW3D30 outperforms other DEMs. All four DEMs showed a similar tendency on a catchment scale with respect to the information of indicative spot heights, suggesting interchangeable applications of all four DEMs in hydrologic analyses. However, precise ground-based observations across the catchment are needed for assuring the applicability.

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Section: Introductionmentioning

confidence: 99%

Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models

Talchabhadel

Nakagawa

Kawaike

et al. 2021

Geomatics, Natural Hazards and Risk

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“…NASADEM expanded the legacy of the SRTM by improving the accuracy of the DEM and data coverage on a global scale. SRTM mission mapped the topography of continental areas of the Earth between 60° N latitude and 56° S latitude using InSAR [ 3 , 34 , 35 ]. Three versions of the SRTM were launched; the last one is the SRTM Global 1 arc second, version 3.0 (SRTM Plus or SRTM NASA Version 3), which is void-filled using elevation data from ASTER GDEM 2, USGS National Elevation Dataset, and USGS Global Multi-resolution Terrain Elevation Data (GMTED) 2010 [ 36 , 37 ].…”

Section: Methodsmentioning

confidence: 99%

“…SRTM mission mapped the topography of continental areas of the Earth between 60° N latitude and 56° S latitude using InSAR [2,33,34]. Three versions of the SRTM were launched; the last one is the SRTM Global 1 arc second, version 3.0 (SRTM Plus or SRTM NASA Version 3), which is void-filled using elevation data from ASTER GDEM 2, USGS National Elevation Dataset, and USGS Global Multi-resolution Terrain Elevation Data (GMTED) 2010 [35,36]. SRTM Plus was produced under the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program and, in 2014, it was publicly announced with a resolution of 1 arc second (~ 30 m in the equator line) [36].…”

Section: Nasadem_hgtmentioning

confidence: 99%

Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado

Bettiol

Ferreira

Motta

et al. 2021

Sensors

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The Brazilian Cerrado (tropical savanna) is the second largest biome in South America and the main region in the country for agricultural production. Altitude is crucial information for decision-makers and planners since it is directly related to temperature that conditions, for example, the climatic risk of rainfed crop plantations. This study analyzes the conformity of two freely available digital elevation models (DEMs), the NASADEM Merged Digital Elevation Model Global 1 arc second (NASADEM_HGT) version 1 and the Advanced Land Observing Satellite Global Digital Surface Model (ALOS AW3D30), version 3.1, with the altitudes provided by 1695 reference stations of the Brazilian Geodetic System. Both models were evaluated based on the parameters recommended in the Brazilian Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD), which defines error tolerances according to eight different scales (from 1:1000 to 1:250,000) and classes A (most strict tolerance, for example, 0.17 m for 1:1000 scale), B, C, and D (least strict tolerance, for example, 50 m for 1:250,000 scale). Considering the class A, the NASADEM_HGT meets 1:250,000 and lower scales, while AW3D30 meets 1:100,000 and lower scales; for class B, NASADEM_HGT meets 1:100,000 scale and AW3D30 meets 1:50,000. AW3D30 presented lower values of root mean square error, standard deviation, and bias, indicating that it presents higher accuracy in relation to the NASADEM_HGT. Within eight of Cerrado’s municipalities with the highest grain production, the differences between average altitudes, measured by the Cohen’s effect size, were statistically insignificant. The results obtained by the PEC-PCD for the Cerrado biome indicate that both models can be employed in different DEM-dependent applications over this biome.

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“…Diversos estudos já foram desenvolvidos sobre a qualidade do SRTM analisando: acuraria posicional de redes de drenagem (Tolentino et al, 2017), avaliação vertical de Modelos Digital de Elevação (Miceli et al, (2011); Bias et al, (2011); Lousada e Fernandes (2017); Morais et al, (2017); Marini et al, (2017); Pham (2018); Orlandi et al, (2019); Machado et al, (2019); Santos, et al, (2020); Ariza-López, e Reinoso-Gordo (2021).…”

Section: Introductionunclassified

SRTM: Para uma melhor Utilização - Conhecendo um pouco mais da qualidade planialtimétrica, da influência da resolução espacial e dos modelos de superfície equipotenciais de referência.

