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 of COM1 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...
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... one 6-band image for 1986 (MSS spectral bands 1, 2, 3, 4, and tasseled-cap bands 1 and 2), a 10-band image for 1994 (TM spectral bands 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...
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... REMOTE SENSING AND GIS ACCURACY ASSESSMENT APPENDIX A MRLC Classification Scheme and Class Definitions The 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...
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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 particul...
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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), so these 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,...
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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. Hemispherical photography 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,...
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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 168 12.4 Results 168 12.5 Discussion and Conclusions 170 12.6 Summary 171 References 171 Appendix A: Classification Rules 172 12.1 I...
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Remote Sensing and GIS Accuracy Assessment - Chapter 13 doc
... ACCURACY AND ESTIMATING LANDSCAPE INDICATORS 183 Figure 13.3 presents six fuzzy cover-type-conversion maps of water-to-forested upland, devel- oped-to-forested upland, barren-to-forested upland, ... distinct Figure 13.3 Fuzzy cover-type-conversion maps of: (a) water-to-forested upland, (b) developed-to-forested upland, (c) barren-to-forested upland, (d) forested upland-to-forested upland,...
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Remote Sensing and GIS Accuracy Assessment - Chapter 14 pptx
... Pinyon-Juniper-Shrub Live Oak-Mixed Shrub Woodland Pinyon-Juniper (Mixed)/Mixed Chaparral-Scrub Woodland Pinyon-Juniper-Mixed Shrub Woodland Pinyon-Juniper-Mixed Grass-Scrub Woodland Pinyon-Juniper ... Fir-Mixed Conifer (Madrean) Forest Ponderosa Pine (Madrean) Woodland Pinyon-Juniper-Shrub/Ponderosa Pine-Gambel Oak-Juniper Woodland Pinyon-Juniper/Sagebrush/Mixed Grass-Scrub Woodland Pinyon-J...
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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...
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