DocumentCode :
353414
Title :
Remote sensing in the event-based science classroom
Author :
Wright, Russell G. ; Hall, Dorothy K.
Author_Institution :
Montgomery County Public Sch., Rockville, MD, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
576
Abstract :
Event-Based Science (EBS) is a modular middle school science curriculum that is created by a partnership among Montgomery County Public Schools (Rockville, MD), USA Today, NBC News, CNN, and federal science agencies. EBS was funded by a grant from the National Science Foundation. The National Aeronautics and Space Administration (NASA) is supporting development of remote-sensing activities that allow middle school students to use: Landsat satellite data to analyze urban development around seismically-active faults; Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data to evaluate the health of the ocean near six harbors; Sea-surface temperature and real-time data-buoy data to evaluate the potential response of different harbors to oil spills; Geostationary Operational Environmental Satellite (GOES) data to track a hurricane; GOES data to correlate cloud-top temperatures in a hurricane with surface wind speeds; Landsat data to examine a floodplain for evidence of meandering of the channel; Landsat data to evaluate recovery after a wildfire; Landsat and digital elevation model (DEM) data to plan an escape route from volcanic debris flows. EBS remote-sensing activities are designed for middle school students in grades 6 through 8 throughout the world. Although it is intended that each activity will augment a specific EBS module, each is also designed to stand alone for use by students even if they are not using an EBS module
Keywords :
educational aids; educational courses; remote sensing; teaching; terrain mapping; EBS; GOES; Landsat; Maryland; Montgomery County Public Schools; SeaWiFS; USA; education; event-based science classroom; geophysical measurement technique; land surface; middle school; remote sensing; science curriculum; teaching; terrain mapping; Cellular neural networks; Data analysis; Educational institutions; Hurricanes; NASA; Niobium compounds; Ocean temperature; Remote sensing; Satellites; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
Type :
conf
DOI :
10.1109/IGARSS.2000.861635
Filename :
861635
Link To Document :
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