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Advances in Remote Sensing and GIS Analysis
 
 
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Advances in Remote Sensing and GIS Analysis [Hardcover]

Peter M. Atkinson (Editor), Nicholas Tate (Editor)

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Book Description

0471985775 978-0471985778 September 1, 1999 1
An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications.

With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling.

This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.

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Editorial Reviews

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"This is an interesting and informative book ... a good, clearly written introduction to remote sensing and developments within it.", Rich Harris, , Scientific Computing World#

From the Back Cover

Remote sensing and GIS are technologies for the new millennium. This book brings together some of the most recent developments in these complimentary fields, with a particular emphasis on mathematical techniques and their application. The range of techniques covered includes fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization), texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases the mathematical basis is explained fully.

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Inside This Book (learn more)
First Sentence:
One of the most recent advances made in remote sensing has been the adoption of ANNs in the place of maximum likelihood (ML) classification, which is standard in most remote sensing software. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
spatial resolution satellite sensor imagery, test site pixels, punctual variogram, snow depth data, digital vector data, classification fuzziness, cloud motion vectors, imaging spectrometer data, spectral wavebands, convective updraughts, ground reference data, satellite sensor images, nugget variance, daily minimum air temperatures, average variogram, land cover regions, cokriging equations, mixed pixels, sill variance, land cover composition, terrain variables, pure pixels, spatial resolution imagery, raster data model, classified imagery
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Journal of Remote Sensing, Remote Sensing of Environment, New York, Great Britain, John Wiley, Meteorological Office, Sons Ltd, Lake Tahoe, Mathematical Geology, Ordnance Survey, Academic Press, Oxford University Press, Airborne Visible, Physical Geography, Infrared Imaging Spectrometer, International Journal of Geographic Information Systems, Journal of Applied Meteorology, Thetford Forest, Ann Arbor, Journal of Geophysical Research, Journal of Soil Science, Morgan Kaufmann, San Mateo, University of Birmingham, Urban Studies
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