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. Techniques for dealing explicitly with scale are now available in GIS, but, until now, very little literature was available to consider and solve specific issues of scale.
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.
Author(s): Dale A. Quattrochi, Michael F. Goodchild
Publisher: CRC Press
Year: 1997
Language: English
Pages: 446
City: Boca Raton
Cover
Title
Copyright
Dedication
Preface
Contents
Introduction: Scale, Multiscaling, Remote Sensing, and GIS
Chapter 1 Multiscale Nature of Spatial Data in Scaling Up Environmental Models
Chapter 2 Scale Dependence of NDVI and Its Relationship to Mountainous Terrain
Chapter 3 Understanding the Scale and Resolution Effects in Remote Sensing and GIS
Chapter 4 Multiresolution Covariation Among Landsat and AVHRR Vegetation Indices
Chapter 5 Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture
Chapter 6 Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling
Chapter 7 Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution
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
Chapter 9 Scaling Predicted Pine Forest Hydrology and Productivity Across the Southern United States
Chapter 10 Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach
Chapter 11 Scaling Land Cover Heterogeneity for Global Atmosphere–Biosphere Models
Chapter 12 Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images
Chapter 13 Statistical Models for Multiple-Scaled Analysis
Chapter 14 Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data
Chapter 15 Approaches to Scaling of Geo-Spatial Data
Chapter 16 Multifractals and Resolution Dependence of Remotely Sensed Data: GSI to GIS
Epilog
Index
