Long-term forest mapping from classification of MODIS time series: best practices

2019 ◽  
Vol 14 (02) ◽  
pp. 1
Author(s):  
Jean-Philippe Denux ◽  
Emmanuelle Cano ◽  
Laurence Hubert-Moy ◽  
Marie Parrens ◽  
Véronique Chéret
Keyword(s):  
Time Series ◽  
Best Practices ◽  
Forest Mapping

Long-term time series of ornithological data

2019 ◽  
pp. 37-43
Author(s):  
Anders Pape Møller ◽  
Wesley M. Hochachka
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Population Studies ◽  
Genetic Evolution ◽  
Multiple Data ◽  
Methodological Studies ◽  
Term Data ◽  
Bird Observation

There are numerous sources of data relevant for studies of the effects of climate change. Here we provide a classification of such data and their advantages and drawbacks. Long-term data can be classified into data from long-term population studies, nest record schemes, bird surveys, breeding and winter atlases, bird ringing information, bird ringing stations, bird observation depositories, and museum collections. Such data differ enormously in quality, but also in their usefulness. They range from long-term population studies of individually banded birds that can be used for genetic, evolution, and ecology studies to studies of presence/absence data. There are relatively few individual-based population studies while databases of records of individuals are much more abundant, albeit still useful for many purposes. Different databases also vary consistently in data quality, and there is scope for methodological studies and comparative analyses of multiple data bases.

MODERN PROBLEMATICS AND ANALYSIS OF EFFICIENCY OF APPLICATION OF DIFFERENT APPROACHES TO DESTRUCTION OF INFORMATION ON MAGNETIC MEDIA

2019 ◽  
Vol 2 (12) ◽  
pp. 154-164
Author(s):  
O. Semenenko ◽  
O. Vodchyts ◽  
V. Koverga ◽  
R. Lukash ◽  
O. Lutsenko
Keyword(s):  
Armed Forces ◽  
Information Storage ◽  
Storage Device ◽  
Magnetic Media ◽  
Long Term Storage ◽  
Physical Impact ◽  
And Storage ◽  
Term Storage

The introduction and active use of information transmission and storage systems in the Ministry of Defense (MoD) of Ukraine form the need to develop ways of guaranteed removal of data from media after their use or long-term storage. Such a task is an essential component of the functioning of any information security system. The article analyzes the problems of guaranteed destruction of information on magnetic media. An overview of approaches to the guaranteed destruction of information on magnetic media of different types is presented, and partial estimates of the effectiveness of their application are given by some generally accepted indicators of performance evaluation. The article also describes the classification of methods of destruction of information depending on the influence on its medium. The results of the analysis revealed the main problems of application of software methods and methods of demagnetization of the information carrier. The issue of guaranteed destruction of information from modern SSD devices, which are actively used in the formation of new systems of information accumulation and processing, became particularly relevant in the article. In today's conditions of development of the Armed Forces of Ukraine, methods of mechanical and thermal destruction are more commonly used today. In the medium term, the vector of the use of information elimination methods will change towards the methods of physical impact by the pulsed magnetic field and the software methods that allow to store the information storage device, but this today requires specialists to develop new ways of protecting information in order to avoid its leakage.

Formulating Industry-Academic Collaborations That Work: Best Practices to Ensure a Strong Relationship After the Agreements are Signed

2020 ◽  
Vol 21 (2) ◽  
pp. 169-177
Author(s):  
Michael B. Dilling ◽  
Anne C. DiSante ◽  
Ross Durland ◽  
Christine E. Flynn ◽  
Leonid Metelitsa ◽  
...  
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Product Development ◽  
Strong Relationship ◽  
Governance Structure ◽  
Collaborative Relationships ◽  
Skill Sets ◽  
Pragmatic Aspects

Collaborations between academia and industry are growing in scope, duration, and sophistication. The best collaborations recognize the unique strengths and skill sets of both parties and are structured to leverage what each party does best. In many cases, these collaborations develop into long-term relationships, and it is important to develop the systems and structures needed to support these relationships to ensure that they meet the needs of both sides. Successful collaborations require the formulation of a governance structure to facilitate communication, decision-making, assessment of progress, and the inevitable changes of direction that accompany product development. This panel explored the pragmatic aspects of successfully structuring collaborations and managing the relationships after the deal is done. Several dominant themes associated with successful collaborative relationships emerged from the discussion, and these will be explored in this article.

Influence of internal and external risks on sustainability of financial system of Аltai krai

2018 ◽  
Vol 35 (4) ◽  
pp. 133-136
Author(s):  
R. N. Ibragimov
Keyword(s):  
Sustainable Development ◽  
Financial Stability ◽  
Management Strategy ◽  
Financial System ◽  
Risk Management Strategy ◽  
The Sustainable Development ◽  
The Stability ◽  
The Impact

The article examines the impact of internal and external risks on the stability of the financial system of the Altai Territory. Classification of internal and external risks of decline, affecting the sustainable development of the financial system, is presented. A risk management strategy is proposed that will allow monitoring of risks, thereby these measures will help reduce the loss of financial stability and ensure the long-term development of the economy of the region.

scholarly journals Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks

2016 ◽  
Vol 9 (1) ◽  
pp. 53-62 ◽  
Author(s):  
R. D. García ◽  
O. E. García ◽  
E. Cuevas ◽  
V. E. Cachorro ◽  
A. Barreto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Artificial Neural Networks ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Mineral Dust ◽  
Dust Particles ◽  
Filter Radiometer ◽  
Artificial Neural

Abstract. This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a Precision Filter Radiometer (PFR) between 2003 and 2013. The analysis is limited to summer months (July–August–September), when the largest aerosol load is observed at IZO (Saharan mineral dust particles). The ANN AOD time series has been comprehensively validated against coincident AOD measurements performed with a solar spectrometer Mark-I (1984–2009) and AERONET (AErosol RObotic NETwork) CIMEL photometers (2004–2009) at IZO, obtaining a rather good agreement on a daily basis: Pearson coefficient, R, of 0.97 between AERONET and ANN AOD, and 0.93 between Mark-I and ANN AOD estimates. In addition, we have analysed the long-term consistency between ANN AOD time series and long-term meteorological records identifying Saharan mineral dust events at IZO (synoptical observations and local wind records). Both analyses provide consistent results, with correlations  >  85 %. Therefore, we can conclude that the reconstructed AOD time series captures well the AOD variations and dust-laden Saharan air mass outbreaks on short-term and long-term timescales and, thus, it is suitable to be used in climate analysis.

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