Special Issue "Remote Sensing in Geomorphology"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 April 2014)
Dr. Richard Gloaguen
Remote Sensing Group, Helmholtz Institute Freiberg, TU Bergakademie Freiberg, Bernhard von-Cotta Str., 2, D-09599 Freiberg, Germany
Phone: +49 351 260 4424
Interests: earth sciences; remote sensing/photogrammetry; tectonic geomorphology; vegetation physical properties; hydrological cycle
Dr. Louis Andreani
Remote Sensing Group, Institut für Geologie, Technische Universität Bergakademie Freiberg, Bernhard-von-Cotta Straße 2, D-09599 Freiberg/Sachsen, Germany
Phone: +49 351 260 4424
Interests: earth sciences; remote sensing; tectonic geomorphology; geodynamics
Landscapes are the result of complex interactions between complex surface processes. The distribution of landmasses is modified by geological factors (such as tectonic activity or volcanism) or eustatic changes. Resulting topography is in turn shaped by erosional processes which are themselves controlled by climate. During the last decades, remote sensing has been extensively used in geomorphology due to its ability to provide critical informations regarding the distribution of landforms and their association with meaningful ground features (e.g., faults, drainage networks) or climatic variables (e.g., precipitations). The application of remote sensing to geomorphology is also closely related to the use of computational methods and analytical tools which allows to extract and interpret these parameters.
The aim of this special issue is to cover remote sensed analyses of landscapes and their application to the understanding of surface processes. We are mainly interested in research dealing with the interactions between tectonic, erosion and climate. Innovative papers on data processing or new computational methods for extracting geologic or geomorphic features are also greatly encouraged.
Dr. Richard Gloaguen
Dr. Louis Andreani
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
- surface processes
- computational methods
Article: DEM-Based Analysis of Interactions between Tectonics and Landscapes in the Ore Mountains and Eger Rift (East Germany and NW Czech Republic)
Remote Sens. 2014, 6(9), 7971-8001; doi:10.3390/rs6097971
Received: 26 April 2014; in revised form: 9 August 2014 / Accepted: 11 August 2014 / Published: 26 August 2014| PDF Full-text (20458 KB)
Article: Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion
Remote Sens. 2014, 6(8), 7050-7080; doi:10.3390/rs6087050
Received: 27 February 2014; in revised form: 16 July 2014 / Accepted: 21 July 2014 / Published: 29 July 2014| PDF Full-text (19817 KB)
Article: Assessing Long-Term Changes in the Beach Width of Reef Islands Based on Temporally Fragmented Remote Sensing Data
Remote Sens. 2014, 6(8), 6961-6987; doi:10.3390/rs6086961
Received: 30 May 2014; in revised form: 7 July 2014 / Accepted: 18 July 2014 / Published: 25 July 2014| PDF Full-text (11241 KB) | Supplementary Files
Article: TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 1: Line Segment Detection and Extraction
Remote Sens. 2014, 6(7), 5938-5958; doi:10.3390/rs6075938
Received: 22 April 2014; in revised form: 11 June 2014 / Accepted: 11 June 2014 / Published: 25 June 2014| PDF Full-text (1525 KB) | HTML Full-text | XML Full-text
Article: Comparing Two Photo-Reconstruction Methods to Produce High Density Point Clouds and DEMs in the Corral del Veleta Rock Glacier (Sierra Nevada, Spain)
Remote Sens. 2014, 6(6), 5407-5427; doi:10.3390/rs6065407
Received: 28 February 2014; in revised form: 30 May 2014 / Accepted: 3 June 2014 / Published: 11 June 2014| PDF Full-text (1958 KB) | HTML Full-text | XML Full-text
Article: Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil
Remote Sens. 2014, 6(1), 330-351; doi:10.3390/rs6010330
Received: 10 November 2013; in revised form: 12 December 2013 / Accepted: 18 December 2013 / Published: 27 December 2013| PDF Full-text (1419 KB) | HTML Full-text | XML Full-text
Article: Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes
Remote Sens. 2013, 5(12), 6838-6856; doi:10.3390/rs5126838
Received: 10 October 2013; in revised form: 1 December 2013 / Accepted: 3 December 2013 / Published: 9 December 2013| PDF Full-text (1040 KB) | HTML Full-text | XML Full-text
Article: Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China
Remote Sens. 2013, 5(11), 6138-6158; doi:10.3390/rs5116138
Received: 7 October 2013; in revised form: 6 November 2013 / Accepted: 13 November 2013 / Published: 21 November 2013| PDF Full-text (2744 KB) | HTML Full-text | XML Full-text
Article: GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru)
Remote Sens. 2013, 5(11), 5851-5870; doi:10.3390/rs5115851
Received: 19 August 2013; in revised form: 31 October 2013 / Accepted: 1 November 2013 / Published: 11 November 2013| PDF Full-text (7239 KB) | HTML Full-text | XML Full-text
Last update: 3 March 2014