Analysis of Multi-Temporal Remote Sensing Images

by Bruzzone, Lorenzo; Smits, Paul C.

• ISBN13: 9789810249557
• ISBN10: 9810249551
• Format: Hardcover
• Copyright: 2002-09-01
• Publisher: WORLD SCIENTIFIC PUB CO INC

Summary

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the next few years. The importance and timeliness of this issue are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere.This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of environmental monitoring, remote sensing image analysis and pattern recognition will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.

Table of Contents

Foreword
Digital change detection methods in natural ecosystem monitoring: A review	p. 3
Automated and precise image registration procedures	p. 37
Adaptive reduction of registration-noise effects in unsupervised change detection	p. 50
Detection of pixel-level land-cover changes with multi-temporal imagery: Theory and examples with imagery of 1 meter and 1 kilometer spatial resolutions	p. 59
Image thresholding for landslide detection by genetic programming	p. 67
A multitemporal change-detection algorithm for the monitoring of burnt areas with SPOT-Vegetation data	p. 75
Shape change detection by fuzzy measures	p. 83
Proposal of different approaches to spatio-temporal contextual classification of remote-sensing images	p. 91
Fuzzy, neural and neuro-fuzzy classification of pre- and post-event SAR images for flood monitoring and disaster mitigation	p. 100
Using linear regression for the automation of supervised classification in multitemporal images	p. 108
An application-oriented change-detection technique	p. 116
Multitemporal change detection for updates of topographic map data bases	p. 124
Exploiting spatial and temporal information for extracting burned areas from time series of SPOT-VGT data	p. 132
The use of SOM-encoded texture spectrum for change detection	p. 140
The use of kohonen's neural nets for the detection of land-cover transitions	p. 148
A hyperspectral toolkit for the analysis of multitemporal handheld spectroradiometer data	p. 156
A temporal extension to traditional empirical orthogonal function analysis	p. 164
An ace-based nonlinear extension to traditional empirical orthogonal function analysis	p. 171
A bivariate extension to traditional empirical orthogonal function analysis	p. 179
Encapsulation of dynamic information captured in long sequences of hyper-temporal image data in single temporal images - examples, challenges and directions for development	p. 186
Performance Assessment of Multi-Temporal SAR Image Filtering	p. 198
Using temporal change of the land cover spectral signal to improve burnt area mapping	p. 209
Land cover and soil loss multitemporal analysis: An application of geoindicators in the Pantanal wetlands (Brazil)	p. 217
Natural resource in southern African drylands: Determining spatial availability and variability using ATSR2 time series	p. 225
MODIS 250m and 500m time series data for change detection and continuous representation of vegetation characteristics	p. 233
Multitemporal phenological classification of Argentina	p. 241
Monitoring natural disasters and 'hot spots' of land cover change with SPOTVEGETATION data to assess regions at risks	p. 249
Multitemporal remotely sensed indices and a proposed integrated functional vegetation index (IFVI) to monitor holm-oak woods along a spatial gradient	p. 258
Multitemporal evaluation of MIVIS data for waste disposal and landslide applications	p. 266
Multitemporal thermography aimed at monitoring volcanic areas	p. 274
Monitoring of air pollution induced vegetation damage in Pasvik-Pechenga-Nikel using hybrid classification and NDVI based change detection techniques	p. 282
Multitemporal classification of agricultural crops using the spectral-temporal response surface	p. 290
Multi-temporal, multi-sensor SAR data for operational rice field mapping	p. 298
Seasonal Landsat TM data topographic dependence in rugged deciduous forest areas	p. 305
Chlorophyll map of the Baltic Sea - The result of an automatic processing chain from data reception up to archiving and delivery of value-added products	p. 313
Suspended matter in the North Sea: A multi-temporal analysis based on SEAWIFS imagery in 2000	p. 321
The use of multi-temporal SAR images for detecting main hydrological parameters	p. 329
Multi-temporal remote sensing analytical approaches for characterizing landscape change	p. 339
Simulation of forest ecosystem processes by the analysis of multitemporal NOAA-AVHRR NDVI images	p. 347
Comparison of single year and multi year NDVI time series principal components over a grassland-forest ecotone	p. 355
Long term change detection using continuous fields of tree cover from 8km AVHRR data for the years 1982-2000	p. 363
An application of Kalman filtering for monitoring forest growth aided by satellite image time series	p. 371
The contribution of C3 and C4 grasses to interannual variability in time-integrated NDVI over the U.S. Great Plains	p. 379
Fourier decomposition of an AVHRR NDVI time series for seasonal and interannual land cover change detection	p. 387
Multi-temporal analysis using NOAA-pathfinder AVHRRland imagery for the study of the land cover dynamic in the Mediterranean basin	p. 395
Trajectories of land-cover change in intensive agricultural regions: A sort-time predictive approach with the dempster-shafer theory	p. 403
Classification and land use evolution in the South Milan agricultural park	p. 415
Land use changes in Southern Lazio, Italy, by satellite data multitemporal analysis	p. 423
Using remote sensing to update geographic information system	p. 431
Author index	p. 439
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