DocumentCode :
353405
Title :
GLOBE MUC-A-THON: a method for effective student land cover data collection
Author :
Bourgeault, Jennifer L. ; Congalton, Russell G. ; Becker, Mimi L.
Author_Institution :
Dept. of Natural Resources, New Hampshire Univ., Durham, NH, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
551
Abstract :
The Land Cover/Biology Team of The GLOBE Program has the challenging task of encouraging students and teachers in K-12 GLOBE schools to collect land cover data and interpret satellite imagery. There is a serious lack of experience among GLOBE teachers in this area and the result has been a lack of Land Cover/Biology data. The Land Cover/Biology Team has been a part of The GLOBE Program since its inception in 1995. Since then, the team has developed a land cover classification system by modifying the UNESCO classification system and renaming it the MUC (Modified UNESCO Classification) System. K-12 schools use this system to classify the land cover in a 15-kilometer×15-kilometer area around their school. One goal of The GLOBE Program is for GLOBE schools to collect as much data as possible about their area. The Land Cover/Biology Team specifically needs as much qualitative land cover data as possible to verify the accuracy of maps made using satellite imagery. Collecting large amounts of data is a difficult task for a school to organize. A GLOBE franchise in Dutchess County, NY developed the first “MUC-A-THON,” an event that takes place over a short period of time when a school or group of schools collect large amounts of qualitative land cover data for a specific area The Land Cover/Biology Team created an “Official MUC-A-THON Guide” which describes what a MUC-A-THON is, how to prepare and plan for one, who to involve, and steps to take during a MUC-A-THON
Keywords :
geophysical techniques; remote sensing; teaching; terrain mapping; vegetation mapping; GLOBE MUC-A-THON; K-12 GLOBE school; Modified UNESCO Classification; data collection; education; land cover; land surface; remote sensing; satellite imagery; school; teaching; terrain mapping; vegetation mapping; Atmosphere; Biomass; Educational institutions; Hydrology; Image processing; Infrared imaging; Protocols; Remote sensing; Satellites; Soil;
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.2000.861626
Filename :
861626
Link To Document :
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