2015
DOI: 10.1007/978-3-319-16528-8_2
|View full text |Cite
|
Sign up to set email alerts
|

Low-Cost Radars Integrated into a Landslide Early Warning System

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
6
2
2

Relationship

3
7

Authors

Journals

citations
Cited by 13 publications
(7 citation statements)
references
References 15 publications
0
7
0
Order By: Relevance
“…x * = [x * , y * , z * ] the vector of receiver position, without taking effect of environmental noise, calculated using the vector d = [d1 * , d2 * , d3 * ] as theoretically defined in (8), (9) and (10), one can write…”
Section: The Trilateration Algorithmmentioning
confidence: 99%
“…x * = [x * , y * , z * ] the vector of receiver position, without taking effect of environmental noise, calculated using the vector d = [d1 * , d2 * , d3 * ] as theoretically defined in (8), (9) and (10), one can write…”
Section: The Trilateration Algorithmmentioning
confidence: 99%
“…In recent years, several VLC prototypes and different modulation techniques have been proposed [5], [6] . In order to reduce hardware costs, an interesting approach is the software defined approach, widely used in other contexts [7], [8]. Since most of signal operations are performed via software (modulation, demodulation, filtering, etc.…”
Section: System Descriptionmentioning
confidence: 99%
“…In this context, risk assessment is extremely tricky and essential because it provides useful information for developing loss reduction strategies of which mitigation is a key component [3]. In today's debate on general civil protection, we are dealing with a program concerning Sendai Framework for Disaster Risk Reduction 2015-2030 that requires the highest level of discipline in four specific actions: (1) understanding disaster risk; (2) strengthening disaster risk governance to manage disaster risk; (3) investing in disaster risk reduction for resilience; and (4) enhancing disaster preparedness for effective response [4,5]. To improve the landslide risk reduction and to set up early warning systems, it is essential to know better the physical and mechanical processes underlying trigger conditions and, depending on specific hazard scenario, their possible evolutionary phases.…”
Section: Introductionmentioning
confidence: 99%