Scale issues in remote sensing

✍ Scribed by Weng, JianFeng

• Publisher: Wiley-Blackwell
• Year: 2014
• Tongue: English
• Leaves: 352
• Category: Library

✦ Table of Contents

Scale Issues in Remote Sensing......Page 1
Contents......Page 7
Acknowledgments......Page 11
Contributors......Page 13
Author Biography......Page 17
Introduction......Page 19
1.1 SCALE ISSUES IN REMOTE SENSING......Page 21
1.2 CHARACTERIZING, MEASURING, ANALYZING, AND MODELING SCALE......Page 23
REFERENCES......Page 27
Part I: Scale, Measurement, Modeling, and Analysis......Page 29
2.1 SCALE IN REMOTE SENSING......Page 31
2.2 FUSION METHODS......Page 32
2.3 EHLERS FUSION......Page 33
2.4.2 Multisensor Image Fusion......Page 35
2.4.3 Image Fusion with Variable Spatial Resolution......Page 40
2.5 FUSION OF ELECTRO-OPTICAL AND RADAR DATA......Page 44
REFERENCES......Page 49
3.1 INTRODUCTION......Page 52
3.2 SOME BACKGROUND ON NASA TIR SATELLITE INSTRUMENTS......Page 54
3.3 USE OF TIR DATA IN ANALYSIS LANDSCAPE ECOLOGICAL CHARACTERIZATION......Page 55
3.4 ESTIMATING LAND SURFACE ENERGY BUDGETS USING REMOTE SENSING DATA......Page 56
3.5 EVAPORATION/EVAPOTRANSPIRATION/SOIL MOISTURE......Page 58
3.6 DROUGHT MONITORING......Page 63
3.7 DESERT OR ARID ENVIRONMENTS......Page 64
3.8 THERMAL ENERGY THEORY AS APPLIED TO ECOLOGICAL THERMODYNAMICS......Page 65
3.8.1 Beta Index as Measure of Surface Temperature Spatial Variation......Page 68
3.8.2 Thermal Response Number......Page 69
3.8.3 Ecological Complexity and Ecological Health......Page 70
3.9 CONCLUDING REMARKS......Page 71
REFERENCES......Page 73
4.1 INTRODUCTION......Page 79
4.2 URBAN LAND MAPPING AND CATEGORICAL SCALE......Page 80
4.3 OBSERVATIONAL SCALE AND IMAGE SCENE MODELS......Page 83
4.4 OPERATIONAL SCALE......Page 85
4.5 SCALE DEPENDENCY OF URBAN PHENOMENA......Page 86
4.5.1 Spatial Variations of Land Surface Temperature at Multiple Census Scales......Page 87
4.5.2 Population Estimation......Page 89
REFERENCES......Page 91
Part II: Scale in Remote Sensing of Plants and Ecosystems......Page 97
5.1 INTRODUCTION......Page 99
5.2.1 Need for Multiplatform Methods in Detecting Insect Damage to Forests......Page 101
5.2.2 Background on Tamarix and Tamarix Leaf Beetles on Western U.S. Rivers......Page 102
5.2.3 Phenocams Combine High Spatial and Temporal Resolution with Limited Field of View......Page 104
5.2.4 Landsat Imagery to Compare NDVI and ET Before and After Beetle Arrival along Six River Systems......Page 106
5.2.5 MODIS Imagery to Compare EVI and ET Before and After Beetle Arrival......Page 112
5.3.2 Precision versus Accuracy: Importance of Multiple Independent Methods for Measuring Biophysical Variables......Page 116
5.3.3 Example of Multiple Sources of Measurements to Constrain Accuracy of ET Estimates......Page 117
REFERENCES......Page 120
6.1 INTRODUCTION......Page 126
6.2 METHODS......Page 130
6.3 STUDY AREA AND DATA SETS......Page 132
6.4 RESULTS......Page 134
6.5 CONCLUSIONS AND DISCUSSION......Page 138
REFERENCES......Page 141
7.1 INTRODUCTION......Page 144
7.3.1 Field Data Collection......Page 146
7.3.4 Scaling Up from Leaf to Canopy and Landscape Levels......Page 148
7.4.1 Chlorophyll Content and Laboratory Remote Sensing Data at Leaf Scale......Page 149
7.4.2 Chlorophyll Content and Remote Sensing Data at Canopy Scale......Page 150
7.4.3 Chlorophyll Content and Remote Sensing Data at Landscape Scale......Page 151
7.5 CONCLUSIONS AND DISCUSSION......Page 152
REFERENCES......Page 154
Part III: Scale and Land Surface Processes......Page 157
8.1 INTRODUCTION......Page 159
8.1.1 Hierarchic al Theo ries......Page 161
8.1.2 Geographic Object-Based Hierarchies......Page 163
8.1.3 Multiscale Analysis......Page 164
8.1.4 Image Objects......Page 165
8.2.1 Study Site and Data Set......Page 166
