Date recorded: July 17 2019

Duration: 52 minutes 29 seconds

This webinar focuses on processing spectral data for soil analysis utilizing the Malvern Panalytical ASD FieldSpec® 4 Hi-Res: High Resolution spectroradiometer.
In this webinar, you will learn:
• Background
• Maapera Analytics overview
• Selection of the ASD FieldSpec 4 Hi-Res instrument
• How Maapera uses the FieldSpec 4 spectroradiometer
• Data collection software and why
• Worked with software development kit
• Automated data processing
• Web portal
• Processing spectral data with Python
• Wavelets
• Sci-kit learn
• Data visualization

Table of contents
1. Welcome
00:16
2. Introduction
00:30
3. About ASD
00:55
4. Untitled
01:54
5. Maapera Analytics
02:13
6. ASD FieldSpec® 4 Hi-Res SpectroradiometerThe 3 nm VNIR, 8 nm SWIR spectral resolution of the ASD FieldSpec® 4 Hi-Res spectroradiometer provides superior spectral performance across the full range solar irradiance spectrum (350 – 2500 nm). The enhanced spe
02:41
7. Maapera Use of ASD FieldSpec 4 Hi-Res
01:43
8. Maapera Use of ASD FieldSpec 4 Hi-Res
02:19
9. Maapera Use of ASD FieldSpec 4 Hi-Res
02:11
10. Maapera Use of ASD FieldSpec 4 Hi-Res
02:22
11. Data Collection Software
02:35
12. Automated Data Processing
00:23
13. Automated Data Processing
00:05
14. Automated Data Processing
00:10
15. Automated Data Processing
00:58
16. Automated Data Processing
00:25
17. Automated Data Processing
00:14
18. Video Demonstration
00:00
19. Processing Spectral Data with Python and R
03:33
20. Processing Spectral Data with Python and R
01:39
21. Processing Spectral Data with Python and R
03:18
22. Processing Spectral Data with Python and R
02:34
23. Processing Spectral Data with Python and R
02:14
24. Processing Spectral Data with Python and R
00:56
25. Processing Spectral Data with Python and R
02:20
26. Processing Spectral Data with Python and R
00:36
27. Processing Spectral Data with Python and R
01:17
28. Processing Spectral Data with Python and R
01:01
29. Questions & Answers
01:56
30. Processing Spectral Data with Python and R
00:25
31. Question & Answers
07:40
32. Thanks for listening
01:06