Remote Sensing Change Detection

Remote Sensing Change Detection

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This book gives comprehensive coverage of the fundamentals, the techniques, and the demonstrated results of a variety of projects in a manner accessible to both the novice and the advanced user of remotely sensed data. This is a unique and distinctive work on change detection in landscapes and watersheds and examines topics such as the basis of image analysis, change detection, radar and validation (or accuracy assessment). A number of North American case studies take the reader through real examples - with all the successes and pitfalls. There are advanced topics for the experienced user including advanced classification techniques (eg. pixel mixing). Established data sources such as Landsat MSS and AVHRR data are described as are new sensors such as radar and AVIRIS. Applications include fire, wetlands, forests, environmental change, vegetation, Amazonia, and the savannah. The book concludes with a description of methods for performing a change detection accuracy more

Product details

  • Hardback | 320 pages
  • 178 x 254 x 25.4mm | 975g
  • Taylor & Francis Ltd
  • London, United Kingdom
  • English
  • colour and b&w illustrations, maps
  • 0748408614
  • 9780748408610

Table of contents

Applications, Project Formulation, and Analytical Approach. Survey of Multispectral Methods for Land Cover Change Analysis. North American Landscape Characterization: Dataset Development/Data Fusion. Classification-Based Change Detection: Theory and Application to the NALC Dataset. An Evaluation of the CoastWatch Change Detection Protocol in South Carolina. Methods for Detecting Conifer Change with Thematic Mapper Data. Wildfire Detection with Meteorological Satellite Data. Detection of Fires and Power Outages using DMSP-OLS Data. Change Identification using Multitemporal Spatial Mixture Analysis. Seasonal Vegetation Patterns Derived from Advanced Visible/Infrared Imaging Spectrometer Data. Vegetation Change Detection using High Spectral Resolution Vegetation Indices. Radar Remote Sensing of Wetlands. Monitoring Trends in Wetlands Vegetation Using Landsat MSS Time Series. Radar Interferometry for Environmental Change Detection. Change Detection Accuracy more