Index
A
Aerial imagery, 44, 50, 53, 56, 58, 59, 65
Aerial orthophotos, 92
Aerial survey, 177–178, 195
Aerotriangulation, 178, 179
Agent-based models (ABM), 5, 9, 11, 13
Airborne laser survey, 138–140, 142, 146,
147, 153
Alps, 174
Al-Qala Citadel, 41–43, 45, 49–54, 56–57,
59, 60
Anderson classification scheme, 270–272
Arase Station, 232, 233, 238
ArcGIS, 22, 182, 222–225
Artificial neural networks (ANNs), 5, 6, 13
Aso Mountain, 234, 237
Associated area, 91
Association, 294, 297, 298
Atlanta, 70, 269, 270
Austria, 173–195
Automated landform classification, 142–144,
148–151
Automated Meteorological Data Acquisition
System (AmeDAS), 223–226, 231
B
Bayesian statistics, 5
Biodiversity, 13, 137–153
C
Calibration, 22–23, 25–27, 29, 58, 226,
232, 234
Carbon dioxide (CO 2 ) emissions, 241–260
Categorical accuracy, 275
Cellular automata model (CA), 7–8, 11, 13
Change detection, 64–71, 77–80, 302, 303
Chikugo River, 232, 238
City development, 56, 59
City growth, 37–60
City map, 93–95, 108
Climate change, 12, 17–32, 64, 114, 222,
242–245, 255, 259
adaptation, 242, 243, 255
mitigation, 242–245, 254, 255, 259
Cluster analysis, 205–206, 212–214, 217
Coastal Dynamics Index (CDI), 204, 208,
210–213
Coastal erosion, 199–219
Co-benefit, 243, 245
Coefficient of determination, 102, 308
Comma-separated values (CSV), 224
Compact city, 243–245, 254–256, 259
Compatible climate change adaptation
and mitigation measures, 244
Complex adaptive system (CAS), 7
Complexity, 4, 5, 9, 11, 13,
52, 222
Contrast stretching, 292–293
Conversion of Land Use and its Effects
at Small regional extent (CLUE-S)
model, 5, 12
Convex, 143, 144, 148, 149
Cophenetic correlation coefficient (CPCC),
211, 212, 214
Core area, 91, 92, 96, 97
Corine Land Cover, 39, 40, 48
© Springer Science+Business Media Dordrecht 2015
J. Li, X. Yang (eds.), Monitoring and Modeling of Global Changes:
A Geomatics Perspective, Springer Remote Sensing/Photogrammetry,
DOI 10.1007/978-94-017-9813-6
315
A
Aerial imagery, 44, 50, 53, 56, 58, 59, 65
Aerial orthophotos, 92
Aerial survey, 177–178, 195
Aerotriangulation, 178, 179
Agent-based models (ABM), 5, 9, 11, 13
Airborne laser survey, 138–140, 142, 146,
147, 153
Alps, 174
Al-Qala Citadel, 41–43, 45, 49–54, 56–57,
59, 60
Anderson classification scheme, 270–272
Arase Station, 232, 233, 238
ArcGIS, 22, 182, 222–225
Artificial neural networks (ANNs), 5, 6, 13
Aso Mountain, 234, 237
Associated area, 91
Association, 294, 297, 298
Atlanta, 70, 269, 270
Austria, 173–195
Automated landform classification, 142–144,
148–151
Automated Meteorological Data Acquisition
System (AmeDAS), 223–226, 231
B
Bayesian statistics, 5
Biodiversity, 13, 137–153
C
Calibration, 22–23, 25–27, 29, 58, 226,
232, 234
Carbon dioxide (CO 2 ) emissions, 241–260
Categorical accuracy, 275
Cellular automata model (CA), 7–8, 11, 13
Change detection, 64–71, 77–80, 302, 303
Chikugo River, 232, 238
City development, 56, 59
City growth, 37–60
City map, 93–95, 108
Climate change, 12, 17–32, 64, 114, 222,
242–245, 255, 259
adaptation, 242, 243, 255
mitigation, 242–245, 254, 255, 259
Cluster analysis, 205–206, 212–214, 217
Coastal Dynamics Index (CDI), 204, 208,
210–213
Coastal erosion, 199–219
Co-benefit, 243, 245
Coefficient of determination, 102, 308
Comma-separated values (CSV), 224
Compact city, 243–245, 254–256, 259
Compatible climate change adaptation
and mitigation measures, 244
Complex adaptive system (CAS), 7
Complexity, 4, 5, 9, 11, 13,
52, 222
Contrast stretching, 292–293
Conversion of Land Use and its Effects
at Small regional extent (CLUE-S)
model, 5, 12
Convex, 143, 144, 148, 149
Cophenetic correlation coefficient (CPCC),
211, 212, 214
Core area, 91, 92, 96, 97
Corine Land Cover, 39, 40, 48
© Springer Science+Business Media Dordrecht 2015
J. Li, X. Yang (eds.), Monitoring and Modeling of Global Changes:
A Geomatics Perspective, Springer Remote Sensing/Photogrammetry,
DOI 10.1007/978-94-017-9813-6
315