Orlando

Bias

Cereda³

2022

Rev. Bras. Geog. Fis.

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Mundialmente, o uso de modelos de terreno a partir de um tratamento matemático sobre dados disponibilizados gratuitamente é uma constante, como são os casos dos dados Shuttle Radar Topography Mission (SRTM), Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Alos World 3D (AW3D), Global Digital Elevation Model (GDEM), entre outros, sem conhecer a verdadeira qualidade altimétrica e planimétrica dos dados. A maior parte dos usuários desprezam a avaliação planimétrica e focam apenas no refinamento da componente altimétrica, desconsiderando que o erro da componente planimétrica interfere diretamente na qualidade altimétrica do modelo. Desta forma, o objetivo deste estudo é fazer uma avaliação planimétrica do SRTM, além da avaliação altimétrica do mesmo para todo o território brasileiro. Diversos estudos avaliaram o SRTM, utilizando pontos de referência sem uma cobertura de todo o território brasileiro, aplicando simplesmente metodologias de expansão dos resultados obtidos para outras áreas, enquanto no presente estudo utilizou-se pontos de referência distribuídos por todo o território brasileiro, obtidos por satélite, Ice Cloud and Land Elevation Satellite (ICESat). Este estudo tem como finalidade, além da avaliação da qualidade do SRTM, avaliar a influência da discrepância entre as superfícies de referência dos dados (MapGeo2015 para os pontos de controle X EGM96 para o SRTM). Tem-se a ideia que a qualidade do modelo está ligado diretamente ao tamanho do pixel, sendo que os resultados deste estudo mostram que a melhora da qualidade do MDE não é proporcional à melhora da resolução espacial do dado, mostra também, que a superfície EGM96 é satisfatória para escalas de 1/50.000 ou menores.Palavras-chave: Modelos Matemáticos, ICESat, Qualidade de dados geoespaciais. SRTM: For a better user – knowing a little more about planialtimetric quality, the influence of spatial resolution and reference equipotential surface models A B S T R A C TWorldwide, the use of terrain models based on a mathematical treatment of freely available data is a constant, as in the case of Shuttle Radar Topography Mission (SRTM) data, Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Alos World 3D (AW3D), Global Digital Elevation Model (GDEM), among others, without knowing the true altimetric and planimetric quality of the data. Most users despise the planimetric evaluation and focus only on the refinement of the altimetric component, ignoring that the error of the planimetric component directly interferes with the altimetric quality of the model. Thus, the objective of this study is to carry out a planimetric evaluation of the SRTM, in addition to its altimetric evaluation for the entire Brazilian territory. Several studies have evaluated the SRTM, using reference points without coverage of the entire Brazilian territory, simply applying methodologies to expand the results obtained to other areas, while in the present study reference points distributed throughout the Brazilian territory were used, obtained by satellite, Ice Cloud and Land Elevation Satellite (ICESat). This study aims, in addition to evaluating the quality of the SRTM, to assess the influence of the discrepancy between the reference surfaces of the data (MapGeo2015 for control points X EGM96 for the SRTM). There is the idea that the quality of the model is directly linked to the pixel size, and the results of this study show that the improvement in the quality of the MDE is not proportional to the improvement in the spatial resolution of the data, it also shows that the EGM96 surface it is satisfactory for scales of 1/50,000 or less.Key-words: Mathematical Models, ICESat, Geospacial data quality.

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Vertical Accuracy Assessment of the Processed SRTM Data for the Brazilian Territory

Abstract: This content is licensed under a Creative Commons Attribution 4.0 International License.

Cited by 10 publications

References 34 publications

Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models

Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models

Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado

SRTM: Para uma melhor Utilização - Conhecendo um pouco mais da qualidade planialtimétrica, da influência da resolução espacial e dos modelos de superfície equipotenciais de referência.

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