Urban Remote Sensing. Группа авторов

RNNs MODEL FOR LAND CLASSIFICATION 8.5 DISCUSSION AND CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 9: Google Earth Engine Advancing Urban Land Change Science 9.1 INTRODUCTION 9.2 GEE EVOLUTION IN URBAN STUDIES 9.3 EXAMPLES 9.4 DISCUSSION 9.5 CONCLUSIONS REFERENCES CHAPTER 10: Use of Image Endmember Libraries for Multi‐Sensor, Multi‐Scale, and Multi‐Site Mapping of Urban Areas 10.1 INTRODUCTION 10.2 IMAGE ENDMEMBER LIBRARIES FOR URBAN MAPPING 10.3 EXTRACTION AND IDENTIFICATION OF IMAGE ENDMEMBER SPECTRA 10.4 PRUNING OF IMAGE ENDMEMBER LIBRARIES 10.5 USE OF IMAGE ENDMEMBER LIBRARIES FOR MEDIUM‐RESOLUTION MAPPING OF URBAN LAND COVER COMPOSITION 10.6 USE OF MULTI‐SITE SPECTRAL LIBRARIES FOR VIS MAPPING ACROSS CITIES 10.7 TOWARD A GENERIC URBAN LIBRARY MANAGEMENT TOOL ACKNOWLEDGMENTS REFERENCES CHAPTER 11: Satellite Monitoring of Urbanization and Environmental Impacts in Stockholm, Sweden, Through a Multiscale Approach 11.1 INTRODUCTION 11.2 A BRIEF REVIEW OF REMOTE SENSING‐BASED MULTISCALE ANALYSIS 11.3 STUDY AREAS AND DATA DESCRIPTION 11.4 METHODOLOGY 11.5 RESULTS 11.6 DISCUSSION 11.7 CONCLUSIONS REFERENCES

      11  PART IV: Urban Socioeconomic Applications CHAPTER 12: Global Monitoring with the Atlas of Urban Expansion 12.1 INTRODUCTION 12.2 ASSEMBLING THE GLOBAL SAMPLE OF CITIES 12.3 MEASURING URBAN EXTENT 12.4 URBAN EXTENT GROWTH RATE, POPULATION GROWTH RATE, AND THE CHANGE IN LAND CONSUMPTION PER CAPITA 12.5 ASSESSING ACCURACY WITH URBAN EXTENT LOCALES 12.6 CLASSIFICATION ACCURACY AND MAP AGREEMENT 12.7 CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 13: Effect of Image Classification Accuracy on Dasymetric Population Estimation 13.1 INTRODUCTION 13.2 ASSESSING THE ACCURACY OF IMAGE CLASSIFICATION 13.3 DASYMETRIC MAPPING AND AREAL INTERPOLATION 13.4 STUDY AREA AND DATA SOURCES 13.5 METHODS 13.6 RESULTS 13.7 CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 14: Mapping the Morphology of Urban Deprivation 14.1 BACKGROUND 14.2 DEPRIVATION: AN AREA‐BASED AND RELATIVE CONCEPT 14.3 DATA SOURCES: OVERVIEW OF EO‐DATA IN RELATION TO THEIR BENEFITS AND COSTS 14.4 TOWARD A GLOBAL MAPPING PRODUCT: PEOPLE‐PIXELS‐PRIVACY 14.5 MAPPING METHODS: ACHIEVING SCALABILITY AND TRANSFERABILITY 14.6 EXAMPLES OF MAPPING URBAN DEPRIVATION 14.7 CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 15: The City is the Medium and Satellite Imagery Are a Prism 15.1 INTRODUCTION 15.2 OPPORTUNITIES FOR SATELLITE‐BASED MONITORING OF URBAN CONFLICT DAMAGE 15.3 (RE‐)SITUATING URBAN CONFLICT DAMAGE 15.4 THEORIZING CHANGE IN URBAN CONFLICT DAMAGE MONITORING 15.5 CONCLUSIONS REFERENCES

      12  PART V: Urban Environmental Applications CHAPTER 16: US Cities in the Dark 16.1 INTRODUCTION 16.2 NASA BLACK MARBLE DATA 16.3 CO₂ EMISSION MODELING