Scaling of Remote Sensing Data for GIS
1st Edition
Will be published approx. on 21. January 1997
Book
Hardback
430 pages
978-1-56670-104-4 (ISBN)
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.
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.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional
Illustrations
17 s/w Photographien bzw. Rasterbilder, 38 s/w Tabellen
17 figs., 38 tabs.
Dimensions
Height: 234 mm
Width: 156 mm
Weight
800 gr
ISBN-13
978-1-56670-104-4 (9781566701044)
Schweitzer Classification
Other editions
Additional editions
Dale A. Quattrochi | Michael F. Goodchild
Scale in Remote Sensing and GIS
E-Book
01/2023
1st Edition
CRC Press
€244.99
Available for download
Dale A. Quattrochi | Michael F. Goodchild
Scale in Remote Sensing and GIS
E-Book
01/2023
1st Edition
CRC Press
€244.99
Available for download
Persons
Quattrochi\, Dale A.; Goodchild\, Michael F.
Content
CONTENTS: Introduction: Scale, Multiscaling, Remote Sensing, and GIS. Multiscale Nature of Spatial Data in Scaling Up Environmental Models. Scale Dependence of NDVI and its Relationship to Mountainous Terrain. Understanding the Scale and Resolution Effects in Remote Sensing and GIS. Multiresolution Covariation among Landsat and AVHRR Vegetation Indices. Multiscaling Analysis in Distributed Modeling and Remote Sensing: An Application Using Soil Moisture. Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling. Multiscale Vegetation Data for the Mountains of Southern California: Spatial and Categorical Resolution. 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. Scaling Predicted Pine Forest Hydrology and Productivity across the Southern United States. Modeling Effects of Spatial Pattern, Drought, and Grazing on Rates of Rangeland Degradation: A Combined Markov and Cellular Automaton Approach. Scaling Land Cover Heterogeneity for Global Atmosphere-Biosphere Models. Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images. Statistical Models for Multiple Scaled Analysis. Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data. Approaches to Scaling of Geo-Spatial Data. Multifractals and Remotely Sensed Data: Generalized Scale Invariance, Geographical Information Systems and Resolution Dependence. Index.