Create 2016_03_31_sensor_standards.md

Author: Rachel Shekar

meeting-notes/2016_03_31_sensor_standards.md

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+---
+layout: post
+title: "March 31,  Sensor Standards Committee Meeting Notes"
+modified:
+categories: blog
+excerpt:
+tags: []
+image:
+  feature:
+date: 2016-03-31T20:43:38-05:00
+---
+
+# March 31, 2016 Sensor Data Standards Committee Meeting
+
+## Participants
+
+David LeBauer, Chris Boomsma, Larry Biehl, Ed Delp, Melba Crawford, Solmaz Hajmohammadi
+
+Charlie Zender, Matt Colgan, Alex Thomasson
+
+## Agenda
+
+### Updates on Lemnatec Field Scanner in Arizona
+
+Sample data from wheat is available
+
+Sorghum planting scheduled for mid-April
+
+### Review of initial data sets and products
+
+Raw data sets available
+
+- How to access raw data: Globus, Clowder (by request, not yet public - Maloney, John Daniel <malone12@illinois.edu>)
+- Plans for v0 sensor data products
+
+- Data stream for environmental sensors (including meteorology and downwelling spectra)
+  - Sample data set   [2016-02-15\_21-20-08\_enviromentlogger.json.txt](https://github.com/terraref/reference-data/files/178402/2016-02-15_21-20-08_enviromentlogger.json.txt) and discussion on [Github issue 26](https://github.com/terraref/reference-data/issues/26):
+  - [Draft format specification](https://github.com/terraref/documentation/blob/master/environmental_data.md)
+- Hyperspectral and imagery data - Charlie Zender
+  - Ugly workflow [script](https://github.com/terraref/computing-pipeline/tree/master/scripts/hyperspectral/terraref.sh) (convert raw->netCDF, compress, add metadata)
+  - [Help screen](https://gist.github.com/czender/39b5249dd92c3b8f471beda7bbc121c5)
+  - [Run output](https://gist.github.com/czender/bdd93e4d67aeca8b5c11bd916c655db9#file-terraref-out)
+  - Review sample [data](http://dust.ess.uci.edu/tmp/foo.nc) (warning: 134 Mb) and/or [metadata](http://dust.ess.uci.edu/tmp/foo.cdl)
+    - People will be most interested in looking at band-specific data so the default script is simplified for this.
+    - Lossless compression by Deflate is 20-25% with no loss of data with less than 5 s to decompress.  Higher compression will cause longer decompression time
+    - Lossy compression is an option (bit rounding), then compressing with lossless compression to get an extra 10% saving per decimal digit
+- Gantry sensors
+  - How to correct if velocity is not constant?  Also problems with GPS if moving very slowly.
+  - All lemnatec GFE cameras are operating independently and data will be combined later (image stitching)
+  - Speed of gantry and start time positions known.  Timestamp with text file accurate to millisec.  Accurate to second when the mirror angle is changing, and the gantry is not moving.
+  - Any info on reflectance calibration?  What should we do for calibration?
+
+### Discussion
+
+- What are the priority use cases to support?
+- (How and where) might you use software components?
+- Are you interested in either contributing data or adopting common standards?
+- Calibration
+  - Light
+  - Space
+  - Time
+
+### GitHub issues
+
+- Complete list of [Open Github Issues related to Sensor Data](https://github.com/search?q=org%3Aterraref++label%3A%22sensor+data%22&ref=searchresults&state=open&type=Issues&utf8=%E2%9C%93)
+- Issue 64: [First step of processing and annotating sensor output](https://github.com/terraref/computing-pipeline/issues/64)
+- Issue 14: [Formats for image and other hyperspectral data](https://github.com/terraref/reference-data/issues/14)