H24V4

LandSat Path 139 Row 30

Lab 11 - 12


 * Confusion Matrix: [Memory6] (1900x1900x1)
 * Confusion Matrix: [Memory6] (1900x1900x1)

Overall Accuracy = (4685/5711) 82.0347% Kappa Coefficient = 0.7828

Ground Truth (Pixels) Class Water Cropland Forest Snow Sand Unclassified 0 0 0 0 0 Water [Red] 2 1079 0 0 91 0 Cropland [Gre 0 1397 0 0 0 Forest - Ever 0 58 409 0 0 Snow [Cyan] 2 24 0 0 54 0 Sand [Magenta 9 176 0 0 457 Salt Flat [Bl 0 0 0 0 0 Rock [Maroon] 49 67 0 0 138 Barren [Sea G 0 0 0 0 0 Total 1161 1698 409 145 595

Ground Truth (Pixels) Class Salt Flat Rock Barren Total Unclassified 0 0 0 0 Water [Red] 2 377 9 0 1556 Cropland [Gre 0 0 0 1397 Forest - Ever 0 0 0 467 Snow [Cyan] 2 19 4 0 101 Sand [Magenta 0 0 0 642 Salt Flat [Bl 383 0 0 383 Rock [Maroon] 0 241 5 500 Barren [Sea G 0 0 665 665 Total 779 254 670 5711

Ground Truth (Percent) Class Water Cropland Forest Snow Sand Unclassified 0.00 0.00 0.00 0.00 0.00 Water [Red] 2 92.94 0.00 0.00 62.76 0.00 Cropland [Gre 0.00 82.27 0.00 0.00 0.00 Forest - Ever 0.00 3.42 100.00 0.00 0.00 Snow [Cyan] 2 2.07 0.00 0.00 37.24 0.00 Sand [Magenta 0.78 10.37 0.00 0.00 76.81 Salt Flat [Bl 0.00 0.00 0.00 0.00 0.00 Rock [Maroon] 4.22 3.95 0.00 0.00 23.19 Barren [Sea G 0.00 0.00 0.00 0.00 0.00 Total 100.00 100.00 100.00 100.00 100.00

Ground Truth (Percent) Class Salt Flat Rock Barren Total Unclassified 0.00 0.00 0.00 0.00 Water [Red] 2 48.40 3.54 0.00 27.25 Cropland [Gre 0.00 0.00 0.00 24.46 Forest - Ever 0.00 0.00 0.00 8.18 Snow [Cyan] 2 2.44 1.57 0.00 1.77 Sand [Magenta 0.00 0.00 0.00 11.24 Salt Flat [Bl 49.17 0.00 0.00 6.71 Rock [Maroon] 0.00 94.88 0.75 8.76 Barren [Sea G 0.00 0.00 99.25 11.64 Total 100.00 100.00 100.00 100.00

Class Commission Omission Commission Omission (Percent) (Percent) (Pixels) (Pixels) Water [Red] 2 30.66 7.06 477/1556 82/1161 Cropland [Gre 0.00 17.73 0/1397 301/1698 Forest - Ever 12.42 0.00 58/467 0/409 Snow [Cyan] 2 46.53 62.76 47/101 91/145 Sand [Magenta 28.82 23.19 185/642 138/595 Salt Flat [Bl 0.00 50.83 0/383 396/779 Rock [Maroon] 51.80 5.12 259/500 13/254 Barren [Sea G 0.00 0.75 0/665 5/670

Class Prod. Acc. User Acc. Prod. Acc. User Acc. (Percent) (Percent) (Pixels) (Pixels) Water [Red] 2 92.94 69.34 1079/1161 1079/1556 Cropland [Gre 82.27 100.00 1397/1698 1397/1397 Forest - Ever 100.00 87.58 409/409 409/467 Snow [Cyan] 2 37.24 53.47 54/145 54/101 Sand [Magenta 76.81 71.18 457/595 457/642 Salt Flat [Bl 49.17 100.00 383/779 383/383 Rock [Maroon] 94.88 48.20 241/254 241/500 Barren [Sea G 99.25 100.00 665/670 665/665 || Confusion Matrix: [Memory7] (1900x1900x1)

Overall Accuracy = (5317/5711) 93.1010% Kappa Coefficient = 0.9162

Ground Truth (Pixels) Class Water Cropland Forest Snow Sand Unclassified 0 0 0 0 0 Water [Red] 8 1088 0 0 0 0 Cropland [Gre 0 1513 129 0 0 Forest - Ever 2 185 280 0 0 Snow [Cyan] 2 70 0 0 145 0 Sand [Magenta 0 0 0 0 592 Salt Flat [Bl 0 0 0 0 0 Rock [Maroon] 1 0 0 0 3 Barren [Sea G 0 0 0 0 0 Total 1161 1698 409 145 595

