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2014•Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)Open access

Application of Geostatistical Conflation Techniques to Improve the Accuracy of Digital Elevation Models.

Carlos Alberto Felgueiras, Jussara de Oliveira Ortiz, Eduardo Gerbi Camargo

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Abstract

This short paper describes and analyzes the results of a methodology that allows to conflate existing Digital Elevation Models with a sample set of elevation points in order to obtain more accurate results on modeling elevation information. The set of elevation points has higher vertical accuracy than the DEM and it is used the geostatistical procedure, known as kriging with an external drift, to perform the conflation. An initial case study is presented integrating a Shuttle Radar Topography Mission - SRTM - data and a sample set of elevation points obtained from a region of Campinas, city of São Paulo in Brazil. Others procedures of estimations and simulations will be considered in the future to explore the potential of the conflation techniques using geostatistics.

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What this paper is about

This short paper describes and analyzes the results of a methodology that allows to conflate existing Digital Elevation Models with a sample set of elevation points in order to obtain more accurate results on modeling elevation information. The set of elevation points has higher vertical accuracy than the DEM and it is used the geostatistical procedure, known as kriging with an external drift, to perform the conflation. An initial case study is presented integrating a Shuttle Radar Topography Mission - SRTM - data and a sample set of elevation points obtained from a region of Campinas, city of São Paulo in Brazil. Others procedures of estimations and simulations will be considered in the future to explore the potential of the conflation techniques using geostatistics.

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Available abstract

This short paper describes and analyzes the results of a methodology that allows to conflate existing Digital Elevation Models with a sample set of elevation points in order to obtain more accurate results on modeling elevation information. The set of elevation points has higher vertical accuracy than the DEM and it is used the geostatistical procedure, known as kriging with an external drift, to perform the conflation. An initial case study is presented integrating a Shuttle Radar Topography Mission - SRTM - data and a sample set of elevation points obtained from a region of Campinas, city of São Paulo in Brazil. Others procedures of estimations and simulations will be considered in the future to explore the potential of the conflation techniques using geostatistics.

Key concepts: Conflation, Shuttle Radar Topography Mission, Elevation (ballistics), Digital elevation model, Kriging, Geostatistics, Sample (material), Set (abstract data type)

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Application of Geostatistical Conflation Techniques to Improve the Accuracy of Digital Elevation Models. — Research Paper | ScholarLens