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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)

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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)