<!DOCTYPE html><html><head><title></title><style type="text/css">p.MsoNormal,p.MsoNoSpacing{margin:0}
p.MsoNormal,p.MsoNoSpacing{margin:0}</style></head><body><div>This may be of interest to people on this list working in municipalities that want to determine canopy cover.<br></div><div><br></div><div>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. </div><div><br></div><div id="sig66169632"><pre class="signature" style="font-size:9pt;color:rgb(0, 0, 0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;orphans:2;text-align:start;text-indent:0px;text-transform:none;widows:2;word-spacing:0px;-webkit-text-stroke-width:0px;text-decoration-style:initial;text-decoration-color:initial;"><br></pre></div><div id="fastmail-quoted" type="cite"><div>---------- Forwarded message ----------<br></div><div>Subject: Investigating Time Series of Satellite Imagery: NASA ARSET training<br></div><div><br></div><div><br></div><div>Greetings,<br></div><div><br></div><div>We at NASA's Applied Remote Sensing Training Program (ARSET) wish to<br></div><div>reach out and make you aware of an upcoming open, online training<br></div><div>series on the access and evaluation of satellite imagery over time to<br></div><div>identify land cover trends and changes.<br></div><div><br></div><div>The ARSET program offers satellite remote sensing training that builds<br></div><div>the skills to integrate NASA Earth Science data into an agency’s and<br></div><div>organization's decision-making activities. As all NASA data is open<br></div><div>and free, so are ARSET trainings.<br></div><div><br></div><div>Title: Advanced Webinar: Investigating Time Series of Satellite Imagery<br></div><div><br></div><div>Organization: NASA Applied Remote Sensing Training Program (ARSET)<br></div><div><br></div><div>Course Overview: Evaluation of satellite imagery for an area over time<br></div><div>can be used to identify trends and changes. This type of time series<br></div><div>analysis can be used to assess forest disturbance, land cover changes,<br></div><div>vegetation health, and agriculture monitoring and expansion. NASA<br></div><div>Earth observations can provide long-term records from Landsat, and<br></div><div>frequent imagery from sensors including MODIS. This training will<br></div><div>focus on two tools, AppEEARS from the LPDAAC and LandTrendr via Google<br></div><div>Earth Engine (GEE). AppEEARS enables users to integrate point or<br></div><div>polygon ground-based data with satellite imagery. The GEE<br></div><div>implementation of LandTrendr enables users to analyze land cover<br></div><div>dynamics, including short-term disturbances and long-term trends. Both<br></div><div>sessions will feature a lecture, followed by time for hands-on<br></div><div>exercises and questions.<br></div><div><br></div><div>Learning Objectives: By the end of this training, attendees will<br></div><div>become familiar with time series analysis techniques:<br></div><div><br></div><div>Understand how to evaluate time series of MODIS & Landsat data<br></div><div>Learn how to integrate point data with satellite imagery using the<br></div><div>AppEEARS web-based interface<br></div><div>Learn the basics of the GEE implementation of LandTrendr including:<br></div><div>Generating annual land surface reflectance images<br></div><div>Plotting a time series of land surface reflectance<br></div><div>Creating a map of change detection, magnitude of change, duration of<br></div><div>change event, and pre-change spectral values<br></div><div><br></div><div>Course Dates: Monday, April 15 and Wednesday, April 17, 2019.<br></div><div>Times: 10:00-12:00 or 18:00-20:00 EDT (UTC-4)<br></div><div><br></div><div>Training URL: https://go.nasa.gov/2TMoEF1<br></div><div><br></div><div>Thank you for your time, if you have any questions please do not<br></div><div>hesitate to contact me,<br></div><div><br></div><div>Brock Blevins<br></div><div><br></div><div>Training Coordinator<br></div><div>Science Systems and Applications, Inc. (SSAI)<br></div><div>NASA Applied Remote Sensing Training Program (ARSET)<br></div><div>402-578-7313<br></div><div>brock.blevins@nasa.gov<br></div><div>nasa.arset@gmail.com<br></div><div>brockbl1@umbc.edu<br></div><div>--------------------------------------------------------<br></div><div><br></div><div><br></div></div><div><br></div></body></html>