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A MEASUREMENT MODEL FOR INVESTIGATING DIGITAL NATIVES AND THEIR ORGANISATIONAL BEHAVIOUR
Curve-Number/Green-Ampt mixed procedure for streamflow predictions in ungauged basins: parameter sensitivity analysis
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Airborne laser scanning of forest resources: an overview of research in Italy as a commentary case study
L'articolo è disponibile sul sito dell'editore http://www.journals.elsevier.com/international-journal-of-applied-earth-observation-and-geoinformation/This article reviews the recent literature concerning airborne laser scanning for forestry purposes in Italy, and presents the current methodologies used to extract forest characteristics from discrete return
ALS (Airborne Laser Scanning) data. Increasing interest in ALS data is currently being shown, especially for remote sensingbased forest inventories in Italy; the driving force for this interest is the possibility
of reducing costs and providing more accurate and efficient estimation of forest characteristics. This
review covers a period of approximately ten years, from the first application of laser scanning for forestry
purposes in 2003 to the present day, and shows that there are numerous ongoing research activities which use these technologies for the assessment of forest attributes (e.g., number of trees, mean tree height, stem volume) and ecological issues (e.g., gap identification, fuel model detection). The basic approaches – such
as single tree detection and areabased
modeling – have been widely examined and commented in order to explore the trend of methods in these technologies, including their applicability and performance.
Finally this paper outlines and comments some of the common problems encountered in operational use of laser scanning in Italy, offering potentially useful guidelines and solutions for other countries with similar conditions, under a rather variable environmental framework comprising Alpine, temperate and Mediterranean forest ecosystem
A literature overview of micrometeorological CH4 and N2O flux measurements in terrestrial ecosystems
Design of a holonic remote monitoring and diagnosis system for fleet management
The main challenges in sensor network based monitoring systems are the control and management of complex modules and elements interacting among them and with the environment. This work presents and validates a design model for monitoring and diagnosis systems based on sensor networks exploiting potentialities of the holonic approach. The holonic structure is designed with the final goal to guarantee the performances and the functionalities required by the application scenario of road and work vehicles rental companies. Actually they are interacting and geographically distributed systems. The capabilities of cooperation among modules, hierarchical organization, modularity and reliability of holonic design are exploited. Diagnosis of monitored events is coded and validated through an ad hoc ontology. The design does not give assumption on the physical architecture of holons but only on their capacities/properties, therefore it can be reused in different physical and hardware resources. The case studies confirm the capability of our design to be quickly transferred to programmers and coded in firmware and software. © 2013 Elsevier Ltd.All rights reserved