Naslov
Operationalization of Remote Sensing Solutions for Sustainable Forest Management

Autori
Mozgeris, Gintautas ; Balenović, Ivan

Izvornik
Remote Sensing (2072-4292) 13 (2021), 4; 572, 5

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, uvodnik, znanstveni

Ključne riječi
Earth observation ; forestry ; characterization of forests ; operationalization of remote sensing algorithms ; knowledge transfer

Sažetak
The pre-requisite for sustainable management of natural resources is the availability of timely, cost-effective, and comprehensive information on the status and development trends of the management object. An essential source of such information has always been the application of remote sensing. Data and algorithms to use remote sensing in forestry are discussed in numerous texts. Nevertheless, the level of operationalization of research results needs to be either improved or further tested. On the other hand, remote sensing researchers are often aimed at purely academic objectives, thus lacking support and guidance from practical forestry, which does influence the quality of scientific exercises. Thus, science-driven solutions for knowledge transfer between researchers and stakeholders/policy makers/end-users are becoming increasingly important. This Special Issue aimed to compile research papers dealing both with methodologies of remote sensing and implementation of research results to facilitate sustainable forest management. The focus was on the development of algorithms for the characterization of forest and forestry ; however, with the emphasis also on the operationalization of remote sensing for natural resource management through the integration of scientific research and its practical utilization. Even though all authors identified further research needs, some of their developments had already been implemented or were ready for operational use. Altogether, there were 13 papers published in this Special Issue. The studies were implemented in three continents, using multiple remote sensing platforms, ranging from mobile laser scanning (MLS) devices or unmanned aerial vehicle (UAV) and airborne laser scanning (ALS) systems up to various satellite systems.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija, Šumarstvo

POVEZANOST RADA