scholarly journals Sensitivity-local index to control chaoticity or gradient globally

2021 ◽  
Author(s):  
Katsunari Shibata ◽  
Takuya Ejima ◽  
Yuki Tokumaru ◽  
Toshitaka Matsuki
Keyword(s):  
Local Index

scholarly journals Light Confinement by Local Index Tailoring in Inhomogeneous Dielectrics

2021 ◽  
pp. 2100115
Author(s):  
I. Krešić ◽  
K. G. Makris ◽  
S. Rotter
Keyword(s):  
Local Index ◽  
Light Confinement

A local index theorem for non K�hler manifolds

1989 ◽  
Vol 284 (4) ◽  
pp. 681-699 ◽  
Author(s):  
Jean-Michel Bismut
Keyword(s):  
Index Theorem ◽  
Local Index ◽  
Local Index Theorem

An Ontology Based Local Index in P2P Networks

2006 ◽  
Author(s):  
H. Rostami ◽  
J. Habibi ◽  
H. Abolhassani ◽  
M. Amirkhani ◽  
A. Rahnama
Keyword(s):  
P2p Networks ◽  
Local Index

scholarly journals Local index theorem for families.

1988 ◽  
Vol 35 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Harold Donnelly
Keyword(s):  
Index Theorem ◽  
Local Index ◽  
Local Index Theorem

A new local index for predicting local thermal response of individual body segments

2018 ◽  
Vol 78 ◽  
pp. 161-173 ◽  
Author(s):  
Negin Moallemi Khiavi ◽  
Mehdi Maerefat ◽  
Seyed Alireza Zolfaghari
Keyword(s):  
Thermal Response ◽  
Local Index ◽  
Body Segments ◽  
Individual Body

scholarly journals On the Use of Satellite Sentinel 2 Data for Automatic Mapping of Burnt Areas and Burn Severity

2018 ◽  
Vol 10 (11) ◽  
pp. 3889 ◽  
Author(s):  
Rosa Lasaponara ◽  
Biagio Tucci ◽  
Luciana Ghermandi
Keyword(s):  
Model Development ◽  
Fire Effects ◽  
Mitigation Strategies ◽  
Decision Makers ◽  
Burn Severity ◽  
Burnt Area ◽  
Local Index ◽  
Information Translation ◽  
Burnt Areas ◽  
Sentinel 2

In this paper, we present and discuss the preliminary tools we devised for the automatic recognition of burnt areas and burn severity developed in the framework of the EU-funded SERV_FORFIRE project. The project is focused on the set up of operational services for fire monitoring and mitigation specifically devised for decision-makers and planning authorities. The main objectives of SERV_FORFIRE are: (i) to create a bridge between observations, model development, operational products, information translation and user uptake; and (ii) to contribute to creating an international collaborative community made up of researchers and decision-makers and planning authorities. For the purpose of this study, investigations into a fire burnt area were conducted in the south of Italy from a fire that occurred on 10 August 2017, affecting both the protected natural site of Pignola (Potenza, South of Italy) and agricultural lands. Sentinel 2 data were processed to identify and map different burnt areas and burn severity levels. Local Index for Statistical Analyses LISA were used to overcome the limits of fixed threshold values and to devise an automatic approach that is easier to re-apply to diverse ecosystems and geographic regions. The validation was assessed using 15 random plots selected from in situ analyses performed extensively in the investigated burnt area. The field survey showed a success rate of around 95%, whereas the commission and omission errors were around 3% of and 2%, respectively. Overall, our findings indicate that the use of Sentinel 2 data allows the development of standardized burn severity maps to evaluate fire effects and address post-fire management activities that support planning, decision-making, and mitigation strategies.

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