Introducing HYDRA: A Multispectral Data Analysis Toolkit

The paper considers the use of multispectral data from the Landsat-8, Sentinel-2, Aqua and Terra satellites for monitoring pollution in the areas of open-pit coal mines in the Iskitim district of the Novosibirsk region for the period 2013–2020. The change in the values of the reflection coefficient (RC) from the surface and water bodies, the snow index NDSI during the snowmelt period, the change of NDVI in the summer, in the area of Kolyvansky and Vostochny coal mines and in the area of the Linevo village are considered. The dynamics of the aerosol optical thickness (AOT) changes, CO and CH4 concentrations in the atmosphere of the Iskitim district using the Giovanni data analysis and visualization system are shown.

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Multispectral Data Analysis for Semantic Assessment—A SNAP Framework for Sentinel-2 Use Case Scenarios

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2020.3013091 ◽

2020 ◽

Vol 13 ◽

pp. 4429-4442

Author(s):

Alexandru Cosmin Grivei ◽

Iulia Coca Neagoe ◽

Florin Andrei Georgescu ◽

Andreea Griparis ◽

Corina Vaduva ◽

...

Keyword(s):

Data Analysis ◽

Use Case ◽

Multispectral Data ◽

Sentinel 2

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Combined automated searching for coassociative relations as a preprocessing step in exploratory multispectral data analysis

System Analysis in Science and Education ◽

10.37005/2071-9612-2020-4-20-24 ◽

2020 ◽

pp. 20-24

Author(s):

D. Vakulenko ◽

A. Kravets

Keyword(s):

Neural Network ◽

Machine Learning ◽

Cluster Analysis ◽

Data Analysis ◽

Image Classification ◽

Classification Model ◽

Multispectral Imagery ◽

Multispectral Data ◽

Machine Learning Methods ◽

The Neural Network

In current research a combination of several techniques–group of cluster analysis approaches and machine learning methods have been used to investigate the satellite multispectral imagery of cropland.The primary work with data makes emphasis on clustering by agroup of algorithms. The method proves to make the neural network detecting of pixels with similar signatures in much more accurate way and allows to interpret crop growth processescorrectly.The technique appears useful in order to form a representativetraining set for powerful neural image classification model to provide the accuracy of revealing structural dependencies and carrying them over on new data.The theoreticalpart of research is given to plan further experimental researchwork.

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Microchemical imaging in biomedical research

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130225 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1118-1119

Author(s):

P. Ingram

Keyword(s):

Data Analysis ◽

Electron Probe ◽

The Other ◽

X Ray ◽

Cell Element ◽

Physiological Information ◽

Functional States ◽

Elemental Maps ◽

Electron Energy Loss ◽

Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

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Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

Perspectives of the ASHA Special Interest Groups ◽

10.1044/2019_persp-19-00041 ◽

2020 ◽

Vol 5 (1) ◽

pp. 290-303

Author(s):

P. Charlie Buckley ◽

Kimberly A. Murza ◽

Tami Cassel

Keyword(s):

Data Analysis ◽

Professional Learning ◽

Social Communication ◽

Special Educators ◽

Service Providers ◽

Integrative Approach ◽

Theory Approach ◽

Learning Program ◽

Speech Language Pathologists ◽

Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

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Communicative Performance of Adolescents with Severe Speech Impairment

Journal of Speech and Hearing Disorders ◽

10.1044/jshd.5403.403 ◽

1989 ◽

Vol 54 (3) ◽

pp. 403-421 ◽

Cited By ~ 7

Author(s):

Beth M. Dalton ◽

Jan L. Bedrosian

Keyword(s):

Data Analysis ◽

Peer Interactions ◽

Consistent Pattern ◽

Clinical Implications ◽

Speech Impairment ◽

Communication Mode ◽

Mode Function ◽

Communicative Performance ◽

Therapy Room ◽

Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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