Overview

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.

Full Product Details

Author:   Michael F. Goodchild ,  Dale A. Quattrochi ,  J.M. Vose (USDA Forest Service, Otto, NC, USA) ,  Michael F. Goodchild (University of Califorinia, Santa Barbara, USA University of California - Santa Barbara, USA University of California, Santa Barbara, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Lewis Publishers,U.S.
Dimensions:   Width: 15.60cm , Height: 2.70cm , Length: 23.40cm
Weight:   0.750kg
ISBN:  

9781566701044

ISBN 10:   156670104
Pages:   446
Publication Date:   21 January 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

CONTENTS: Introduction: Scale, Multiscaling, Remote Sensing, and GIS. Multiscale Nature of Spatial Data in Scaling Up Environmental Models. Scale Dependence of NDVI and its Relationship to Mountainous Terrain. Understanding the Scale and Resolution Effects in Remote Sensing and GIS. Multiresolution Covariation among Landsat and AVHRR Vegetation Indices. Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture. Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling. Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution. 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. Scaling Predicted Pine Forest Hydrology and Productivity across the Southern United States. Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach. Scaling Land Cover Heterogeneity for Global Atmosphere-Biosphere Models. Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images. Statistical Models for Multiple Scaled Analysis. Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data. Approaches to Scaling of Geo-Spatial Data. Multifractals and Remotely Sensed Data: Generalized Scale Invariance, Geographical Information Systems and Resolution Dependence. Index.

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Quattrochi\, Dale A.; Goodchild\, Michael F.

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