Remote Sensing and GIS Accuracy Assessment - Chapter 17 potx
Remote Sensing and GIS Accuracy Assessment - Chapter 17 potx
... agreement and disagreement.Table 17. 1a and Table 17. 1b represent the standard confusion matrix for the comparison ofCOM1 and COM2 vs. REF. The agreement in Table 17. 1a and Table 17. 1b is 70% and ... Jr. and Beth Suedmeyer CONTENTS 17. 1 Introduction 233 17. 1.1 Map Comparison 233 17. 1.2 Puzzle Example 234 17. 2 Methods 236 17. 2.1 Example Data 236 17. 2.2 Data Requirements and Notation 236 17. 2.3 ... Function 239 17. 2.4 Agreement Expressions and Information Components 239 17. 2.5 Agreement and Disagreement 242 17. 2.6 Multiple Resolutions 244 17. 3 Results 245 17. 4 Discussion 248 17. 4.1 Common...
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Remote Sensing and GIS Accuracy Assessment - Chapter 6 potx
... one 6-band image for 1986 (MSSspectral bands 1, 2, 3, 4, and tasseled-cap bands 1 and 2), a 10-band image for 1994 (TM spectralbands 1–7 and tasseled-cap bands 1, 2, and 3), and an 11-band image ... & Francis Group, LLC 76 REMOTE SENSING AND GIS ACCURACY ASSESSMENT from economic, agronomic, and environmental perspectives, there is a need to link land-cover (LC)change in Amazonia ... Siqueira, and C. Rodriquez-Pedraza, Remote sensing and GIS at farm level: demography and deforestation in the Brazilian Amazon, Photogram.Eng. Remote Sens. , 65, 1311–1320, 1999. Moran, E.F. and...
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Remote Sensing and GIS Accuracy Assessment - Chapter 7 potx
... REMOTE SENSING AND GIS ACCURACY ASSESSMENT APPENDIX AMRLC Classification Scheme and Class DefinitionsThe MRLC program utilizes a consistent classification scheme for all EPA regions at approx-imately ... geographic Region IV.An accuracy assessment is an integral component of any remote sensing- based mapping project.Thematic accuracy assessment consists of measuring the general and categorical qualities ... 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
... LLC 156 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 146 REMOTE SENSING AND GIS ACCURACY ASSESSMENT remotely sensed imagery can evaluate the appropriateness of different maps on their particularapplication and subsequently decide ... RangelandOverall accuracy= 73.3% , Kappa=43.9% L1443_C11.fm Page 157 Saturday, June 5, 2004 10:32 AM© 2004 by Taylor & Francis Group, LLC 154 REMOTE SENSING AND GIS ACCURACY ASSESSMENT ...
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Remote Sensing and GIS Accuracy Assessment - Chapter 2 doc
... 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 ... developedfor pixel-based assessments. Most of the chapter will focus on site-specific accuracy, which is accuracy determined on a pixel-by-pixel basis. In contrast, nonsite-specific accuracy provides...
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Remote Sensing and GIS Accuracy Assessment - Chapter 4 pot
... 46-cm wooden stake.The stakes were used in TRAC measurements as walking-pace and distance markers. Hemisphericalphotography transects were staked and marked at the 1 0-, 3 0-, 5 0-, 7 0-, and 90-m ... June 5, 2004 10 :17 AM© 2004 by Taylor & Francis Group, LLC 50 REMOTE SENSING AND GIS ACCURACY ASSESSMENT quadrant and subplot by recording slope, aspect, elevation, and soil type. Digital ... Page 57 Saturday, June 5, 2004 10 :17 AM© 2004 by Taylor & Francis Group, LLC 46 REMOTE SENSING AND GIS ACCURACY ASSESSMENT crown), whorls, branches, and shoots. The TRAC instrument was...
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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 ... Deterministic and Fuzzy Error Matrix 16812.4 Results 16812.5 Discussion and Conclusions 170 12.6 Summary 171 References 171 Appendix A: Classification Rules 172 12.1 INTRODUCTION As remote sensing ... 166 REMOTE SENSING AND GIS ACCURACY ASSESSMENT • How should the samples be chosen? The choice and distribution of samples, or sampling scheme,is...
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Remote Sensing and GIS Accuracy Assessment - Chapter 13 doc
... 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 ... purpose 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...
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Remote Sensing and GIS Accuracy Assessment - Chapter 14 pptx
... Pinyon-Juniper-Shrub Live Oak-Mixed ShrubWoodland Pinyon-Juniper (Mixed)/Mixed Chaparral-ScrubWoodland Pinyon-Juniper-Mixed ShrubWoodland Pinyon-Juniper-Mixed Grass-ScrubWoodland Pinyon-Juniper ... Fir-Mixed Conifer (Madrean)Forest Ponderosa Pine (Madrean)Woodland Pinyon-Juniper-Shrub/Ponderosa Pine-Gambel Oak-JuniperWoodland Pinyon-Juniper/Sagebrush/Mixed Grass-ScrubWoodland Pinyon-Juniper-Shrub ... (Mixed)Woodland Encinal Mixed OakWoodland Encinal Mixed Oak-Pinyon-JuniperWoodland Encinal Mixed Oak-Mexican Pine-JuniperWoodland Encinal Mixed Oak-Mexican Mixed PineWoodland Encinal Mixed Oak-MesquiteWoodland...
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Remote Sensing and GIS Accuracy Assessment - Chapter 15 docx
... Group, 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 ... (means of user’s accuracy and producer’s accuracy) and the REA (differences between user’s accuracy and producer’s accu-racy). To reliably characterize landscape conditions using landscape indices, ... data for the easternU.S. was 81% for Anderson Level I (i.e., water, urban, barren land, forest, agricultural land, wetland, and rangeland) and was 60% for Anderson Level II (Vogelmann et al.,...
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