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Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
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Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Jozef Vybostok and Martin Mokros
In forestry research, for forest inventories or other applications which require accurate 3D information on the forest structure, a Terrestrial Laser Scanner (TLS) is an efficient tool for vegetation structure estimation. Light Detection and Ranging (LiD...
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Robert ?upan, Adam Vinkovic, Rexhep Nikçi and Bernarda Pinjatela
This research is primarily focused on utilizing available airborne LiDAR data and spatial data from the OpenStreetMap (OSM) database to generate 3D models of buildings for a large-scale urban area. The city center of Ljubljana, Slovenia, was selected for...
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Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan ?ukovskis and Elzbieta Wójcik-Gront
The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking compensation from insurance companies or other institutions. One of the game species that frequently cause crop damage in Europe is the wild boar, which often feed...
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Felipe Orellana, Peppe J. V. D?Aranno, Silvia Scifoni and Maria Marsella
Monitoring structural stability in urban areas and infrastructure networks is emerging as one of the dominant socio-economic issues for population security. The problem is accentuated by the age of the infrastructure because of increasing risks due to ma...
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Haotian You, Xu Tang, Qixu You, Yao Liu, Jianjun Chen and Feng Wang
Light Detection and Ranging (LiDAR) points and high-resolution RGB image-derived points have been successfully used to extract tree structural parameters. However, the differences in extracting individual tree structural parameters among different tree s...
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Taleatha Pell, Joan Y. Q. Li and Karen E. Joyce
With the increased availability of low-cost, off-the-shelf drone platforms, drone data become easy to capture and are now a key component of environmental assessments and monitoring. Once the data are collected, there are many structure-from-motion (SfM)...
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Ali Alakbar Karaki, Marco Bibuli, Massimo Caccia, Ilaria Ferrando, Sara Gagliolo, Angelo Odetti and Domenico Sguerso
In this paper, the state-of-the-art concerning new methodologies for surveying in coastal areas in order to obtain an efficient quantification of submerged and emerged environments is described and evaluated. This work integrates an interdisciplinary app...
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Chaoxiang Chen, Shiping Ye, Zhican Bai, Juan Wang, Alexander Nedzved and Sergey Ablameyko
With the acceleration of urbanization, climate problems affecting human health and safe operation of cities have intensified, such as heat island effect, haze, and acid rain. Using high-resolution remote sensing mapping image data to design scientific an...
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Suting Chen, Chaoqun Wu, Mithun Mukherjee and Yujie Zheng
Semantic segmentation of remote sensing images (RSI) plays a significant role in urban management and land cover classification. Due to the richer spatial information in the RSI, existing convolutional neural network (CNN)-based methods cannot segment im...
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