About this book
With a balanced mixture of concepts, practical examples, techniques, and theory, this book is a guide for users who deal with the issues raised by multiple temporal and spatial scales. Sixteen pages of full-colour photographs help demonstrate key points made in the text.
Contents
Introduction: Scale, Multiscaling, Remote Sensing, and GIS, M.F. Goodchild and D.A. QuattrochiMultiscale Nature of Spatial Data in Scaling Up Environmental Models, L. BianScale Dependence of NDVI and its Relationship to Mountainous Terrain, S.J. Walsh, A. Moody, T.R. Allen, and D.G. BrownUnderstanding the Scale and Resolution Effects in Remote Sensing and GIS, C.-Y. Cao and N. S.-N. LamMultiresolution Covariation among Landsat and AVHRR Vegetation Indices, L. De ColaMultiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture, R. Dubayah, E.F. Wood, and D. Lavall eExamining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling, M.A. FriedlMultiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution, J. Franklin and C.E. WoodcockThe 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. LuvallScaling Predicted Pine Forest Hydrology and Productivity across the Southern United States, S.G. McNulty, J.M. Vose, and W.T. SwankModeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach, H. Li and J.F. ReynoldsScaling Land Cover Heterogeneity for Global Atmosphere-Biosphere Models, R.S. DeFries, J.R. Townshend, and S.O. LosQuadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images, F. CsillagStatistical Models for Multiple Scaled Analysis, D.E. MyersImage 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. ZhaoApproaches to Scaling of Geo-Spatial Data, Z.-G. Xia and K.C. ClarkeMultifractals and Remotely Sensed Data: Generalized Scale Invariance, Geographical Information Systems and Resolution Dependence, S. Pecknold, S. Lovejoy, D. Schertzer, and C. HoogeIndex
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