Ground Truth (Pixels) Class Salt Flat Rock Barren Total Unclassified 0 0 0 0 Water [Red] 8 0 0 0 1088 Cropland [Gre 0 0 0 1642 Forest - Ever 0 0 0 467 Snow [Cyan] 2 0 0 0 215 Sand [Magenta 0 4 0 596 Salt Flat [Bl 779 0 0 779 Rock [Maroon] 0 250 0 254 Barren [Sea G 0 0 670 670 Total 779 254 670 5711

Ground Truth (Percent) Class Water Cropland Forest Snow Sand Unclassified 0.00 0.00 0.00 0.00 0.00 Water [Red] 8 93.71 0.00 0.00 0.00 0.00 Cropland [Gre 0.00 89.10 31.54 0.00 0.00 Forest - Ever 0.17 10.90 68.46 0.00 0.00 Snow [Cyan] 2 6.03 0.00 0.00 100.00 0.00 Sand [Magenta 0.00 0.00 0.00 0.00 99.50 Salt Flat [Bl 0.00 0.00 0.00 0.00 0.00 Rock [Maroon] 0.09 0.00 0.00 0.00 0.50 Barren [Sea G 0.00 0.00 0.00 0.00 0.00 Total 100.00 100.00 100.00 100.00 100.00

Ground Truth (Percent) Class Salt Flat Rock Barren Total Unclassified 0.00 0.00 0.00 0.00 Water [Red] 8 0.00 0.00 0.00 19.05 Cropland [Gre 0.00 0.00 0.00 28.75 Forest - Ever 0.00 0.00 0.00 8.18 Snow [Cyan] 2 0.00 0.00 0.00 3.76 Sand [Magenta 0.00 1.57 0.00 10.44 Salt Flat [Bl 100.00 0.00 0.00 13.64 Rock [Maroon] 0.00 98.43 0.00 4.45 Barren [Sea G 0.00 0.00 100.00 11.73 Total 100.00 100.00 100.00 100.00

Class Commission Omission Commission Omission (Percent) (Percent) (Pixels) (Pixels) Water [Red] 8 0.00 6.29 0/1088 73/1161 Cropland [Gre 7.86 10.90 129/1642 185/1698 Forest - Ever 40.04 31.54 187/467 129/409 Snow [Cyan] 2 32.56 0.00 70/215 0/145 Sand [Magenta 0.67 0.50 4/596 3/595 Salt Flat [Bl 0.00 0.00 0/779 0/779 Rock [Maroon] 1.57 1.57 4/254 4/254 Barren [Sea G 0.00 0.00 0/670 0/670

