SlideShare uma empresa Scribd logo
1 de 13
HDF Explorer

By
Pedro Vicente
Space
Research,Inc

HDF-EOS
WORKSHOP IV
September 19, 20 & 21
2000
Landover, MD

www.space-research.pt
Topics
• News (since Workshop II)
Version 1.1 of HDF Explorer
HDF Inspector version 1.0
• Things to do next
HDF Explorer
• What is HDF Explorer ?
• HDF data reader and visualization
• Data in a tree browsable window
• Data loading of each item on user request
• Several options on image generation (SDS)
• Platform: Microsoft Windows
HDF Explorer 1.1
• Reads HDF5
• Better data management for large
datasets
• What is HDF Inspector ?
• Free downloadable program, shows
SDS (datasets) as numeric data (grid)
HDF Explorer 1.1
SDS image options
• Scalar and vector data image
generation
• Scalar data
– Discrete map
– Continuous map
SDS discrete map
10. -11.
1
2
10

20

30

40

50

60

70

80

90

11. -12.
2
2

60

60

55

55

50

50

45

45

40

40

35

35

30

30

25

25

20

20

15

15

10

10

5

5

12. -13.
2
3
13. -14.
3
3

10

Mohid Data Explorer

20

30

40

50

60

70

Temperature (s igma)

•Different grid cell size supported

80

90

14. -15.
3
3
SDS vector map
(velocity field)
10

20

30

40

35

35

30

30

25

25

20

20

15

15

10

10

5

5

1 0 cm /
s

•Combine 2 datasets (vector components)
10

Mohid Data Explorer

20

30

Horiz ontal v elocity (s igma)

40
HDF Explorer 1.1
• Demo
Things to do next
some questions
• HDF-EOS
• HDF4 or 5 based ?
Next on HDF Explorer
HDF-EOS
• Visualizing HDF-EOS data: not
as direct as “normal” HDF data
• HDF data: numeric arrays ,
images, text.
HDF-EOS visualization
items

Point data; we have geolocation, how do
we get the underlying map information ?
Possible solutions: provide user input to
choose this kind of data, combine with
other data (grid)
Lat
61.12
45.31
38.50
38.39
30.00
37.45
18.00
43.40
34.03
32.45
33.30
42.15
35.05
34.12
46.32
47.36
39.44
21.25
44.58
41.49
25.45

Lon
-149.48
-122.41
-77.00
-90.15
-90.05
-122.26
-76.45
-79.23
-118.14
-96.48
-112.00
-71.07
-106.40
-77.56
-87.25
-122.20
-104.59
-78.00
-93.15
-87.37
-80.11

Temp(C)
15.00
17.00
24.00
27.00
22.00
25.00
27.00
30.00
25.00
32.00
30.00
28.00
30.00
28.00
30.00
32.00
31.00
28.00
32.00
28.00
19.00

Dewpt(C)
5.00
5.00
7.00
11.00
7.00
10.00
4.00
14.00
4.00
8.00
10.00
7.00
9.00
9.00
8.00
15.00
16.00
7.00
13.00
9.00
3.00
HDF-EOS visualization
items
• Swath data
• Combine all the different types of
information (geolocation fields,
dimensions, dimension maps and
data fields ).How to show this
information ?
HDF-EOS visualization
items
• Grid data
• Generate the projection(s)

Mais conteúdo relacionado

Semelhante a HDF Explorer

Improving long-term preservation of EOS data by independently mapping HDF4 da...
Improving long-term preservation of EOS data by independently mapping HDF4 da...Improving long-term preservation of EOS data by independently mapping HDF4 da...
Improving long-term preservation of EOS data by independently mapping HDF4 da...
The HDF-EOS Tools and Information Center
 
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout MapsEnsuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
The HDF-EOS Tools and Information Center
 

Semelhante a HDF Explorer (20)

HDF Explorer
HDF ExplorerHDF Explorer
HDF Explorer
 
HDF and HDF-EOS Tools (1998)
HDF and HDF-EOS Tools (1998)HDF and HDF-EOS Tools (1998)
HDF and HDF-EOS Tools (1998)
 
Improving long-term preservation of EOS data by independently mapping HDF4 da...
Improving long-term preservation of EOS data by independently mapping HDF4 da...Improving long-term preservation of EOS data by independently mapping HDF4 da...
Improving long-term preservation of EOS data by independently mapping HDF4 da...
 
HDF4 Mapping Project Update
HDF4 Mapping Project UpdateHDF4 Mapping Project Update
HDF4 Mapping Project Update
 
HDF And HDF-EOS Tools
HDF And HDF-EOS ToolsHDF And HDF-EOS Tools
HDF And HDF-EOS Tools
 
ESDIS Status (2002)
ESDIS Status (2002)ESDIS Status (2002)
ESDIS Status (2002)
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout MapsEnsuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
h5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 filesh5web: a web-based viewer of HDF5 files
h5web: a web-based viewer of HDF5 files
 
HDF-EOS Workshop II Introduction
HDF-EOS Workshop II IntroductionHDF-EOS Workshop II Introduction
HDF-EOS Workshop II Introduction
 
Status of HDF-EOS, Related Software, and Tools
Status of HDF-EOS, Related Software, and ToolsStatus of HDF-EOS, Related Software, and Tools
Status of HDF-EOS, Related Software, and Tools
 
Data Interoperability
Data InteroperabilityData Interoperability
Data Interoperability
 
