Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography

ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error...

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Main Authors: Jean Michel Moura-Bueno, Ricardo Simão Diniz Dalmolin, Alexandre ten Caten, Luis Fernando Chimelo Ruiz, Priscila Vogelei Ramos, André Carnieletto Dotto
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2016-01-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304&lng=en&tlng=en
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spelling doaj-4bd6679f507f4a6a998cf64145db6b932021-01-02T12:27:15ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572016-01-0140010.1590/18069657rbcs20150022S0100-06832016000100304Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating TopographyJean Michel Moura-BuenoRicardo Simão Diniz DalmolinAlexandre ten CatenLuis Fernando Chimelo RuizPriscila Vogelei RamosAndré Carnieletto DottoABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and DEM-TOPODATA were evaluated with regard to the precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application of the Brazilian Cartographic Accuracy Standards Law (BCASL) to define the scale of each DEM. In addition, the TA derived from each DEM was compared with the TA from DEM-TS, considered to be terrain reality. The results showed that the elevation data of DEM-TS had the best quality (RMSE = 1.93 m), followed by DEM-SRTM (RMSE = 5.95 m), DEM-Topographic Map (RMSE = 8.28 m), DEM-TOPODATA (RMSE = 9.78 m) and DEM-ASTER (RMSE = 15.57 m). The DEM-TS was well-represented at a 1:10,000 scale, while the DEM-Topographic Map and DEM-SRTM fitted 1:50,000, the DEM-TOPODATA 1:50,000 and the DEM-ASTER a 1:100,000 scale. The results of DEM-SRTM and DEM-TOPODATA were closest to terrain reality (DEM-TS) and had the lowest number of spurious depressions and RMSE values for each evaluated attribute, but were inadequate for not fitting detailed scales compatible with small areas. The techniques for the acquisition of elevation data of each DEM and mainly the flat to gently undulating topography were factors that influenced the results. For a DSM at a scale of 1:10,000 in similar areas, the most appropriate model is DEM-TS.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304&lng=en&tlng=enterrain modelingDEM qualityDEM scaleterrain attributessoil mapping
collection DOAJ
language English
format Article
sources DOAJ
author Jean Michel Moura-Bueno
Ricardo Simão Diniz Dalmolin
Alexandre ten Caten
Luis Fernando Chimelo Ruiz
Priscila Vogelei Ramos
André Carnieletto Dotto
spellingShingle Jean Michel Moura-Bueno
Ricardo Simão Diniz Dalmolin
Alexandre ten Caten
Luis Fernando Chimelo Ruiz
Priscila Vogelei Ramos
André Carnieletto Dotto
Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
Revista Brasileira de Ciência do Solo
terrain modeling
DEM quality
DEM scale
terrain attributes
soil mapping
author_facet Jean Michel Moura-Bueno
Ricardo Simão Diniz Dalmolin
Alexandre ten Caten
Luis Fernando Chimelo Ruiz
Priscila Vogelei Ramos
André Carnieletto Dotto
author_sort Jean Michel Moura-Bueno
title Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_short Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_full Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_fullStr Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_full_unstemmed Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_sort assessment of digital elevation model for digital soil mapping in a watershed with gently undulating topography
publisher Sociedade Brasileira de Ciência do Solo
series Revista Brasileira de Ciência do Solo
issn 1806-9657
publishDate 2016-01-01
description ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and DEM-TOPODATA were evaluated with regard to the precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application of the Brazilian Cartographic Accuracy Standards Law (BCASL) to define the scale of each DEM. In addition, the TA derived from each DEM was compared with the TA from DEM-TS, considered to be terrain reality. The results showed that the elevation data of DEM-TS had the best quality (RMSE = 1.93 m), followed by DEM-SRTM (RMSE = 5.95 m), DEM-Topographic Map (RMSE = 8.28 m), DEM-TOPODATA (RMSE = 9.78 m) and DEM-ASTER (RMSE = 15.57 m). The DEM-TS was well-represented at a 1:10,000 scale, while the DEM-Topographic Map and DEM-SRTM fitted 1:50,000, the DEM-TOPODATA 1:50,000 and the DEM-ASTER a 1:100,000 scale. The results of DEM-SRTM and DEM-TOPODATA were closest to terrain reality (DEM-TS) and had the lowest number of spurious depressions and RMSE values for each evaluated attribute, but were inadequate for not fitting detailed scales compatible with small areas. The techniques for the acquisition of elevation data of each DEM and mainly the flat to gently undulating topography were factors that influenced the results. For a DSM at a scale of 1:10,000 in similar areas, the most appropriate model is DEM-TS.
topic terrain modeling
DEM quality
DEM scale
terrain attributes
soil mapping
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304&lng=en&tlng=en
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