SATAID is a display program that enables visualization of meteorological information in multiple dimensions. It helps forecasters analyze and monitor weather parameters and phenomena. SATAID allows users to control and display satellite images and numerical weather prediction data. It provides functions for customizing displays, evaluating data through graphs and histograms, and creating drawings on images. SATAID installation and use of the WIS Downloader are required to obtain meteorological data for visualization and analysis in the program.
To download, head to - http://solarreference.com/solar-resource-assessment-how-to-get-bankable-meteo-data/
This presentation from DLR (German Aerospace Center) explains:
1. Solar radiation data characteristics
2. How radiation data is gathered from ground measurements and derived from satellite data
3. Comparison of the two, and some important factors to be weighed in when deciding what to use
More quality resources at http://solarreference.com
MediaEval 2016 - Placing Images with Refined Language Models and Similarity S...multimediaeval
Presenter: Giorgos Kordopatis-Zilos
Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Giorgos Kordopatis-Zilos, Adrian Popescu, Symeon Papadopoulos, Yiannis Kompatsiaris
Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_13.pdf
Video: https://youtu.be/WR4I3CWjcR4
Abstract: We describe the participation of the CERTH/CEA-LIST team in the MediaEval 2016 Placing Task. We submitted five runs to the estimation-based sub-task: one based only on text by employing a Language Model-based approach with several refinements, one based on visual content, using geospatial clustering over the most visually similar images, and three based on a hybrid scheme exploiting both visual and textual cues from the multimedia items, trained on datasets of different size and origin. The best results were obtained by a hybrid approach trained with external training data and using two publicly available gazetteers.
Feature Extraction from the Satellite Image Gray Color and Knowledge Discove...IJMER
Satellite take images of the Earth in selected spectral bands that are in both the visible and
the infrared portions of the electromagnetic spectrum. Many Satellites provide three types of Satellite
Images. These Images are Visible Satellite Image, Infrared Satellite Image, and Water Vapor Satellite
Image. These images are important for different reasons, and, in some cases, all three are needed to
accurately interpret atmospheric conditions. These Satellite images contain different types of cloud. This
paper shows cloud feature extraction using Histogram. A table that shows cloud existence in different
image is created, called Association table in which Y represents cloud is exist and N represent not exist.
Association rule mining is applied to this table to make relations between different clouds and discover
the knowledge about cloud existence.
This content presents a guide to access satellite (Landsat-8) and microsatellite (Diwata), and how to use gdal and AROSIC (Python-based open-source software) for co-registration.
The ENVI Pocket Guide Volume 2 | INTERMEDIATE expounds a step further on intermediate procedures using ENVI, IDL and ENVI LiDAR, assuming you have already mastered the basics.
Volume 2 builds on the basics by providing succinct steps on how to perform the following tasks using ENVI and IDL:
1. Add Grid reference & count features
2. Perform Band Math
3. Layer Stack images
4. Exploit Shortwave Infrared (SWIR) bands
5. Perform Spectral Analysis in general
6. Perform Image Calibration/ Atmospheric Correction
7. Extract features from LiDAR
8. Batch Processing using IDL
References1. HCS 2010 online manuals.2. Data Data provi.docxdebishakespeare
References:
1. HCS 2010 online manuals.
2. Data: Data provided for Lab 6
3. Software: HCS 2010
Objectives: The objective of this exercise is to become familiar with operational-level signal timing software. The software you will use is the implementation of the Highway Capacity Manual 2010. General notes regarding this lab:
· The intersection you will be using for analysis is Lake Mary Rd. and High Country Trail. Take a look at this intersection on Google Maps. Draw a rough sketch of the intersection, showing lane usage. Be sure to include a North Arrow, as well as movements (with numbers….use movement 2 for Northbound through). (2)
· Operational data for this intersection is provided in the file ‘Lab6data.xlsx’ open this file.
· The timing data given is for pretimed 2-phase operation. What is the cycle length given? (1)
Background: The HCS2010 software does not exactly duplicate the HCM 2010 methods but it is reasonably close. One difference is in the optimization algorithms, which are specific to the software and are not specified in the HCM 2010.
The software will not design your timing plan for you (It can, but we will not be using that option). It is used as a calculation tool to help you determine which combination of green interval lengths and cycle length provide the best LOS (or lowest delay) with safe operation.
