Scale in Remote Sensing and GIS
eBook - ePub

Scale in Remote Sensing and GIS

  1. 432 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Scale in Remote Sensing and GIS

About this book

The recent emergence and widespread use of remote sensing and geographic information systems (GIS) has prompted new interest in scale as a key component of these and other geographic information technologies. With a balanced mixture of concepts, practical examples, techniques, and theory, Scale in Remote Sensing and GIS is a guide for students and users of remote sensing and GIS who must deal with the issues raised by multiple temporal and spatial scales. Sixteen pages of full-color photographs help demonstrate key points made in the text.

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Yes, you can access Scale in Remote Sensing and GIS by Michael F. Goodchild, Dale A. Quattrochi, Michael F. Goodchild,Dale A. Quattrochi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Preface
  6. Contents
  7. Introduction: Scale, Multiscaling, Remote Sensing, and GIS
  8. Chapter 1 Multiscale Nature of Spatial Data in Scaling Up Environmental Models
  9. Chapter 2 Scale Dependence of NDVI and Its Relationship to Mountainous Terrain
  10. Chapter 3 Understanding the Scale and Resolution Effects in Remote Sensing and GIS
  11. Chapter 4 Multiresolution Covariation Among Landsat and AVHRR Vegetation Indices
  12. Chapter 5 Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture
  13. Chapter 6 Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling
  14. Chapter 7 Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution
  15. Chapter 8 The Use of Remotely Sensed Surface Temperatures from an Aircraft-Based Thermal Infrared Multispectral Scanner (TIMS) to Estimate the Spatial and Temporal Variability of Latent Heat Fluxes and Thermal Response Numbers from a White Pine (Pinus strobus L.) Plantation
  16. Chapter 9 Scaling Predicted Pine Forest Hydrology and Productivity Across the Southern United States
  17. Chapter 10 Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach
  18. Chapter 11 Scaling Land Cover Heterogeneity for Global Atmosphereā€“Biosphere Models
  19. Chapter 12 Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images
  20. Chapter 13 Statistical Models for Multiple-Scaled Analysis
  21. Chapter 14 Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data
  22. Chapter 15 Approaches to Scaling of Geo-Spatial Data
  23. Chapter 16 Multifractals and Resolution Dependence of Remotely Sensed Data: GSI to GIS
  24. Epilog
  25. Index