Introduction to HDF5
Introduction to HDF5Introduction to HDF5
Introduction to HDF5
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
HDF - Current status and Future Directions
HDF - Current status and Future Directions HDF - Current status and Future Directions
HDF - Current status and Future Directions
 
HDF Update
HDF UpdateHDF Update
HDF Update
 
Workshop Discussion: HDF & HDF-EOS Future Direction
Workshop Discussion: HDF & HDF-EOS Future DirectionWorkshop Discussion: HDF & HDF-EOS Future Direction
Workshop Discussion: HDF & HDF-EOS Future Direction
 

Mais de The HDF-EOS Tools and Information Center

Mais de The HDF-EOS Tools and Information Center (20)

Cloud-Optimized HDF5 Files
Cloud-Optimized HDF5 FilesCloud-Optimized HDF5 Files
Cloud-Optimized HDF5 Files
 
Accessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDSAccessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDS
 
The State of HDF
The State of HDFThe State of HDF
The State of HDF
 
Highly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance FeaturesHighly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance Features
 
Creating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 FilesCreating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 Files
 
HDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance DiscussionHDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance Discussion
 
Hyrax: Serving Data from S3
Hyrax: Serving Data from S3Hyrax: Serving Data from S3
Hyrax: Serving Data from S3
 
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLABAccessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
 
HDF - Current status and Future Directions
HDF - Current status and Future DirectionsHDF - Current status and Future Directions
HDF - Current status and Future Directions
 
HDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and FutureHDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and Future
 
H5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only LibraryH5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only Library
 
MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10
 
HDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDFHDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDF
 
HDF5 <-> Zarr
HDF5 <-> ZarrHDF5 <-> Zarr
HDF5 <-> Zarr
 
HDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server FeaturesHDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server Features
 
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
 
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
 
HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?
 
HDF5 Roadmap 2019-2020
HDF5 Roadmap 2019-2020HDF5 Roadmap 2019-2020
HDF5 Roadmap 2019-2020
 
Leveraging the Cloud for HDF Software Testing
Leveraging the Cloud for HDF Software TestingLeveraging the Cloud for HDF Software Testing
Leveraging the Cloud for HDF Software Testing
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Último (20)

Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 

HDF Explorer

  • 1. HDF Explorer By Pedro Vicente Space Research,Inc HDF-EOS WORKSHOP IV September 19, 20 & 21 2000 Landover, MD www.space-research.pt
  • 2. Topics • News (since Workshop II) Version 1.1 of HDF Explorer HDF Inspector version 1.0 • Things to do next
  • 3. HDF Explorer • What is HDF Explorer ? • HDF data reader and visualization • Data in a tree browsable window • Data loading of each item on user request • Several options on image generation (SDS) • Platform: Microsoft Windows
  • 4. HDF Explorer 1.1 • Reads HDF5 • Better data management for large datasets • What is HDF Inspector ? • Free downloadable program, shows SDS (datasets) as numeric data (grid)
  • 5. HDF Explorer 1.1 SDS image options • Scalar and vector data image generation • Scalar data – Discrete map – Continuous map
  • 6. SDS discrete map 10. -11. 1 2 10 20 30 40 50 60 70 80 90 11. -12. 2 2 60 60 55 55 50 50 45 45 40 40 35 35 30 30 25 25 20 20 15 15 10 10 5 5 12. -13. 2 3 13. -14. 3 3 10 Mohid Data Explorer 20 30 40 50 60 70 Temperature (s igma) •Different grid cell size supported 80 90 14. -15. 3 3
  • 7. SDS vector map (velocity field) 10 20 30 40 35 35 30 30 25 25 20 20 15 15 10 10 5 5 1 0 cm / s •Combine 2 datasets (vector components) 10 Mohid Data Explorer 20 30 Horiz ontal v elocity (s igma) 40
  • 9. Things to do next some questions • HDF-EOS • HDF4 or 5 based ?
  • 10. Next on HDF Explorer HDF-EOS • Visualizing HDF-EOS data: not as direct as “normal” HDF data • HDF data: numeric arrays , images, text.
  • 11. HDF-EOS visualization items Point data; we have geolocation, how do we get the underlying map information ? Possible solutions: provide user input to choose this kind of data, combine with other data (grid) Lat 61.12 45.31 38.50 38.39 30.00 37.45 18.00 43.40 34.03 32.45 33.30 42.15 35.05 34.12 46.32 47.36 39.44 21.25 44.58 41.49 25.45 Lon -149.48 -122.41 -77.00 -90.15 -90.05 -122.26 -76.45 -79.23 -118.14 -96.48 -112.00 -71.07 -106.40 -77.56 -87.25 -122.20 -104.59 -78.00 -93.15 -87.37 -80.11 Temp(C) 15.00 17.00 24.00 27.00 22.00 25.00 27.00 30.00 25.00 32.00 30.00 28.00 30.00 28.00 30.00 32.00 31.00 28.00 32.00 28.00 19.00 Dewpt(C) 5.00 5.00 7.00 11.00 7.00 10.00 4.00 14.00 4.00 8.00 10.00 7.00 9.00 9.00 8.00 15.00 16.00 7.00 13.00 9.00 3.00
  • 12. HDF-EOS visualization items • Swath data • Combine all the different types of information (geolocation fields, dimensions, dimension maps and data fields ).How to show this information ?
  • 13. HDF-EOS visualization items • Grid data • Generate the projection(s)