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Scale in Remote Sensing and GIS / Edition 1

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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.

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Editorial Reviews

Booknews
Dedicated to the memory of Jeff Star<-->an outstanding environmental information scientist. 16 chapters balance concepts, examples, techniques, and theory while guiding students and users of remote sensing and geographic information systems GIS who must deal with the issues raised by multiple temporal and spacial scales. The authors explore issues of scale in three areas: spacial/temporal statistical analysis and model development; multiple scaled data for analysis of the biophysical environment; and multiple scaled data for model development and analysis in landscape ecology. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9781566701044
  • Publisher: Taylor & Francis
  • Publication date: 1/21/1997
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 432
  • Product dimensions: 6.83 (w) x 9.50 (h) x 1.02 (d)

Table of Contents

Introduction: Scale, Multiscaling, Remote Sensing, and GIS, M.F. Goodchild and D.A. Quattrochi
Multiscale Nature of Spatial Data in Scaling Up Environmental Models, L. Bian
Scale Dependence of NDVI and its Relationship to Mountainous Terrain, S.J. Walsh, A. Moody, T.R. Allen, and D.G. Brown
Understanding the Scale and Resolution Effects in Remote Sensing and GIS, C.-Y. Cao and N. S.-N. Lam
Multiresolution Covariation among Landsat and AVHRR Vegetation Indices, L. De Cola
Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture, R. Dubayah, E.F. Wood, and D. Lavallée
Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling, M.A. Friedl
Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution, J. Franklin and C.E. Woodcock
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, J.C. Luvall
Scaling Predicted Pine Forest Hydrology and Productivity across the Southern United States, S.G. McNulty, J.M. Vose, and W.T. Swank
Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach, H. Li and J.F. Reynolds
Scaling Land Cover Heterogeneity for Global Atmosphere-Biosphere Models, R.S. DeFries, J.R. Townshend, and S.O. Los
Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images, F. Csillag
Statistical Models for Multiple Scaled Analysis, D.E. Myers
Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data, D.A. Quattrochi, N. S.-N. Lam, H.-L. Qiu, and W. Zhao
Approaches to Scaling of Geo-Spatial Data, Z.-G. Xia and K.C. Clarke
Multifractals and Remotely Sensed Data: Generalized Scale Invariance, Geographical Information Systems and Resolution Dependence, S. Pecknold, S. Lovejoy, D. Schertzer, and C. Hooge
Index

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