A proper phase plan is a critical aspect of signal timing design. Once the phase plan has been developed, most of the signal timing can be systematically treated in a deterministic fashion. There are several important considerations you need to keep in mind when establishing a phase plan for your intersection:
1. Safety: Phasing can be used to minimize accident risks by separating the competing movement. A traffic signal always eliminates the basic through crossing conflicts present at the intersections.
2. Lost time per cycle: In addition, left-turn protection can also be used to eliminate the conflicts between left-turning movements and the opposing through movement. However, additional phasing can also lead to more lost time per cycle and therefore additional delay.
3. Sat flow rates for LTs: While increasing the number of phases also increases the total lost time in the cycle, a benefit is that this also increases the affected left-turn saturation flow rates. This in turn can lead to less delay.
Lab Steps:
1. Open the HCS2010 software on a PC in Rm. 114 or 113. Open the traffic signals module.
2. When you start a new traffic signal file, a dialog box will appear asking you to verify settings of the intersection. The only setting you need to adjust is that of the forward direction, which is used for arterial analysis. Even though we will only be working with one intersection, you should still choose NB for this. All other settings can be left at their default.
3. You will be entering data in the following sections:
a. Primary Input Data (All Sections), shown in Figure 1
b. Detailed I ...
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
It is required that after the course study
you should:
Have a general concept about DT
Master Panorama DT operation
Master Panorama data analysis
Chapter 1 DT Introduction
Chapter 2 Panorama DT Introduction
Chapter 3 Panorama DT Data Analysis
Collect System Air interface data
Analyze Air interface data
Assist Export Analysis report
Qualcom CAIT
CDMA Air Interface Tester
WILL TECH DM2K/Pecker
Pecker Navigator, Pecker Analyzer
Panorama
Qualcom CAIT
CDMA Air Interface Tester
WILL TECH DM2K/Pecker
Pecker Navigator, Pecker Analyzer
Panorama
To download, head to - http://solarreference.com/solar-resource-assessment-how-to-get-bankable-meteo-data/
This presentation from DLR (German Aerospace Center) explains:
1. Solar radiation data characteristics
2. How radiation data is gathered from ground measurements and derived from satellite data
3. Comparison of the two, and some important factors to be weighed in when deciding what to use
More quality resources at http://solarreference.com
MediaEval 2016 - Placing Images with Refined Language Models and Similarity S...multimediaeval
Presenter: Giorgos Kordopatis-Zilos
Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Giorgos Kordopatis-Zilos, Adrian Popescu, Symeon Papadopoulos, Yiannis Kompatsiaris
Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_13.pdf
Video: https://youtu.be/WR4I3CWjcR4
Abstract: We describe the participation of the CERTH/CEA-LIST team in the MediaEval 2016 Placing Task. We submitted five runs to the estimation-based sub-task: one based only on text by employing a Language Model-based approach with several refinements, one based on visual content, using geospatial clustering over the most visually similar images, and three based on a hybrid scheme exploiting both visual and textual cues from the multimedia items, trained on datasets of different size and origin. The best results were obtained by a hybrid approach trained with external training data and using two publicly available gazetteers.
Feature Extraction from the Satellite Image Gray Color and Knowledge Discove...IJMER
Satellite take images of the Earth in selected spectral bands that are in both the visible and
the infrared portions of the electromagnetic spectrum. Many Satellites provide three types of Satellite
Images. These Images are Visible Satellite Image, Infrared Satellite Image, and Water Vapor Satellite
Image. These images are important for different reasons, and, in some cases, all three are needed to
accurately interpret atmospheric conditions. These Satellite images contain different types of cloud. This
paper shows cloud feature extraction using Histogram. A table that shows cloud existence in different
image is created, called Association table in which Y represents cloud is exist and N represent not exist.
Association rule mining is applied to this table to make relations between different clouds and discover
the knowledge about cloud existence.
This content presents a guide to access satellite (Landsat-8) and microsatellite (Diwata), and how to use gdal and AROSIC (Python-based open-source software) for co-registration.
The ENVI Pocket Guide Volume 2 | INTERMEDIATE expounds a step further on intermediate procedures using ENVI, IDL and ENVI LiDAR, assuming you have already mastered the basics.
Volume 2 builds on the basics by providing succinct steps on how to perform the following tasks using ENVI and IDL:
1. Add Grid reference & count features
2. Perform Band Math
3. Layer Stack images
4. Exploit Shortwave Infrared (SWIR) bands
5. Perform Spectral Analysis in general
6. Perform Image Calibration/ Atmospheric Correction
7. Extract features from LiDAR
8. Batch Processing using IDL
References1. HCS 2010 online manuals.2. Data Data provi.docxdebishakespeare
References:
1. HCS 2010 online manuals.
2. Data: Data provided for Lab 6
3. Software: HCS 2010
Objectives: The objective of this exercise is to become familiar with operational-level signal timing software. The software you will use is the implementation of the Highway Capacity Manual 2010. General notes regarding this lab:
· The intersection you will be using for analysis is Lake Mary Rd. and High Country Trail. Take a look at this intersection on Google Maps. Draw a rough sketch of the intersection, showing lane usage. Be sure to include a North Arrow, as well as movements (with numbers….use movement 2 for Northbound through). (2)
· Operational data for this intersection is provided in the file ‘Lab6data.xlsx’ open this file.
· The timing data given is for pretimed 2-phase operation. What is the cycle length given? (1)
Background: The HCS2010 software does not exactly duplicate the HCM 2010 methods but it is reasonably close. One difference is in the optimization algorithms, which are specific to the software and are not specified in the HCM 2010.
The software will not design your timing plan for you (It can, but we will not be using that option). It is used as a calculation tool to help you determine which combination of green interval lengths and cycle length provide the best LOS (or lowest delay) with safe operation.
A proper phase plan is a critical aspect of signal timing design. Once the phase plan has been developed, most of the signal timing can be systematically treated in a deterministic fashion. There are several important considerations you need to keep in mind when establishing a phase plan for your intersection:
1. Safety: Phasing can be used to minimize accident risks by separating the competing movement. A traffic signal always eliminates the basic through crossing conflicts present at the intersections.
2. Lost time per cycle: In addition, left-turn protection can also be used to eliminate the conflicts between left-turning movements and the opposing through movement. However, additional phasing can also lead to more lost time per cycle and therefore additional delay.
3. Sat flow rates for LTs: While increasing the number of phases also increases the total lost time in the cycle, a benefit is that this also increases the affected left-turn saturation flow rates. This in turn can lead to less delay.
Lab Steps:
1. Open the HCS2010 software on a PC in Rm. 114 or 113. Open the traffic signals module.
2. When you start a new traffic signal file, a dialog box will appear asking you to verify settings of the intersection. The only setting you need to adjust is that of the forward direction, which is used for arterial analysis. Even though we will only be working with one intersection, you should still choose NB for this. All other settings can be left at their default.
3. You will be entering data in the following sections:
a. Primary Input Data (All Sections), shown in Figure 1
b. Detailed I ...
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
It is required that after the course study
you should:
Have a general concept about DT
Master Panorama DT operation
Master Panorama data analysis
Chapter 1 DT Introduction
Chapter 2 Panorama DT Introduction
Chapter 3 Panorama DT Data Analysis
Collect System Air interface data
Analyze Air interface data
Assist Export Analysis report
Qualcom CAIT
CDMA Air Interface Tester
WILL TECH DM2K/Pecker
Pecker Navigator, Pecker Analyzer
Panorama
Qualcom CAIT
CDMA Air Interface Tester
WILL TECH DM2K/Pecker
Pecker Navigator, Pecker Analyzer
Panorama
MIMUscope is a PC based tool for oblu's data acquisition, analysis, realtime viewing, logging etc. It is also used for modify some of the settings of oblu.
MIMUscope is coded in Python which is freely available for installation.
Oblu is an opensource development board for wearable motion sensing. It is based on opensource OpenShoe platform.
Data Processing Using DubaiSat Satellite Imagery for Disaster Monitoring (Cas...NopphawanTamkuan
This content shows the specification of DubaiSat (UAE satellite), information of Hokkaido earthquake, data processing, pre-processing, pan-sharpening, Natural color composite, false color composite, NDVI calculation, image classification by clustering for the damaged area and landslide detection.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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Paper: https://eprint.iacr.org/2023/1886
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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2. What is SATAID?
Japan Meteorological Agency 2
Display customization
With NWP data
With observation data
SATAID (SATellite Animation and Interactive Diagnosis) is a sophisticated display program that enables
visualization of meteorological information in multiple spatial and temporal dimensions.
This helps forecasters to continually analyze and monitor weather parameters and phenomena for
improved meteorological services.