Class Prod. Acc. User Acc. Prod. Acc. User Acc. (Percent) (Percent) (Pixels) (Pixels) Water [Red] 8 93.71 100.00 1088/1161 1088/1088 Cropland [Gre 89.10 92.14 1513/1698 1513/1642 Forest - Ever 68.46 59.96 280/409 280/467 Snow [Cyan] 2 100.00 67.44 145/145 145/215 Sand [Magenta 99.50 99.33 592/595 592/596 Salt Flat [Bl 100.00 100.00 779/779 779/779 Rock [Maroon] 98.43 98.43 250/254 250/254 Barren [Sea G 100.00 100.00 670/670 670/670 ||
 * [[image:WG_Max_Likelihood_Aug_4_1991.png width="480" height="480" align="center"]] || [[image:WG_Max_Likelihood_Aug_24_2010.png width="480" height="480" align="center"]] ||
 * =Input File: Aug 1991 Subset= || =Input File: Aug 24 2010 Subset= ||
 * ROI Name: (Jeffries-Matusita, Transformed Divergence) || ROI Name: (Jeffries-Matusita, Transformed Divergence) ||
 * Water [Red] 2036 points: || Water [Red] 822 points: ||
 * Cropland [Green] 2190 points: (1.99999930 2.00000000) || Cropland [Green] 1377 points: (2.00000000 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.99999876 2.00000000) || Forest - Evergreen [Yellow] 635 points: (1.99999975 2.00000000) ||
 * Snow [Cyan] 291 points: (1.84101365 1.99999065) || Snow [Cyan] 257 points: (1.99869603 2.00000000) ||
 * Sand [Magenta] 2857 points: (2.00000000 2.00000000) || Sand [Magenta] 2678 points: (2.00000000 2.00000000) ||
 * Salt Flat [Blue] 1832 points: (1.99742478 2.00000000) || Salt Flat [Blue] 1928 points: (2.00000000 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.99999371 2.00000000) || Rock [Maroon] 1078 points: (1.99993077 2.00000000) ||
 * Barren [Sea Green] 1862 points: (2.00000000 2.00000000) || Barren [Sea Green] 1309 points: (2.00000000 2.00000000) ||
 * Cropland [Green] 2190 points: || Cropland [Green] 1377 points: ||
 * Water [Red] 2036 points: (1.99999930 2.00000000) || Water [Red] 822 points: (2.00000000 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.74123664 1.97305331) || Forest - Evergreen [Yellow] 635 points: (1.93969290 1.99930716) ||
 * Snow [Cyan] 291 points: (2.00000000 2.00000000) || Snow [Cyan] 257 points: (2.00000000 2.00000000) ||
 * Sand [Magenta] 2857 points: (1.99394403 1.99999973) || Sand [Magenta] 2678 points: (1.99972267 2.00000000) ||
 * Salt Flat [Blue] 1832 points: (2.00000000 2.00000000) || Salt Flat [Blue] 1928 points: (1.99999996 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.99272081 2.00000000) || Rock [Maroon] 1078 points: (1.99947449 2.00000000) ||
 * Barren [Sea Green] 1862 points: (1.99998769 2.00000000) || Barren [Sea Green] 1309 points: (1.99999999 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: || Forest - Evergreen [Yellow] 635 points: ||
 * Water [Red] 2036 points: (1.99999876 2.00000000) || Water [Red] 822 points: (1.99999975 2.00000000) ||
 * Cropland [Green] 2190 points: (1.74123664 1.97305331) || Cropland [Green] 1377 points: (1.93969290 1.99930716) ||
 * Snow [Cyan] 291 points: (2.00000000 2.00000000) || Snow [Cyan] 257 points: (1.99999832 2.00000000) ||
 * Sand [Magenta] 2857 points: (1.97256578 1.99999997) || Sand [Magenta] 2678 points: (1.91299985 1.99654695) ||
 * Salt Flat [Blue] 1832 points: (1.99999997 2.00000000) || Salt Flat [Blue] 1928 points: (1.99999998 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.94374041 2.00000000) || Rock [Maroon] 1078 points: (1.97943734 2.00000000) ||
 * Barren [Sea Green] 1862 points: (1.99697453 2.00000000) || Barren [Sea Green] 1309 points: (1.99646799 2.00000000) ||
 * Snow [Cyan] 291 points: || Snow [Cyan] 257 points: ||
 * Water [Red] 2036 points: (1.84101365 1.99999065) || Water [Red] 822 points: (1.99869603 2.00000000) ||
 * Cropland [Green] 2190 points: (2.00000000 2.00000000) || Cropland [Green] 1377 points: (2.00000000 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (2.00000000 2.00000000) || Forest - Evergreen [Yellow] 635 points: (1.99999832 2.00000000) ||
 * Sand [Magenta] 2857 points: (2.00000000 2.00000000) || Sand [Magenta] 2678 points: (2.00000000 2.00000000) ||
 * Salt Flat [Blue] 1832 points: (1.99921468 2.00000000) || Salt Flat [Blue] 1928 points: (1.99993622 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.99999870 2.00000000) || Rock [Maroon] 1078 points: (1.99853312 2.00000000) ||
 * Barren [Sea Green] 1862 points: (1.99999989 2.00000000) || Barren [Sea Green] 1309 points: (2.00000000 2.00000000) ||
 * Sand [Magenta] 2857 points: || Sand [Magenta] 2678 points: ||
 * Water [Red] 2036 points: (2.00000000 2.00000000) || Water [Red] 822 points: (2.00000000 2.00000000) ||
 * Cropland [Green] 2190 points: (1.99394403 1.99999973) || Cropland [Green] 1377 points: (1.99972267 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.97256578 1.99999997) || Forest - Evergreen [Yellow] 635 points: (1.91299985 1.99654695) ||
