Urban Remote Sensing. Группа авторов

16.4 RESULTS 16.5 EXAMINING BLACK MARBLE NTL DATA AS ESTIMATOR OF CO₂ EMISSIONS 16.6 NEW ADVANTAGES IN NTL‐BASED MAPPING, CHALLENGES, AND FUTURE PERSPECTIVES 16.7 CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 17: Thermal Infrared Imaging of the Urban Landscape to Understand Urban Microclimate 17.1 INTRODUCTION 17.2 METHODOLOGY 17.3 STUDY SITE AND DATA 17.4 RESULTS 17.5 DISCUSSION AND CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 18: Monitoring Air Pollution in the Urban Environment by Remote Sensing 18.1 AIR POLLUTION MONITORING PROBLEM: THE COMPLEXITY 18.2 SATELLITE RETRIEVED AOD vs GROUND‐BASED PM2.5 MEASUREMENTS: BASIC DEFINITIONS 18.3 APPLYING DIFFERENT SATELLITE AOD RETRIEVALS OVER THE URBAN ENVIRONMENT: DATA COVERAGE AND SPATIAL RESOLUTION 18.4 SATELLITE‐RETRIEVED AOD COMPARED TO GROUND‐BASED AND OTHER MEASUREMENTS AVAILABLE 18.5 MODELING PM_2.5 USING SATELLITE AND LAND USE DATA 18.6 MODEL ACCURACY ASSESSMENT 18.7 LEARNING AIR POLLUTION FROM PUBLICLY AVAILABLE SOURCES: SEVERAL EXAMPLES 18.8 CURRENT AND FUTURE STEPS AND NEW TECHNOLOGIES: BEYOND THE SATELLITE MONITORING REFERENCES CHAPTER 19: Characterizing After‐Rain Standing Waters in Urban Built Environments Through a Multilevel Image Analysis 19.1 INTRODUCTION 19.2 MATERIALS AND METHODS 19.3 RESULTS 19.4 DISCUSSION 19.5 CONCLUSIONS ACKNOWLEDGMENTS REFERENCES CHAPTER 20: Remote Sensing and Urban Green Infrastructure 20.1 INTRODUCTION 20.2 CURRENT APPLICATIONS 20.3 RECENT ADVANCES 20.4 CONCLUSIONS REFERENCES CHAPTER 21: Remote Sensing for Urban Sustainability Research and Sustainable Development Goals 21.1 INTRODUCTION 21.2 REMOTE SENSING AND EARTH OBSERVATION 21.3 REMOTE SENSING FOR SDGs 21.4 AN ANALYSIS OF THE SCIENTIFIC LITERATURE IN THE FIELD OF SUSTAINABILITY 21.5 DISCUSSION 21.6 SUMMARY AND CONCLUSIONS REFERENCES

      13  Index

      14  End User License Agreement

      List of Tables

      1 Chapter 2Table 2.1 Coefficients of determination between DSM and lidar for nine US ci...

      2 Chapter 6Table 6.1 Basic statistics for the six natural cities after the data process...

      3 Chapter 8Table 8.1 Deep learning models used for various remote sensing applications.Table 8.2 The land cover classification scheme used in the two case studies.Table 8.3 Sample dimensions and architecture of the three related models.Table 8.4 Summary of the classification accuracy assessment for the proposed...Table 8.5 Summary of the classification accuracy assessment for the proposed...

      4 Chapter 10Table 10.1 Indicators of mapping accuracy for vegetation, impervious surface...

      5 Chapter 11Table 11.1 Overview of the multispectral satellite images used in each of th...Table 11.2 Overview of the geographic datasets used in each of the three stu...Table 11.3 List of specific landscape metrics used at each scale.Table 11.4 Comparison of the overall classification accuracies and kappa sta...Table 11.5 Producer’s and user’s accuracies of the multiresolution classific...Table 11.6 Outline of dual levels of analysis in each of the three studies.Table 11.7 Comparison of urban vs. nonurban land‐cover percentages for the S...Table 11.8 Comparison of Stockholm City green structure land area percentage...

      6 Chapter 12Table 12.1 Summary statistics for the variation in reference imagery dates a...Table 12.2 Accuracy metrics averaged across all 200 cities in each dataset.

      7 Chapter 13Table 13.1 An example of an error, or confusion, matrix.Table 13.2 Features extracted from the RGB‐NIR, grayscale, and NDVI images, ...Table 13.3 Classification accuracy from a selection of conventional classifi...Table 13.4 Summary of all scenarios tested.

      8 Chapter 16Table 16.A.1 Point and nonpoint emission estimates calculated from the EPA i...Table 16.A.2 A list of data (e.g. emissions, nighttime lights, and auxiliary...Table 16.1 A cross‐comparison of three NTL data, and urban and population ma...Table 16.A.3 Spatial correlation and differences of two emission maps (This ...Table 16.A.4 A summary of state‐level emission comparison.

      9 Chapter 17Table 17.1 List of the satellite images used in this study.

      10 Chapter 18Table 18.1 Overview of the most widely used AOD retrievals.Table 18.2 Examples of different land use parameters used as input covariate...Table 18.3 List of some major open satellite data sources dedicated to air q...

      11 Chapter 19Table 19.1 Descriptive statistics of the dependent and independent variables...Table 19.2 Summary of the multilevel logistic regression models.