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Remote Sensing and GIS Accuracy Assessment - Chapter 6 potx

Remote Sensing and GIS Accuracy Assessment - Chapter 6 potx

Remote Sensing and GIS Accuracy Assessment - Chapter 6 potx

... spectral bands and tasseled-capbands were created in ERDAS Imagine 8.4. This resulted in one 6- band image for 19 86 (MSSspectral bands 1, 2, 3, 4, and tasseled-cap bands 1 and 2), a 10-band image ... Collection 79 6. 2.3 Data Processing 80 6. 2.4 Image Classification 81 6. 2.5 Accuracy Assessment 81 6. 3 Results and Discussion 82 6. 3.1 Classified Imagery and Land-Cover Change 82 6. 3.2 Map Accuracy Assessment ... 1994 (TM spectralbands 1–7 and tasseled-cap bands 1, 2, and 3), and an 11-band image for 1999 (ETM + spectralbands 1–8 and tasseled-cap bands 1–3). The 15-m panchromatic band in the 1999...
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Remote Sensing and GIS Accuracy Assessment - Chapter 7 potx

Remote Sensing and GIS Accuracy Assessment - Chapter 7 potx

... 42.3 56. 4 42.3 53.8 51.3 66 .74.1 100.0 46. 5 55 .6 60 .6 68.7 79.8 83.84.2 100.0 55.7 63 .9 72.1 78.7 85.2 88.54.3 100.0 27.2 43.0 29.8 48.2 64 .9 82.08.1 100.0 27.2 37.9 26. 2 36. 9 44.7 62 .18.2 ... 44.5 64 .1 43.8 64 .8 64 .8 79.78.5 100.0 31.3 46. 6 25.2 40.5 42.7 69 .59.1 100.0 44.8 55.2 49.0 61 .5 70.8 87.59.2 100.0 66 .3 73.9 63 .0 72.8 72.8 80.4TotalPercentage100.0 44.0 55.9 45.7 58.3 66 .8 ... surface, (4) agriculture and other grasslands,(5) forest (upland), and (6) wetland (woody or nonwoody). The overall accuracies for the Level I and II classes were 66 % and 44%, respectively. Table...
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Remote Sensing and GIS Accuracy Assessment - Chapter 11 potx

Remote Sensing and GIS Accuracy Assessment - Chapter 11 potx

... LLC 1 56 REMOTE SENSING AND GIS ACCURACY ASSESSMENT Figure 11.2 Conditional probabilities for forest (a), shrub (b), and rangeland (c), based on Gaussian maximum likelihood (GML), and corresponding ... Francis Group, LLC 1 46 REMOTE SENSING AND GIS ACCURACY ASSESSMENT remotely sensed imagery can evaluate the appropriateness of different maps on their particularapplication and subsequently decide ... multivariate Gaussian with mean and covariance derived from raw TM bands. Let and denote the (6 ¥ 1) vector of class-conditional mean and the (6 ¥ 6) matrix of class-conditional (co)variances...
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Remote Sensing and GIS Accuracy Assessment - Chapter 17 potx

Remote Sensing and GIS Accuracy Assessment - Chapter 17 potx

... 6 0.000. 06 0.130.190.250.310.380.440.500. 56 0 .63 0 .69 0.750.810.880.941.000.000. 06 0.130.190.250.310.380.440.500. 56 0 .63 0 .69 0.750.810.880.941.000.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.320.350.370.400.430.450.480.510.540.570.590 .62 0 .65 0 .68 0.700.730. 76 L1443_C17.fm Page 244 Saturday, June 5, 2004 10:45 AM© 2004 by Taylor & Francis Group, LLC 240 REMOTE SENSING AND GIS ACCURACY ASSESSMENT the ... 3RESOLUTION 12RESOLUTION 6 0.000. 06 0.130.190.250.310.380.440.500. 56 0 .63 0 .69 0.750.810.880.941.000.000. 06 0.130.190.250.310.380.440.500. 56 0 .63 0 .69 0.750.810.880.941.000.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.740.320.350.370.400.430.450.480.510.540.570.590 .62 0 .65 0 .68 0.700.730. 76 L1443_C17.fm ... Francis Group, LLC 234 REMOTE SENSING AND GIS ACCURACY ASSESSMENT considered to have the highest accuracy is used to evaluate the map of questionable accuracy. Throughout this chapter, the term...
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Remote Sensing and GIS Accuracy Assessment - Chapter 2 doc

Remote Sensing and GIS Accuracy Assessment - Chapter 2 doc

... bias in classification accuracy assessment, Int. J. Remote Sens. ,17, 1 261 –1 266 , 19 96. Janssen, L.L.F. and F.J.M. van der Wel, Accuracy assessment of satellite derived land-cover data: a review, ... LLC 22 REMOTE SENSING AND GIS ACCURACY ASSESSMENT for accuracy assessment supposedly represent higher-quality data (i.e., less measurement error), sothese data may serve as a stand-alone basis ... data analysis for a land-use and land-cover map, Photogram, Eng, Remote Sens. , 47, 343–351, 1981.Foody, G.M., Status of land cover classification accuracy assessment, Remote Sens. Environ...
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Remote Sensing and GIS Accuracy Assessment - Chapter 4 pot

