Scale in Remote Sensing and GIS (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
432
Utgivningsdatum
1997-01-01
Förlag
CRC Press Inc
Medarbetare
Goodchild, Michael F.
Illustrationer
123 equations; 17 Halftones, black and white; 38 Tables, black and white
Dimensioner
247 x 165 x 25 mm
Vikt
816 g
Antal komponenter
1
ISBN
9781566701044
Scale in Remote Sensing and GIS (inbunden)

Scale in Remote Sensing and GIS

Inbunden Engelska, 1997-01-01
1759
Specialorder (osäker tillgång). Skickas inom 11-20 vardagar.
Fri frakt inom Sverige för privatpersoner.
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.
Visa hela texten

Passar bra ihop

  1. Scale in Remote Sensing and GIS
  2. +
  3. Advances in Geo-Spatial Information Science

De som köpt den här boken har ofta också köpt Advances in Geo-Spatial Information Science av Wenzhong Shi, Michael F Goodchild, Brian Lees, Yee Leung (inbunden).

Köp båda 2 för 4138 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Bloggat om Scale in Remote Sensing and GIS

Innehållsförteckning

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