 * Snow [Cyan] 291 points: (2.00000000 2.00000000) || Snow [Cyan] 257 points: (2.00000000 2.00000000) ||
 * Salt Flat [Blue] 1832 points: (2.00000000 2.00000000) || Salt Flat [Blue] 1928 points: (2.00000000 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.85380083 1.99676439) || Rock [Maroon] 1078 points: (1.90816015 1.98272935) ||
 * Barren [Sea Green] 1862 points: (1.99986909 1.99999875) || Barren [Sea Green] 1309 points: (1.99986280 1.99999991) ||
 * Salt Flat [Blue] 1832 points: || Salt Flat [Blue] 1928 points: ||
 * Water [Red] 2036 points: (1.99742478 2.00000000) || Water [Red] 822 points: (2.00000000 2.00000000) ||
 * Cropland [Green] 2190 points: (2.00000000 2.00000000) || Cropland [Green] 1377 points: (1.99999996 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.99999997 2.00000000) || Forest - Evergreen [Yellow] 635 points: (1.99999998 2.00000000) ||
 * Snow [Cyan] 291 points: (1.99921468 2.00000000) || Snow [Cyan] 257 points: (1.99993622 2.00000000) ||
 * Sand [Magenta] 2857 points: (2.00000000 2.00000000) || Sand [Magenta] 2678 points: (2.00000000 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.99994073 2.00000000) || Rock [Maroon] 1078 points: (1.99997331 2.00000000) ||
 * Barren [Sea Green] 1862 points: (1.99999998 2.00000000) || Barren [Sea Green] 1309 points: (2.00000000 2.00000000) ||
 * Rock [Maroon] 1392 points: || Rock [Maroon] 1078 points: ||
 * Water [Red] 2036 points: (1.99999371 2.00000000) || Water [Red] 822 points: (1.99993077 2.00000000) ||
 * Cropland [Green] 2190 points: (1.99272081 2.00000000) || Cropland [Green] 1377 points: (1.99947449 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.94374041 2.00000000) || Forest - Evergreen [Yellow] 635 points: (1.97943734 2.00000000) ||
 * Snow [Cyan] 291 points: (1.99999870 2.00000000) || Snow [Cyan] 257 points: (1.99853312 2.00000000) ||
 * Sand [Magenta] 2857 points: (1.85380083 1.99676439) || Sand [Magenta] 2678 points: (1.90816015 1.98272935) ||
 * Salt Flat [Blue] 1832 points: (1.99994073 2.00000000) || Salt Flat [Blue] 1928 points: (1.99997331 2.00000000) ||
 * Barren [Sea Green] 1862 points: (1.76131349 1.93022664) || Barren [Sea Green] 1309 points: (1.94383733 1.99459434) ||
 * Barren [Sea Green] 1862 points: || Barren [Sea Green] 1309 points: ||
 * Water [Red] 2036 points: (2.00000000 2.00000000) || Water [Red] 822 points: (2.00000000 2.00000000) ||
 * Cropland [Green] 2190 points: (1.99998769 2.00000000) || Cropland [Green] 1377 points: (1.99999999 2.00000000) ||
 * Forest - Evergreen [Yellow] 1126 points: (1.99697453 2.00000000) || Forest - Evergreen [Yellow] 635 points: (1.99646799 2.00000000) ||
 * Snow [Cyan] 291 points: (1.99999989 2.00000000) || Snow [Cyan] 257 points: (2.00000000 2.00000000) ||
 * Sand [Magenta] 2857 points: (1.99986909 1.99999875) || Sand [Magenta] 2678 points: (1.99986280 1.99999991) ||
 * Salt Flat [Blue] 1832 points: (1.99999998 2.00000000) || Salt Flat [Blue] 1928 points: (2.00000000 2.00000000) ||
 * Rock [Maroon] 1392 points: (1.76131349 1.93022664) || Rock [Maroon] 1078 points: (1.94383733 1.99459434) ||
 * Pair Separation (least to most); || Pair Separation (least to most); ||
 * Cropland [Green] 2190 points and Forest - Evergreen [Yellow] 1126 points - 1.74123664 || Sand [Magenta] 2678 points and Rock [Maroon] 1078 points - 1.90816015 ||
 * Rock [Maroon] 1392 points and Barren [Sea Green] 1862 points - 1.76131349 || Forest - Evergreen [Yellow] 635 points and Sand [Magenta] 2678 points - 1.91299985 ||
 * Water [Red] 2036 points and Snow [Cyan] 291 points - 1.84101365 || Cropland [Green] 1377 points and Forest - Evergreen [Yellow] 635 points - 1.93969290 ||
 * Sand [Magenta] 2857 points and Rock [Maroon] 1392 points - 1.85380083 || Rock [Maroon] 1078 points and Barren [Sea Green] 1309 points - 1.94383733 ||
 * Forest - Evergreen [Yellow] 1126 points and Rock [Maroon] 1392 points - 1.94374041 || Forest - Evergreen [Yellow] 635 points and Rock [Maroon] 1078 points - 1.97943734 ||
 * Forest - Evergreen [Yellow] 1126 points and Sand [Magenta] 2857 points - 1.97256578 || Forest - Evergreen [Yellow] 635 points and Barren [Sea Green] 1309 points - 1.99646799 ||
 * Cropland [Green] 2190 points and Rock [Maroon] 1392 points - 1.99272081 || Snow [Cyan] 257 points and Rock [Maroon] 1078 points - 1.99853312 ||
 * Cropland [Green] 2190 points and Sand [Magenta] 2857 points - 1.99394403 || Water [Red] 822 points and Snow [Cyan] 257 points - 1.99869603 ||
 * Forest - Evergreen [Yellow] 1126 points and Barren [Sea Green] 1862 points - 1.99697453 || Cropland [Green] 1377 points and Rock [Maroon] 1078 points - 1.99947449 ||