8.2.2 Linear Scale Spa ce......Page 167
8.2.3 Blob–Feature Detection......Page 169
8.3.1 Integrating Hierarch Theory and Scale Space......Page 174
8.3.2 SS Events and Domain Thresholds: What Does a Scale Domain Look Like and Where Do We Go from Here?......Page 178
8.4 CONCLUSION......Page 180
ACKNOWLEDGMENTS......Page 181
REFEREN CES......Page 182
9.1 INTRODUCTION......Page 188
9.2.1 Multiscale Object-Based Image Analysis......Page 190
9.2.2 Scale-Space Remote Sensing Data Representations......Page 191
9.3 METHODOLOGY......Page 193
9.3.2 Multiscale Segmentation Based on Advanced Edge Features......Page 195
9.3.3 Kernel-Based Classification......Page 199
9.4 EVALUATION AND DISCUSSION......Page 200
9.4.1 Very High Spatial Resolution Airborne Imagery......Page 202
9.4.2 Radar Satellite Imagery......Page 204
9.4.3 Multispectral Remote Sensing Data......Page 205
9.4.4 Hyperspectral Remote Sensing Data......Page 208
9.5 CONCLUSIONS AND FUTURE PERSPECTIVES......Page 209
REFERENCES......Page 210
10.1 INTRODUCTION......Page 215
10.2 BRIEF OVERVIEW......Page 217
10.3.1 Application Oriented......Page 219
10.3.2 Algorithm Oriented......Page 220
10.4 OPTIMUM SCALES IN OBIA......Page 222
10.5 CONCLUSIONS......Page 224
REFERENCES......Page 225
Part IV: Scale and Land Surface Patterns......Page 233
11.1 INTRODUCTION......Page 235
11.2.1 Study Area......Page 236
11.2.2 Data Processing......Page 237
11.2.3 Results......Page 238
11.3 SUMMARY......Page 245
REFEREN CES......Page 246
12.1 INTRODUCTION......Page 248
12.2 STUDY AREA AND DATA SETS......Page 251
12.3 LANDSCAPE CHARACTERIZATION AT MULTIPLE SCALES BY FRACTAL MEASUREMENT......Page 254
12.4.1 Fractal Analysis Using Raw Images......Page 255
12.4.2 Fractals Analysis Using LULC Maps......Page 257
12.4.3 Fractal Analysis Using Resampled Raw Red Images......Page 261
12.4.4 Fractal Analysis for Temporal Change Characterization......Page 266
12.5 DISCUSSION AND CONCLUSION......Page 267
REFERENCES......Page 269
13.1 BACKGROUND ON PRECIPITATION SCALE......Page 271
13.2.2 Spatiotemporal Scales of Precipitation......Page 272
13.3.1 Uncertainty Quantification Framework......Page 273
13.3.2 Uncer tainty Quantification o f Satellite Precipit ation Estimation......Page 274
13.3.3 Uncertainty Propagation from Precipitation Data to Hydrological Prediction......Page 275
13.4 CONCLUSIONS......Page 280
REFERENCES......Page 281
Part V: New Frontiers in Earth Observation Technology......Page 283
14.1 INTRODUCTION......Page 285
14.2.1 Scale-Space Representations......Page 287
14.2.2 Multiscale Hermite Transform......Page 288
14.2.3 Local Spatial Rotation......Page 290
14.4.1 Point-to-Raster Conversion......Page 292
14.4.2 MDHT with Directional Erosion......Page 293
14.4.3 Parameter Selection......Page 295
14.4.4 Ground Mask and DTM Generation......Page 297
14.4.5 Repeat Pass and Point Labeling......Page 298
14.5 FILTERING TESTS......Page 299
14.6 DISCUSSION......Page 300
REFERENCES......Page 301
15.1 INTRODUCTION......Page 303
15.2 FIELD SPECTRORADIOMETRY......Page 305
15.2.1 Factors Affecting Field Spectroradiometric Measurements......Page 307
15.2.2 Developing Field Spectral Library......Page 310
15.2.3 Statistical Approaches in Field Spectroradiometry for Vegetation Discrimination......Page 314
15.3.1 Introduction......Page 320
15.3.2 Land Cover Mapping from Hyperspectral Remote Sensing Imagery......Page 323
15.3.3 Hyperspectral Remote Sensing of Land Cover Mapping: Case Studies......Page 326
15.3.4 Importance of Observation Scale in Land Cover Extraction from Remote Sensing......Page 328
15.4 FINAL REMARKS......Page 329
REFERENCES......Page 330
Index......Page 339

✦ Subjects

Fernerkundung;Mathematisches Modell;Ökologie;Skalierung;Remote sensing;Scaling (Social sciences);Ökologie