Scale in Remote Sensing and GIS

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ISBN: 9781566701044 | 156670104X
Cover: Hardcover
Copyright: 1/21/1997

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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. The book explores issues of scale in three broad areas: Spatial/temporal statistical analysis and model development Multiple scaled data for analysis of the biophysical environment Multiple scaled data for model development and analysis in landscape ecology

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Introduction: Scale, Multiscaling, Remote Sensing, and GIS	p. 1
Multiscale Nature of Spatial Data in Scaling Up Environmental Models	p. 13
Scale Dependence of NDVI and Its Relationship to Mountainous Terrain	p. 27
Understanding the Scale and Resolution Effects in Remote Sensing and GIS	p. 57
Multiresolution Covariation Among Landsat and AVHRR Vegetation Indices	p. 73
Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture	p. 93
Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling	p. 113
Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution	p. 141
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	p. 169
Scaling Predicted Pine Forest Hydrology and Productivity Across the Southern United States	p. 187
Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach	p. 211
Scaling Land Cover Heterogeneity for Global Atmosphere-Biosphere Models	p. 231
Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images	p. 247
Statistical Models for Multiple-Scaled Analysis	p. 273
Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data	p. 295
Approaches to Scaling of Geo-Spatial Data	p. 309
Multifractals and Resolution Dependence of Remotely Sensed Data: GSI to GIS	p. 361
Epilog	p. 395
Index	p. 397
Table of Contents provided by Blackwell. All Rights Reserved.

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Scale in Remote Sensing and GIS

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