 * Water [Red] 2036 points and Salt Flat [Blue] 1832 points - 1.99742478 || Cropland [Green] 1377 points and Sand [Magenta] 2678 points - 1.99972267 ||
 * Snow [Cyan] 291 points and Salt Flat [Blue] 1832 points - 1.99921468 || Sand [Magenta] 2678 points and Barren [Sea Green] 1309 points - 1.99986280 ||
 * Sand [Magenta] 2857 points and Barren [Sea Green] 1862 points - 1.99986909 || Water [Red] 822 points and Rock [Maroon] 1078 points - 1.99993077 ||
 * Salt Flat [Blue] 1832 points and Rock [Maroon] 1392 points - 1.99994073 || Snow [Cyan] 257 points and Salt Flat [Blue] 1928 points - 1.99993622 ||
 * Cropland [Green] 2190 points and Barren [Sea Green] 1862 points - 1.99998769 || Salt Flat [Blue] 1928 points and Rock [Maroon] 1078 points - 1.99997331 ||
 * Water [Red] 2036 points and Rock [Maroon] 1392 points - 1.99999371 || Forest - Evergreen [Yellow] 635 points and Snow [Cyan] 257 points - 1.99999832 ||
 * Snow [Cyan] 291 points and Rock [Maroon] 1392 points - 1.99999870 || Water [Red] 822 points and Forest - Evergreen [Yellow] 635 points - 1.99999975 ||
 * Water [Red] 2036 points and Forest - Evergreen [Yellow] 1126 points - 1.99999876 || Cropland [Green] 1377 points and Salt Flat [Blue] 1928 points - 1.99999996 ||
 * Water [Red] 2036 points and Cropland [Green] 2190 points - 1.99999930 || Forest - Evergreen [Yellow] 635 points and Salt Flat [Blue] 1928 points - 1.99999998 ||
 * Snow [Cyan] 291 points and Barren [Sea Green] 1862 points - 1.99999989 || Cropland [Green] 1377 points and Barren [Sea Green] 1309 points - 1.99999999 ||
 * Forest - Evergreen [Yellow] 1126 points and Salt Flat [Blue] 1832 points - 1.99999997 || Salt Flat [Blue] 1928 points and Barren [Sea Green] 1309 points - 2.00000000 ||
 * Salt Flat [Blue] 1832 points and Barren [Sea Green] 1862 points - 1.99999998 || Sand [Magenta] 2678 points and Salt Flat [Blue] 1928 points - 2.00000000 ||
 * Forest - Evergreen [Yellow] 1126 points and Snow [Cyan] 291 points - 2.00000000 || Snow [Cyan] 257 points and Sand [Magenta] 2678 points - 2.00000000 ||
 * Sand [Magenta] 2857 points and Salt Flat [Blue] 1832 points - 2.00000000 || Snow [Cyan] 257 points and Barren [Sea Green] 1309 points - 2.00000000 ||
 * Cropland [Green] 2190 points and Snow [Cyan] 291 points - 2.00000000 || Water [Red] 822 points and Sand [Magenta] 2678 points - 2.00000000 ||
 * Water [Red] 2036 points and Barren [Sea Green] 1862 points - 2.00000000 || Cropland [Green] 1377 points and Snow [Cyan] 257 points - 2.00000000 ||
 * Water [Red] 2036 points and Sand [Magenta] 2857 points - 2.00000000 || Water [Red] 822 points and Salt Flat [Blue] 1928 points - 2.00000000 ||
 * Snow [Cyan] 291 points and Sand [Magenta] 2857 points - 2.00000000 || Water [Red] 822 points and Cropland [Green] 1377 points - 2.00000000 ||
 * Cropland [Green] 2190 points and Salt Flat [Blue] 1832 points - 2.00000000 || Water [Red] 822 points and Barren [Sea Green] 1309 points - 2.00000000 ||
 * Water [Red] 2036 points and Cropland [Green] 2190 points - 1.99999930 || Forest - Evergreen [Yellow] 635 points and Salt Flat [Blue] 1928 points - 1.99999998 ||
 * Snow [Cyan] 291 points and Barren [Sea Green] 1862 points - 1.99999989 || Cropland [Green] 1377 points and Barren [Sea Green] 1309 points - 1.99999999 ||
 * Forest - Evergreen [Yellow] 1126 points and Salt Flat [Blue] 1832 points - 1.99999997 || Salt Flat [Blue] 1928 points and Barren [Sea Green] 1309 points - 2.00000000 ||
 * Salt Flat [Blue] 1832 points and Barren [Sea Green] 1862 points - 1.99999998 || Sand [Magenta] 2678 points and Salt Flat [Blue] 1928 points - 2.00000000 ||
 * Forest - Evergreen [Yellow] 1126 points and Snow [Cyan] 291 points - 2.00000000 || Snow [Cyan] 257 points and Sand [Magenta] 2678 points - 2.00000000 ||
 * Sand [Magenta] 2857 points and Salt Flat [Blue] 1832 points - 2.00000000 || Snow [Cyan] 257 points and Barren [Sea Green] 1309 points - 2.00000000 ||
 * Cropland [Green] 2190 points and Snow [Cyan] 291 points - 2.00000000 || Water [Red] 822 points and Sand [Magenta] 2678 points - 2.00000000 ||
 * Water [Red] 2036 points and Barren [Sea Green] 1862 points - 2.00000000 || Cropland [Green] 1377 points and Snow [Cyan] 257 points - 2.00000000 ||
 * Water [Red] 2036 points and Sand [Magenta] 2857 points - 2.00000000 || Water [Red] 822 points and Salt Flat [Blue] 1928 points - 2.00000000 ||
 * Snow [Cyan] 291 points and Sand [Magenta] 2857 points - 2.00000000 || Water [Red] 822 points and Cropland [Green] 1377 points - 2.00000000 ||
 * Cropland [Green] 2190 points and Salt Flat [Blue] 1832 points - 2.00000000 || Water [Red] 822 points and Barren [Sea Green] 1309 points - 2.00000000 ||