Remote Sensing and GIS Accuracy Assessment - Chapter 4 pot

... 46 REMOTE SENSING AND GIS ACCURACY ASSESSMENT crown), whorls, branches, and shoots. The TRAC instrument was developed at the Canada Centrefor Remote Sensing (CCRS) to address canopy nonrandomness ... Group, LLC 56 REMOTE SENSING AND GIS ACCURACY ASSESSMENT Eidenshink, J.C. and R.H. Haas, Analyzing vegetation dynamics of land systems with satellite data, GeocartoInt. , 7, 53 61 , 1992.Fassnacht, ... Fairystone and Umstead sites. The 120 0- ¥ 1200-m regionapproximates a MODIS LAI pixel, with a 100-m buffer on each edge. Quadrants are randomlylocated within each 60 0- ¥ 60 0-m quarter....
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Remote Sensing and GIS Accuracy Assessment - Chapter 12 ppsx

Remote Sensing and GIS Accuracy Assessment - Chapter 12 ppsx

... labeling accuracy assessment reference sites. L1443_C12.fm Page 167 Saturday, June 5, 2004 10:33 AM© 2004 by Taylor & Francis Group, LLC 168 REMOTE SENSING AND GIS ACCURACY ASSESSMENT ... 166 REMOTE SENSING AND GIS ACCURACY ASSESSMENT • How should the samples be chosen? The choice and distribution of samples, or sampling scheme,is ... Congalton and Biging, 1992; Gong and Chen, 1992; Lowell, 1992). L1443_C12.fm Page 163 Saturday, June 5, 2004 10:33 AM© 2004 by Taylor & Francis Group, LLC 164 REMOTE SENSING AND GIS ACCURACY...
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Remote Sensing and GIS Accuracy Assessment - Chapter 13 doc

Remote Sensing and GIS Accuracy Assessment - Chapter 13 doc

... ofglobal rule-to-rule comparison. For instance, the wetlands-to-forested upland possibility of a wet-lands-labeled pixel in a low -accuracy, wetlands-dominant area (rule 6- a) was double (0 .69 vs. 0.33)the ... ACCURACY AND ESTIMATING LANDSCAPE INDICATORS 183Figure 13.3 presents six fuzzy cover-type-conversion maps of water-to-forested upland, devel-oped-to-forested upland, barren-to-forested upland, ... distinctFigure 13.3 Fuzzy cover-type-conversion maps of: (a) water-to-forested upland, (b) developed-to-forestedupland, (c) barren-to-forested upland, (d) forested upland-to-forested upland, (e) herbaceousplanted/cultivated-to-forested...
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Remote Sensing and GIS Accuracy Assessment - Chapter 14 pptx

Remote Sensing and GIS Accuracy Assessment - Chapter 14 pptx

... Ponderosa Pine-Mixed Conifer 23 3 13.0 16 69 .6 13 56. 517 Ponderosa Pine-Gambel Oak-Juniper/Pinyon-Juniper Complex 36 6 16. 7 20 55 .6 14 38.918 Ponderosa Pine-Pinyon-Juniper 39 2 5.1 29 74.4 27 69 .220 ... Pinyon-Juniper-Shrub Live Oak-Mixed ShrubWoodland Pinyon-Juniper (Mixed)/Mixed Chaparral-ScrubWoodland Pinyon-Juniper-Mixed ShrubWoodland Pinyon-Juniper-Mixed Grass-ScrubWoodland Pinyon-Juniper ... Pinyon-Juniper-Shrub/Ponderosa Pine-Gambel Oak-Juniper21 0 0.0 10 47 .6 10 47 .6 7 Pinyon-Juniper/Sagebrush/Mixed-Grass-Scrub34 4 11.8 19 55.9 15 44.18 Pinyon-Juniper-Shrub Live Oak-Mixed...
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Remote Sensing and GIS Accuracy Assessment - Chapter 15 docx

Remote Sensing and GIS Accuracy Assessment - Chapter 15 docx

... 86 88 90 92 94 96 AWMPFD0510152082 84 86 88 90 92 94 96 MPFD−8 6 −4−2082 84 86 88 90 92 94 96 MSI−45−40−35−30−25−20−1582 84 86 88 90 92 94 96 ED030 60 9012015082 84 86 ... 96 MNN−50−40−30−20−10082 84 86 88 90 92 94 96 AWMPFD24 6 81082 84 86 88 90 92 94 96 MPFD−7 6 −5−4−3−282 84 86 88 90 92 94 96 MSI−45−40−35−30−25−20−1582 84 86 88 90 92 94 96 ED030 60 9012015082 ... LLC 218 REMOTE SENSING AND GIS ACCURACY ASSESSMENT Figure 15.5 The relative errors of 12 selected landscape indices for forest class (y-axis) against the REA (x-axis). Figure 15 .6 A comparison...
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