Abstract
Abstract. Light Detection and Ranging (LiDAR) technology is playing a major role in different applications. Indeed, the possibility of exploiting either 3D geometric features and radiometric information makes LiDAR suitable for a wide range of practical domains. LiDAR proved also being quite flexible in terms of platforms where it can be implemented for the acquisition, spanning from airborne sensors up to car-based and hand-held instruments. Due to the rapid expansion of research concerning LiDAR intensity, the ISPRS WG III/5 launched in 2017 an initiative aimed at providing free access to LiDAR data acquired by modern multispectral ALS sensors as well as MLS data. The two datasets, MLS Data Set 1 – (“Sun Prairie”), and Multispectral LiDAR Data Set 2 – (“Tobermory”), were provided by Teledyne Optech Company (Canada) and were made freely available to researchers upon request. This paper is presenting the first results of this initiative in terms of applications, application domains and topics tackled by applicants. The relevance of this data set is also evaluated through a bibliometric analysis considering both Scopus and Web of Science indexed databases to analyse the main directions where the scientific research, the technical development and the application interest is moving to.
Highlights
Light Detection and Ranging (LiDAR) technology nowadays plays a relevant role into different application fields ranging from Cultural Heritage and archaeology (Shanoer and Abed, 2018), forestry and vegetation (You et al, 2017), geosciences (Jaboyedoff et al, 2012), topographic mapping (Shan and Toth, 2009), and infrastructures and asset management (Neupane and Gharaibeh, 2019; Jung et al, 2019)
Due to the still limited number of scholars who have already completed their research on the basis of our Data Sets, we investigated those research fields where LiDAR intensity and multispectral LiDAR have been applied
One of the concerns is addressing the proper way of understanding the management of the multispectral LiDAR data, that currently are delivered in three separate files and three separate point clouds
Summary
Light Detection and Ranging (LiDAR) technology nowadays plays a relevant role into different application fields ranging from Cultural Heritage and archaeology (Shanoer and Abed, 2018), forestry and vegetation (You et al, 2017), geosciences (Jaboyedoff et al, 2012), topographic mapping (Shan and Toth, 2009), and infrastructures and asset management (Neupane and Gharaibeh, 2019; Jung et al, 2019). As reported in Scaioni et al (2018), in the last decade several researchers investigated the exploitation of LiDAR intensity in many applications, often in conjunction with geometrical features. Object extraction using LiDAR data, acquired from different laser scanning platforms (airborne – ALS –, terrestrial – TLS –, mobile – MLS –, Unmanned Aerial Sistems/Vehicles – UAS/UAV, portable and hand-held) in urban environment and forest application is an active research field. Several scholars are using either new tools for data extraction (i.e., Artificial Intelligence – AI), new sensors characterized by both higher spatial and spectral resolution and new types of information
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