Lab 10


 * ~ Two Color Multiview for Band 4 ||~ PC Band 4 ||~ Change in NDVI ||
 * [[image:WG_Two_Color_Multiview__Band4.jpg width="482" height="435"]] || [[image:WG_PC_Band4.jpg width="482" height="435"]] || [[image:WG_Cange_In_NDVI.jpg width="482" height="435"]] ||

Lab 9

The first three bands explain 98.8% of the variability seen in the image. There are however errors within the data as seen by the negative minimum reflectance in each band.
 * ~ Basic Stats ||~ Min ||~ Max ||~ Mean ||~ Stdev ||~ Num ||~ Eigenvalue ||~ % of Variability ||
 * = Band 1 ||= -505 ||= 4295 ||= 646.266521 ||= 310.741184 ||= 1 ||= 1300340.087 ||= 0.788319 ||
 * = Band 2 ||= -273 ||= 7588 ||= 1150.769883 ||= 395.233476 ||= 2 ||= 232157.7333 ||= 0.140743 ||
 * = Band 3 ||= -187 ||= 7425 ||= 1403.382856 ||= 475.202785 ||= 3 ||= 105902.251 ||= 0.064202 ||
 * = Band 4 ||= -85 ||= 7232 ||= 2040.638864 ||= 597.501438 ||= 4 ||= 5871.444859 ||= 0.00356 ||
 * = Band 5 ||= -25 ||= 5887 ||= 2344.842797 ||= 655.593202 ||= 5 ||= 4131.986602 ||= 0.002505 ||
 * = Band 6 ||= -11 ||= 5292 ||= 2163.864827 ||= 619.767633 ||= 6 ||= 1106.100065 ||= 0.000671 ||

Bands 1,2 and 3 are highly correlated with each other as are the bands 5 and 6. Band 4 is the least correlated to the other bands.
 * ~ Covariance ||~ Band 1 ||~ Band 2 ||~ Band 3 ||~ Band 4 ||~ Band 5 ||~ Band 6 ||
 * = Band 1 ||= 96560.08333 ||= 118858.4962 ||= 140026.5992 ||= 69259.58701 ||= 111018.9286 ||= 141088.195 ||
 * = Band 2 ||= 118858.4962 ||= 156209.5005 ||= 185398.9371 ||= 124181.3396 ||= 175247.2053 ||= 199073.2147 ||
 * = Band 3 ||= 140026.5992 ||= 185398.9371 ||= 225817.6865 ||= 147026.1006 ||= 221074.8545 ||= 250508.5176 ||
 * = Band 4 ||= 69259.58701 ||= 124181.3396 ||= 147026.1006 ||= 357007.9684 ||= 309278.58 ||= 215454.1762 ||
 * = Band 5 ||= 111018.9286 ||= 175247.2053 ||= 221074.8545 ||= 309278.58 ||= 429802.4459 ||= 373610.3304 ||
 * = Band 6 ||= 141088.195 ||= 199073.2147 ||= 250508.5176 ||= 215454.1762 ||= 373610.3304 ||= 384111.9186 ||
 * ~ Correlation ||~ Band 1 ||~ Band 2 ||~ Band 3 ||~ Band 4 ||~ Band 5 ||~ Band 6 ||
 * = Band 1 ||= 1 ||= 0.967782 ||= 0.948272 ||= 0.373029 ||= 0.544959 ||= 0.732593 ||
 * = Band 2 ||= 0.967782 ||= 1 ||= 0.98713 ||= 0.525852 ||= 0.676337 ||= 0.8127 ||
 * = Band 3 ||= 0.948272 ||= 0.98713 ||= 1 ||= 0.517817 ||= 0.70962 ||= 0.850579 ||
 * = Band 4 ||= 0.373029 ||= 0.525852 ||= 0.517817 ||= 1 ||= 0.789544 ||= 0.581818 ||
 * = Band 5 ||= 0.544959 ||= 0.676337 ||= 0.70962 ||= 0.789544 ||= 1 ||= 0.919508 ||
 * = Band 6 ||= 0.732593 ||= 0.8127 ||= 0.850579 ||= 0.581818 ||= 0.919508 ||= 1 ||
 * = Band 6 ||= 0.732593 ||= 0.8127 ||= 0.850579 ||= 0.581818 ||= 0.919508 ||= 1 ||

