Soil Analysis Spectral Data Processing with the ASD FieldSpec

Log in to watch this webinar

Not registered yet? Create an account
00:00:00 Welcome
00:00:16 Introduction
00:00:46 About ASD
00:01:41 Untitled
00:03:35 Maapera Analytics
00:05:48 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
00:08:29 Maapera Use of ASD FieldSpec 4 Hi-Res
00:10:12 Maapera Use of ASD FieldSpec 4 Hi-Res
00:12:31 Maapera Use of ASD FieldSpec 4 Hi-Res
00:14:42 Maapera Use of ASD FieldSpec 4 Hi-Res
00:17:04 Data Collection Software
00:19:39 Automated Data Processing
00:20:02 Automated Data Processing
00:20:07 Automated Data Processing
00:20:17 Automated Data Processing
00:21:15 Automated Data Processing
00:21:40 Automated Data Processing
00:21:54 Video Demonstration
00:21:54 Processing Spectral Data with Python and R
00:25:27 Processing Spectral Data with Python and R
00:27:06 Processing Spectral Data with Python and R
00:30:24 Processing Spectral Data with Python and R
00:32:58 Processing Spectral Data with Python and R
00:35:12 Processing Spectral Data with Python and R
00:36:08 Processing Spectral Data with Python and R
00:38:28 Processing Spectral Data with Python and R
00:39:04 Processing Spectral Data with Python and R
00:40:21 Processing Spectral Data with Python and R
00:41:22 Questions & Answers
00:43:18 Processing Spectral Data with Python and R
00:43:43 Question & Answers
00:51:23 Thanks for listening

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

Présentateur

Preston Sorenson is the founder and Chief Scientist of Maapera, an environmental services company in Edmonton, Alberta (Canada). Maapera is focused on applying advanced sensing and computer automation technology to soil assessment and clean-up operations (i.e. Rapid Soil Analysis Systems). Preston’s experience in environmental consulting combined with his Doctoral research is what identified the potential for changing how soil analysis and remediation operations are done.