Scale in Remote Sensing and GIS: 1st Edition (Hardback) book cover

Scale in Remote Sensing and GIS

1st Edition

Edited by Dale A. Quattrochi, Michael F. Goodchild

CRC Press

432 pages

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Hardback: 9781566701044
pub: 1997-01-21
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Description

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.

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

Subject Categories

BISAC Subject Codes/Headings:
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems