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Using the software “MultiSpec,” students follow protocols to prepare a “clustered” image of their GLOBE Study Site

Students examine the “true color” And “false-color Infrared” images provided by GLOBE to identify land cover types. AA_Vis_2

Students use the “MUC System” to identify land cover types in their classified image.

Using either a local map,

Or their Landsat image,

Students gather data from 90 x 90 m Qualitative Land Cover Samples to check the accuracy of their map

. Site 1 MUC 0222 Site 2 MUC 4522 Site 3 MUC 93 Site 4 MUC 4522 Site 5 MUC 52 Site 6 MUC 72 Site 7 MUC 4522 Site 8 MUC 92 At each of these sites, the MUC value is determined, a GPS reading is taken at the center, and photographs are taken in each cardinal direction. These are Validation Data

The Accuracy Assessment Data Work Sheet is filled out for all sites. Landing Woods √ Rachel Carson_ √ Burnham Plaza √ Rachel Carson_ √ Dunes Development √ Wells Beach √ Rachel Carson_ √ Wells Corner √

Total The “Difference/Error Matrix” is constructed Validation Data (What we actually found) Map Data (What we expected to find) Total

Total Map and Validation data are entered on the Matrix Validation Data (What we actually found) Map Data (What we expected to find) Total | ||| || | |

Total Totals are calculated for rows and columns Validation Data (What we actually found) Map Data (What we expected to find) Total | ||| || | |

Overall Accuracy is calculated Overall Accuracy = x 100 Overall Accuracy = x 100 = 63% Sum of Major Diagonal Tallies Total Number of Samples 5 8 Map Data

More Qualitative sites are visited, and the Matrix is developed for all classes on the map Total Total Map Data Validation Data

Overall Accuracy is Calculated Overall Accuracy = x 100 = 72% Map Data Validation Data

Producer Accuracy is Calculated Producer Accuracy tells us how well we did in identifying Land cover types in our map. Producer Accuracy = x 100 = = 62% # Correctly Identified Column Total 8 13

Validation Data User Accuracy is Calculated User Accuracy = x 100 = = 57% # Correctly Identified Row Total 8 14 User Accuracy tells us how accurate someone else would be using our data in the field

REMOTELY SENSED FOREST VEGETATION MAPS: RASTER MAPS CREATED FROM LANDSAT TM IMAGERY July 1996 Landsat TM Image Pawtuckaway Study Area, NH, USA Forest Cover Type Map from Classification of July 1996 Landsat TM Image Pawtuckaway Study Area, NH, USA Legend Class Names White Pine White Pine-Hemlock Other Conifer Hemlock Oak Red Maple Mixed Forest Nonforest Beech Other Scale Kilometers AA_Vis_13

ERROR MATRICES AND ESTIMATES OF ACCURACY AA_Vis_15