Data overlay
Multiple
functions
Animation
3. Contents
Selecting Satellite Images
Controlling Animations
Zooming In/Out
Displaying RGB images
Displaying Coast/Grid Lines
2. Controlling and Displaying Satellite Images
Displaying NWP Data
Changing Elements
Changing Colors/Line Types/Hatch patterns
Displaying SST Data
3. Displaying NWP Data
Adjusting Gradation and Enhancing Color
5. Customizing Display
Changing Window Size
Creating Drawings
Outputting images
Saving New Settings
7. Other Functions
Displaying SYNOP/SHIP/TEMP Data
Displaying ASCAT Data
4. Displaying Observation Data
Installing SATAID
Downloading data Using WIS Downloader
1. Installing SATAID
3Japan Meteorological Agency
Brightness Evaluation
Movement (Vector) Evaluation
Time-series Evaluation
Cross-sectional Evaluation
Isolines (Contours)
Histograms
6. Data Evaluation
5. Installing SATAID
1. Download SATAID_data_download_tool.zip from the SATAID Service website
(ID/Password required).
http://www.wis-jma.go.jp/cms/sataid/app/download/
2. Decompress the zip file and copy/move the folder to the desired location.
Decompress Decompress Copy/Move
Zip file
Zip file
without extension
Main folder after
decompression
Folder for SATAID
5Japan Meteorological Agency
6. Downloading Data Using WIS Downloader
STEP 1: Make the WIS.ini file using MakeIniFile.hta.
STEP 2: Download the data and activate the SATAID
application using MakeIniFile.hta.
6Japan Meteorological Agency
Download and install SATAID
Start SATAID.
(Automatic activation)
If you already have the WIS.ini file, it can be made
readable by putting it in the wis2 folder before
STEP 1 below.
*The file should be backed up, as it will be overwritten
when a new initial file is made using MakaIniFile.hta.
7. Downloading Data Using WIS Downloader
1. Make an initial file for WIS Downloader.
* If you already have the WIS.ini file, it can be made readable by clicking Read button.
(1) Image Area Settings
Select Himawari image area
Select cutout area using Lat/Lon
(2) Other Settings
Time difference from UTC
Time of file deletion
WIS ID, Password
Proxy
“MakeIniFile.hta” file
7Japan Meteorological Agency
(1)
(2)
8. Downloading Data Using WIS Downloader
2. Download data from the WIS server.
* Close SATAID (GMSLPD) before using the SATAID Automatic Downloader.
(1)
(2)
(1) Select Data.
Himawari-8 bands
NWP data
Other observation data
(2) Set up details.
Animation duration
Interval between animation frames*
OS type (32/64bit)
Auto-update function
* Depending on PC memory capacity, a short animation may
need to be specified if 10-min intervals are selected.
8Japan Meteorological Agency
After the data download, SATAID will start automatically.
10. Selecting Satellite Images
Select data
10Japan Meteorological Agency
Band
Wavelength
[µm]
Himawari
Cloud*
Himawari
Cast*
WIS*
V1
Visible
0.46 ⃝ (1 km)
V2 0.51 ⃝ (1 km)
VS 0.64 ⃝ (0.5 km) ⃝ (1 km) ⃝ (4 km)
N1
Near
Infrared
0.86 ⃝ (1 km) ⃝ (4 km)
N2 1.6 ⃝ (2 km) ⃝ (4 km)
N3 2.3 ⃝ (2 km) ⃝ (4 km)
I4
Infrared
3.9 ⃝ (2 km) ⃝ (2 or 4 km) ⃝ (4 km)
WV 6.2 ⃝ (2 km) ⃝ (4 km) ⃝ (4 km)
W2 7.0 ⃝ (2 km) ⃝ (4 km)
W3 7.3 ⃝ (2 km) ⃝ (4 km)
MI 8.6 ⃝ (2 km) ⃝ (4 km)
O3 9.6 ⃝ (2 km) ⃝ (4 km)
IR 10.4 ⃝ (2 km) ⃝ (4 km) ⃝ (4 km)
L2 11.2 ⃝ (2 km) ⃝ (4 km)
I2 12.3 ⃝ (2 km) ⃝ (4 km) ⃝ (4 km)
CO 13.3 ⃝ (2 km) ⃝ (4 km)
*(): spatial resolution
12. Controlling animation
12Japan Meteorological Agency
Start/Stop Animation.
Adjust animation speed.
Play in normal sequence.
Display next image.Control Panel
Spaceor
or
or
“ ” + or
: Specify current image as the first/last image of animation.
Tips
Ctrl
Display previous image.
Play in reverse sequence.
or
or
Drag and change duration of
animation (first/last image)
Drag to change animation
duration (first/last image).
↑or ↓
13. Zooming In/Out
13Japan Meteorological Agency
Click here.
Method 1
- Display enlarged area.
