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Various Series Related to the Polylogarithmic Function
(MDPI, 2022)
We derive some series related to the polylogarithmic function, and we also give a new proof
to the existing series. Our approach is based on using the summation and integral representation
methods. We obtain various ...
Landslide susceptibility assessment using SVM machine learning algorithm
(Engineering Geology, 2011)
This paper introduces the current machine learning approach to solving spatial modeling problems in the domain of landslide susceptibility assessment. The latter is introduced as a classification problem, having multiple ...
Reviewing the potential of Sentinel-2 in assessing the drought
(MDPI, 2021)
This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing drought. Research findings, including the IPCC reports, highlighted the increasing trend in drought over the decades and the need for ...
A simplified procedure of metrological testing of the terrestrial laser scanners
(Elsevier B.V., 2014)
This paper presents a simplified test procedure of the terrestrial laser scanners (TLS) accuracy investigation by the general criteria of the ISO17123 standard. The proposed procedure covers investigation, analysis and ...
Spatio-Temporal Classification Framework for Mapping Woody Vegetation from Multi-Temporal Sentinel-2 Imagery
(MDPI, 2020)
The inventory of woody vegetation is of great importance for good forest management. Advancements of remote sensing techniques have provided excellent tools for such purposes, reducing the required amount of time and labor, ...
Random Forest Spatial Interpolation
(MDPI, 2020)
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external ...
Design and optimisation of laser scanning for tunnels geometry inspection
(Tunnelling and Underground Space Technology, 2013)
The use of terrestrial laser scanning technology in engineering surveys is gaining an increasing interest due to the very high spatial density of the acquired data. Recent improvements regarding the speed, accuracy, software ...
Modeling Urban Land Use Changes Using Support Vector Machines
(Blackwell Publishing Ltd, 2016)
Support Vector Machines (SVM) is a machine learning (ML) algorithm commonly applied to the classification of remotely sensing data and more recently for modeling land use changes. However, in most geospatial applications ...
Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation
(Elsevier, 2015)
This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the ...
Corrigendum to ‘‘Design and optimization of laser scanning for tunnelsgeometry inspection’’ [Tunnell. Underground Space Technol. 37 (2013)199–206]
(Tunnelling and Underground Space Technology, 2013)
The authors regret that the published version of the abovearticle failed to credit the other authors. The authors regret thatthe printed version of the above article contained this error. The authors would like to apologise ...