| 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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