image (top). This change in hue can be explained by the interference in the blue wavelength. Due to the shorter wavelength is it more susceptible to interference. ||
 * [[image:WG_FPC_Band_1.png width="400" height="400" caption="PC Band 1. This band has a mofority of the detail that can be seen in the original image."]] || [[image:WG_F_PC_Band_4.png width="400" height="400" caption="PC Band 4. In this image the details are beginning to get lost and the image is looking fuzzy."]] || The Inverse PC image (bottom) has a more gray hue than the original
 * [[image:WG_F_PC_Band_2.png width="400" height="400" caption="PC Band 2. This image shows details that can not been seen in the original image. The vegetation appears as darker areas in the image."]] || [[image:WG_F_PC_Band_5.png width="400" height="400" caption="PC Band 5, Image detail are beginning to get extremely washed out and the fuzzy appearance is starting to dominate."]] || [[image:WG_Aug_4_1991_Orig_Subset.png width="400" height="400" caption="Original Image"]] ||
 * [[image:WG_F_PC_Band_3.png width="400" height="400" caption="PC Band 3. This image is nearly an inverse of PC2. The vegetation is bright whereas in PC2 it was dark."]] || [[image:WG_F_PC_Band_6.png width="400" height="400" caption="PC Band 6. Nearly all of the original image details are gone with only noise remaining."]] || [[image:WG_Inverse_PC_Rotation_Bands_1_2_3.png width="400" height="400" caption="PC Bands 1-3"]] ||

higher kernel resulted in greater color differences and a sharper image. || Sobel filter enhanced the ridgeline and the boundaries between the crops in the top of the image. ||
 * = =Median Filter= ||= =Sobel Filter= ||
 * [[image:WG_Aug_4_1991_Median_3.png width="392" height="392" caption="Median Filter Kernel 3"]] || [[image:WG_Aug_4_1991_Sobel_0_AddBack.png width="392" height="392" caption="Sobel Filter with 0 Addback"]] ||
 * [[image:WG_Aug_4_1991_Median_5.png width="392" height="392" caption="Median Filter Kernel 5"]] || [[image:WG_Aug_4_1991_Sobel_60_AddBack.png width="392" height="392" caption="Sobel Filter with 60 Addback"]] ||
 * Changing the kernel by 2 had very little effect on this image. The

Lab 8
 * = =**August 4, 1991**= ||= =August 29, 2006= ||= =August 24, 2010= ||
 * [[image:WG_Aug_4_1991_Graph.png align="center"]] || [[image:WG_Aug_29_2006_Graph.png align="center"]] || [[image:WG_Aug_24_2010_Graph.png align="center"]] ||
 * [[image:WG_Aug_4_1991_Image.png width="480" height="437"]] || [[image:WG_Aug_29_12006_Image.png width="480" height="429"]] || [[image:WG_Aug_24_2010_Image.png width="480" height="422"]] ||

Lab 7 Start of LandSat investigation


 * WRS-2 Path 139 Row 30 ||
 * Date || Cloud Cover % || Downloadable ||
 * 9/25/2010 || 0 || Yes ||
 * 9/9/2010 || 1 || Yes ||
 * 8/24/2010 || 0 || No ||
 * 6/21/2010 || 17 || No ||
 * 9/1/2007 || 10 || No ||
 * 7/31/2007 || 0 || No ||
 * 6/29/2007 || 20 || No ||
 * 5/12/2007 || 10 || No ||
 * 9/30/2006 || 10 || No ||
 * 9/14/2006 || 0 || No ||
 * 8/29/2006 || 10 || No ||
 * 8/13/2006 || 10 || No ||
 * 7/28/2006 || 10 || No ||
 * 8/4/1991 || 0 || No ||
 * 6/17/1991 || 0 || No ||
 * 6/1/1991 || 0 || No ||
 * 3/29/1991 || 10 || No ||

MODIS tile H24V4 covers portions of a large portion of western Mongolia and Northwestern China.

Lab 5

The time series from 2000-2008 for this tile showed an increase in agriculture and a decrease in forest areas. In Lab 4 (section below) a mean NDVI time series was created. The top five classes in the tile provided little insight into the changes that have been occurring with in the tile. In an attempt to find the changes within the tile, classes located within the positive and negative trend areas were identified and graphed. In Lab 4 the 2000-2008 NDVI time series for five of the predominant classes within the trend zones were graphed. The populated forests showed a decrease while the remote forests and agriculture increased slightly. Lab 5 involved further investigation of the changes that were occurring within the tile using MODIS data. To facilitate further investigation regression and anomaly analysis were performed. The regression analysis revealed a trend very close to zero for all 5 land cover classes that were investigated. The anomaly analyis revealed a significant year to year variation in the forested land cover classes while the irrigated and pasture classes were less variable on a year to year basis. However, the variations in the anomalies all showed an overall increase, indicating an overall greening of those land cover classes. Part of this, at least in the forest regions, can be attributed to China's global warming policies.