Click [Zoom] button and drag area.
- Return to whole image.
Click [Normal] button.
Areas can be digitally designated with longitude/latitude information.
+ + [Zoom]
Tip
Method 2
- Zoom in: + + Left-Click
- Zoom out: + + Right-ClickCtrl Shift
Ctrl Shift
Ctrl Shift
15. Displaying Coast/Grid Lines
Japan Meteorological Agency 15
Here
Select
latitude/longitude
intervals.
[Map element] can be selected from the
[Options] menu to add rivers/lakes/borders, etc.
Checkbox activation with [Ctrl] pressed: larger font for latitude/longitude figures
Checkbox activation with [Shift] pressed: with background color for latitude/longitude
figures
Checkbox activation with [Ctrl] + [Shift] pressed: larger font with background color
The colors of these lines can be changed using
[Line color] in the [Options] menu.
16. Changing Line Style
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Click Map element…
with Ctrl pressed.
Multi can be checked to
enable line color change.
Latitude and longitude character
size can be changed here.
Latitude/longitude background can be
toggled on and off here.
The line style can be set here.
The line width can be set here.
18. Japan Meteorological Agency 18
1. Check NWP
to display a pop-up
window
Available NWP data
2. Select the desired elements
3. Click Exec to display
Displaying NWP data
Shrink/extend window
19. Changing Elements
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1. Click the upper-left corner of the
window to display a pop-up window.
2. Elements can be changed on the panel.
• When [Data file] is clicked, a CSV file of selected NWP elements is output.
• When [Last init.] is NOT selected, the earliest initial NWP data are displayed.
• When [Interpolation] is selected, forecast fields between forecast times can be interpolated and displayed (i.e. if
[Interpolation] is NOT selected, NWP data are shown only every six hours).
Tips
20. Changing Colors/Line Types/Hatch Patterns
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Colors can be changed here.
Intervals between contours (isolines)
can be selected here.
Initial time
21. Displaying Forecast Values
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Before After
The space between the red
arrows becomes shorter.
Drag the red arrow to the right to select
the forecast time.
Open NWP
menu.
Satellite images are not shown while
forecast time data are being displayed.
24. Displaying SYNOP/SHIP/TEMP Data
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1
2
Select Surf.
Select a figure
between 1,000 and 100.
SYNOP/SHIP
TEMP
Click a site on the display to
open a pop-up window for
that site.
Click a site on the display to
open a pop-up window for
that site.
28. Adjusting Gradation and Enhancing Color
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Click “Gray”
1. Adjust brightness.
2. Change contrast.
3. Reset grayscale.
Gradation display box
- To select a range to be emphasized:
Click on two arbitrary points
- To clear the range to be emphasized:
Right-click on the first point and left-click on
the second.
Select a radio button to change the grayscale setting.
1
2
3
32. Brightness Evaluation
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Click the upper-left of
the window
Vert.1 (Air temp.) Vert.2 (Potential temp.) Vert.3 (wind)
Vert.4 (Stability) Vert.5 (Trajectory)
Wind, temperature and
dew-point temperature
Wind, potential temperature, equivalent
potential temperature and saturated
equivalent potential temperature
Wind hodograph or
scorer number
SSI, KI, CAPE and CIN Trajectories with positions, altitudes,
potential temperature and equivalent
potential temperature changed over time.
33. Movement (Vector) Evaluation
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1. Check Measur
2. Check Move
Movement vector is
automatically calculated.
Change the
time as
desired.
Select the first point
in the first image.
Select the second point
in the next image.
Movement speed is
also calculated.
34. Time-series Evaluation
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1. Check Measur
2. Check Time
Click on the image.
When NWP data are displayed, a time-
series graph of NWP data for the selected
point will be shown.
35. Time-series Evaluation
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Sync view:
Data in the graph are updated in
synchronization with animation.
Fixed scale:
Upper- and lower-limit values on the scale
are fixed, and can be changed in Scale
setup. If this is left unchecked, actual
maximum and minimum brightness values
are shown.
Adjust size:
Graph sizes change in proportion to the
window size.
NwpTbb:
If this is left unchecked, no brightness
temperature graph is shown on the screen.
Only NWP data are shown.
Click upper-left of window
36. Cross-sectional Evaluation
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1. Check Measur
2. Check Cross
When NWP data are displayed, a cross-
sectional graph of NWP data for the selected
point will be shown.
Drag to define a cross section.
38. Isolines (Contours)
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Click the upper-
left of the
window.
