Scale in Remote Sensing and GIS

By D. Quattrochi, Michael F. Goodchild. 2023

439 citations recorded by the source corpus.

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. Lavallee 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

Subfields: Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/f8aaad2f3e69e828bdec56ab95b58e3098839a64

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In Environmental Engineering

Citations in the corpus

Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors (2006, background): “will not be addressed here, as it was addressed by various multiscale analyses [26].”
Finding the right pixel size (2006, background): “Although we live in a digital era where we do not necessarily work with hard copy maps, spatial resolution and extent are still strongly related with the traditional cartographic concepts (Quattrochi and Goodchild, 1997; Goodchild, 2001).”
Useful techniques of validation for spatially explicit land-change models (2004, background): “Scale is important to consider during any comparison of maps, because results can be sensitive to scale and certain patterns may be evident at only certain scales (Kok et al., 2001; Quattrochi and Goodchild, 1997).”
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends (2012, background): “The relationship between the geographical scale of a study area and the spatial resolution of remote sensing image has to be studied (Quattrochi & Goodchild, 1997).”