 * [[image:WG_Spring_Regression.PNG width="413" height="226" align="center"]] || [[image:WG_Summer_Regression.PNG width="413" height="226" align="center"]] || [[image:WG_Fall_Regression.PNG width="413" height="225" align="center"]] ||
 * [[image:WG_Spring_Anomoly.PNG width="451" height="309"]] || [[image:WG_Summer_Anomoly.PNG width="451" height="307"]] || [[image:WG_Fall_Anomoly.PNG width="451" height="296"]] ||
 * [[image:WG_Spring_Regression_Map.png width="432" height="258" align="center"]] || [[image:WG_Summer_Regression_Map.png width="432" height="258" align="center"]] || [[image:WG_Fall_Regression_Map.png width="432" height="258" align="center"]] ||

Lab 4: Answers to Questions

1. The anthromes file has 121 lines, 368 columns and 1 band The MODIS time series has 201 lines, 613 columns and 16 bands 2. The MODIS time series has almost double the line and columns, indicating higher resolution. My time series has 140 time steps with 16 observations per year. 3. Shrinking the anthrome pixels would result in a "float" data type (i.e. 1.2). Since the anthromes are classified in increments of 1 there would be no way to know what the classification for a cell would be. Whereas the MODIS time series in already a "float" data type, enlarging a cell would not result in an inability to classify.

4. and 5. 6. The 5 dominant classes are: 1. 43 2. 42 3. 63 4. 41 5. 52
 * ~ =__#__= ||~ =__# pixels in area__= ||~ =__% pixels in area__= ||
 * = 11 ||= 142 ||= 0.319% ||
 * = 12 ||= 19 ||= 0.043% ||
 * = 21 ||= 6 ||= 0.013% ||
 * = 22 ||= 24 ||= 0.054% ||
 * = 23 ||= 200 ||= 0.449% ||
 * = 24 ||= 210 ||= 0.472% ||
 * = 25 ||= 9 ||= 0.020% ||
 * = 26 ||= 2 ||= 0.004% ||
 * = 31 ||= 454 ||= 1.020% ||
 * = 32 ||= 89 ||= 0.200% ||
 * = 33 ||= 124 ||= 0.278% ||
 * = 34 ||= 322 ||= 0.723% ||
 * = 35 ||= 62 ||= 0.139% ||
 * = 41 ||= 1793 ||= 4.027% ||
 * = 42 ||= 10739 ||= 24.117% ||
 * = 43 ||= 20448 ||= 45.922% ||
 * = 51 ||= 213 ||= 0.478% ||
 * = 52 ||= 932 ||= 2.093% ||
 * = 61 ||= 77 ||= 0.173% ||
 * = 62 ||= 6 ||= 0.013% ||
 * = 63 ||= 8657 ||= 19.442% ||

4. 42568 out of the 44528 pixels or 95.6% of tile H24V4 is covered by the 5 most dominant classes, accounting for 2,590,320,132,038.24 meters square (259 032 013.2 hectares, 640 082 044.35 acres) 5.For both the Top 5 and the most changing regions the NDVI and coefficient of variation (CoV) appear to be out of phase. Maxima in NDVI are associated with minima in the CoV. CoV is also much noisier than NDVI. 6.Yes, the start and end of the growing season can be determined from the NDVI. When the plants begin to green-up the NDVI increases and as the plants go dormant the NDVI decreases. 7.Just looking at the Top 5, I would not expect to see much of difference in any of the classes except for the remote forests. However, over the next few years as China continues to grow I would expect to see noticeable differences as more infrastructure is established and more of the barren and remote rangelands are converted to agriculture. 8. It is interesting that the NDVI is fairly constant for the barren class but the CoV shows seasonal variation with a gradual increase and smoothing. 9. I found it interesting that the NDVI for the top 5 classes does not change much, however, looking at the regions with change and plotting the NDVI for these classes there is a more noticeable difference. The NDVI range is slowly decreasing with time and the differences between the different classes is decreasing.
 * ~ =//Top 5//= ||~ =//Most Changing in Region//= ||
 * = [[image:WG_NDVI_Plot_Top_5.png]] ||= [[image:WG_NDVI_Plot_Changing_5.png align="center"]] ||
 * = [[image:WG_CoV_Top5.PNG width="594" height="403"]] ||= [[image:WG_CoV_Changing_5.PNG width="640" height="420"]] ||

Hypothesis: Since the positive trends primarily occur in agriculture areas and the negative trends primarily occur in mountainous regions, I believe that the trends are caused by human activity. The positive trends are a result of new or increased agriculture while the negative trends are the result of deforestation. In either case the activity is in support of China's growing economy and population.

The above image is shows NDVI computed for three different dates: May 9, 2010, July 20, 2010, and September 22, 2010. NDVI was used due to the wide range of land cover found within this tile. In the spring image there is very little vegetation, as would be expected following the cold winter months. The summer image shows an increase in vegetation in central Mongolia, northwest China and northeast Kazakhstan possibly associated with the summer Monsoon. The fall image shows a decrease in the summer vegetation.

This tile contains areas of positive and negative trends. The positive trends tend to be associated with agricultural areas (Figure 2) while the negative trends tend to be associated with more mountainous terrain (Figure 3).