Set up counter.
Is Extra contour checked?
Yes (Hatch pattern shown)
No (No hatch pattern shown)
Select line type.
Select
upper/lower
value and
interval. Select color.
Select line type.
Select
upper/lower
value and
interval.
Select color.
Select hatch pattern.
39. Histograms
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1. Check Measur
2. Check Hist
Click points on the display to
specify a polygonal area.
Double-click the last point.
40. Histograms
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Click the upper-left of the window.
Statistical values and a histogram
are shown.
Brightness degrees (temp. for IR and
reflectivity for VIS channel) are shown as
numerical values.
Frequency distribution of brightness
degrees is shown (the interval can be
changed on the histogram setup menu).
A scatter diagram of brightness temp. or
reflectivity together with regression lines is
shown for two different image types at the same
time.
Mode1 Mode2
Mode3 Mode4
42. Changing Window Size
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The screen size window can be opened to change the size of the SATAID
window by clicking on [Screen size] in the [Option] menu.
Window size is automatically adjusted
to fit the display.
Window size can be specified using the width
and height boxes (unit: pixels).
43. Creating Drawings
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1. Check Draw
Select line width.
Select Thin, Standard or Thick.
Spline drawing
• Select the line width and check the
[Curve] checkbox.
• Click on two or more points in the
displayed image and double click
on the end point.
Partial erasure
• Select the [Erase] checkbox.
• Click a line or a character string, etc. in
the current image to erase it. The item
will be displayed in reverse color, and
will be erased if clicked again.
* If neither [Curve] nor [Erase] is selected, freehand drawing is enabled.
Tip
44. Deleting Drawn Figures
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Right-click on
the figure.
Left-click on the
Question mark.
45. Creating Drawings
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1. Check Draw
2. Click Extra
1. Delete all drawings. ([Clear] button)
2. Cancel the previous drawing operation. ([Undo] button)
3. Draw lines and arrows (fronts, troughs, or ridges), which
can be created as with spline drawings.
*Click the [Sn-front] button with [Ctrl] pressed to draw a
stationary front in red and blue.
4. Draw polygons, closed curves, or cloud rims, which can be
created as with spline drawings. In these figures, colors and
hatched patterns can be changed.
5. Draw ellipses, circles, or flex oval. Colors can be changed
and hatched patterns can be used for filling.
6. Paste cloud form symbols or vortex center symbols. (Drag
a symbol to the desired point. The symbol size can be
changed and the symbol can be reversed from left to right
by dropping it with [Ctrl] pressed.)
7. Paste character strings. (Drag [Char] to the desired point.
The character size can be changed.)
8. Paste wind barbs (Drag [Char] to the desired point after
inputting WIND ddd (direction in 360 deg.) and fff
(velocity). The wind barb size can be changed.)
1
2
3
4 5
6
A
B
A: Change color and
hatch pattern.
B: Change symbol size.
46. Creating Drawings
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1 High-level cloud (Ci)
2 Middle-level cloud (Cm)
3 Cumulus (Cu)
4 Cumulus Congestus (Cg)
5 Cumulonimbus (Cb)
6 Stratus
7 Stratus or Fog
8 Low-level vortex
9 Upper-level vortex
10 Center of typhoon with eye
11 Center of typhoon without eye
12 Waved cloud (Mountain wave)
13 Low-level vortex (Meso β-scale )
14 (Cross mark)
15 Light turbulence
16 Moderate turbulence
17 Severe turbulence
18 (Tilde mark)
19 Light icing
20 Moderate icing
21 Severe icing
1 2 3 4 5 6 7
8
9 10 11 12 13 14 15
16 17 18 19 20 21
47. Outputting Images
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Print image: Output the current image to a printer
Print screen: Output the entire screen to a printer
Page setup: Set the margins of the printing paper
Output bitmap*: Output the current image as a bitmap file
Output serial bitmaps*: Output images as bitmap files
Output animated GIF: Output images as a Gif animation
(*BMP, JPG, PNG, TIF and other formats can be used.)
Copy the current image to the clipboard
48. Saving New Settings
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1. Select Option
2. Check Save value
Check [Save values] to save the current settings
to the initial value file in the program directory
before exiting the program.
The settings will be applied by default at the
next startup.
Settings saved include:
• Animation speed
• Show/hide status of latitude/longitude lines
• Latitude/longitude line display intervals
• Show/hide status of coastlines
• Show/hide status of drawings
• Screen size
• Line colors
• Grayscale status set separately for image
types