The D-Lab, Earth Sciences and Map Library, and the Geospatial Innovation Facility (GIF) are offering a series of events on methods and technologies for working with geographic data, maps, and spatial analysis. All are welcome, but please RSVP here. Email pattyf@berkeley.edu with any questions.
Schedule
Georeferencing Scanned maps with MapWarper
Wednesday, Nov 15, 10 - 11:30 | D-Lab | 356 Barrows
Do you have scanned maps or images that you would like to use with other geographic data? If yes, register here for this workshop led by GIS and Map Librarian Susan Powell.
GISDay Lunch and Lightning Talks
Wednesday, Nov 15, 12:30 - 2pm | AIS | 117 Dwinelle
RSVP here for a geo-themed lunch with lightning talks on the use of geospatial data analysis methods and technologies. You can sign up to give a brief presentation on your research.
GeoHack Co-Working Party: share and collaborate
Wednesday, Nov 15, 2 - 4 pm | AIS | 117 Dwinelle
Bring your questions, data and software concerning geospatial methods and technologies for a session of collaborative co-working, consulting and coding.
Thursday, Nov 16, 1:10- 2pm | GIF | 103 Mulford
Danielle Golon, NASA's Land Processing Distributed Active Archive Center (LP DAAC) will give a talk on "Observing Land from Space: Interacting with Geospatial Data from NASA's LP DAAC"
Using NASA's AppEEARS and Other Tools to Improve Research Efficiency
Friday,November 17, 1pm-4pm | GIF | 124 Mulford Hall
The GIF is pleased to be able to offer this special workshop taught by our partners at NASA. This workshop introduces users to a range of innovative tools and services provided by NASA’s Land Processes Distributed Active Archive Center (LP DAAC), including the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS), which offers a simple and efficient way to access and transform geospatial data. With AppEEARS, users can subset geospatial datasets using spatial, temporal, band parameter, and quality filter constraints. Additionally, participants will become more familiar working with Terra and Aqua MODIS and Terra ASTER data products. This workshop is designed for users with some previous experience working with remote sensing data and a basic understanding of R.