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Open AccessEditorial

Leading Progress in Digital Terrain Analysis and Modeling

Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Institute of Photogrammetry and Remote Sensing, Technische Universität, 01069 Dresden, Germany
Department of Mechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA
UNAVCO, Boulder, CO 80301, USA
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(9), 372;
Received: 13 August 2019 / Accepted: 21 August 2019 / Published: 27 August 2019
(This article belongs to the Special Issue Leading Progress in Digital Terrain Analysis and Modeling)
Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a proliferation of multispectral data from new sensors and platforms, driven by regional and national governments, commercial businesses, and scientific groups, with a general trend towards data with higher spatial, spectral or temporal resolutions. Deriving meaningful and interpretable products from such a large pool of data sources sets new challenges. The articles included in this special issue (SI) focuses on terrain analysis applications that advance the fields of hydrology, geomorphology, soil science, geographic information software (GIS), and computer science. They showcase challenging examples of DTA tackling different subjects or different point of views on the same subject. View Full-Text
Keywords: geomorphometry; topography; digital elevation model; digital terrain model geomorphometry; topography; digital elevation model; digital terrain model
MDPI and ACS Style

Sofia, G.; Eltner, A.; Nikolopoulos, E.; Crosby, C. Leading Progress in Digital Terrain Analysis and Modeling. ISPRS Int. J. Geo-Inf. 2019, 8, 372.

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