Skip to main content

Environmental Remote Sensing From Regional to Global Scales

Environmental Remote Sensing From Regional to Global Scales

Giles M. Foody (Editor), Paul J. Curran (Editor)

ISBN: 978-0-471-94434-8 May 1994 250 Pages

 Hardcover

In Stock

$483.00

Description

Environmental Remote Sensing from Regional to Global Scales Editedby Giles Foody University College, Swansea, UK & Paul CurranUniversity of Southampton, UK Remote sensing by satellites providesscientists with powerful means of analysing the terrestrialenvironment in fields as diverse as meteorology, agriculture, townplanning or ecology. Allied to the powerful computer-basedmethodologies of Geographic Information Systems and imageprocessing and cartographic techniques, perhaps its most importantaspect is the way Environmental Remote Sensing (ERS) can allowsynoptic interpretation of complex geographical phenomena fromglobal to local scales. This book provides a benchmark collectionof papers to demonstrate the flexibility and power of ERStechniques in a variety of contexts and scales. To achieve thisend, a group of leading specialists have been invited to contributesurveys of the field. A high level of technical expertise is notrequired, making the book accessible to the research scientist, orstudent or professional wishing to assess the application of thesetechniques to his/her own field of study.
Partial table of contents:

Environmental Issues at Regional to Global Scales (P. Curran &G. Foody).

Explaining and Monitoring Land Cover Dynamics in Drylands UsingMulti-Temporal Analysis of NOAA AVHRR Imagery (A. Millington, etal.).

Global Land Cover: Comparison of Ground-Based Data Sets toClassifications with AVHRR Data (R. DeFries & J.Townshend).

A Near-Real-Time Heat Source Monitoring System Using NOAA PolarOrbiting Meteorological Satellites (G. Smith & R.Vaughan).

Attempts to Drive Ecosystem Simulation Models at Local to RegionalScales (P. Curran).

Environmental Monitoring Using Multiple-View-Angle (MVA)Remotely-Sensed Data (M. Barnsley).

Spatial Data: Data Types, Data Applications and Reasons for PartialAdoption and Non-Integration (J. Allan).

Index.