Scale in remote sensing and GIS. (2023)

• Record Type: Book
• Further Information: Note: Edited by Dale A. Quattrochi, Michael F. Goodchild.
• Editors: Quattrochi, Dale A; Goodchild, Michael F
• 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,
• Edition: 1st
• Publisher Details: London : Routledge
• Publication Date: 2023
• Extent: 1 online resource
• Subjects: 621.3678; Geographic information systems; Remote sensing
• Languages: English
• ISBNs: 9781351417617
• Related ISBNs: 9781351417624
• Notes: Note: Description based on CIP data; resource not viewed.
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