[CANUFNET] Training by NASA that may apply to urban forests
Debra Huron
debra at debrahuron.com
Fri Apr 5 08:57:39 EDT 2019
This may be of interest to people on this list working in municipalities that want to determine canopy cover.
It could be that the imaging done by NASA is better than satellite images produced by Google maps, and therefore more useful at a micro level.
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Subject: Investigating Time Series of Satellite Imagery: NASA ARSET training
Greetings,
We at NASA's Applied Remote Sensing Training Program (ARSET) wish to
reach out and make you aware of an upcoming open, online training
series on the access and evaluation of satellite imagery over time to
identify land cover trends and changes.
The ARSET program offers satellite remote sensing training that builds
the skills to integrate NASA Earth Science data into an agency’s and
organization's decision-making activities. As all NASA data is open
and free, so are ARSET trainings.
Title: Advanced Webinar: Investigating Time Series of Satellite Imagery
Organization: NASA Applied Remote Sensing Training Program (ARSET)
Course Overview: Evaluation of satellite imagery for an area over time
can be used to identify trends and changes. This type of time series
analysis can be used to assess forest disturbance, land cover changes,
vegetation health, and agriculture monitoring and expansion. NASA
Earth observations can provide long-term records from Landsat, and
frequent imagery from sensors including MODIS. This training will
focus on two tools, AppEEARS from the LPDAAC and LandTrendr via Google
Earth Engine (GEE). AppEEARS enables users to integrate point or
polygon ground-based data with satellite imagery. The GEE
implementation of LandTrendr enables users to analyze land cover
dynamics, including short-term disturbances and long-term trends. Both
sessions will feature a lecture, followed by time for hands-on
exercises and questions.
Learning Objectives: By the end of this training, attendees will
become familiar with time series analysis techniques:
Understand how to evaluate time series of MODIS & Landsat data
Learn how to integrate point data with satellite imagery using the
AppEEARS web-based interface
Learn the basics of the GEE implementation of LandTrendr including:
Generating annual land surface reflectance images
Plotting a time series of land surface reflectance
Creating a map of change detection, magnitude of change, duration of
change event, and pre-change spectral values
Course Dates: Monday, April 15 and Wednesday, April 17, 2019.
Times: 10:00-12:00 or 18:00-20:00 EDT (UTC-4)
Training URL: https://go.nasa.gov/2TMoEF1
Thank you for your time, if you have any questions please do not
hesitate to contact me,
Brock Blevins
Training Coordinator
Science Systems and Applications, Inc. (SSAI)
NASA Applied Remote Sensing Training Program (ARSET)
402-578-7313
brock.blevins at nasa.gov
nasa.arset at gmail.com
brockbl1 at umbc.edu
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