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The aim of this study was to exploit multidate ERS-1 observations and the ground truth data set available in order to assess the forestry information content of ERS-1 SAR data, the potential for improved information extraction from multitemporal C-band SAR data and techniques for change detection and monitoring purposes. The purpose of this paper is twofold. First, a processing strategy for detection of changes occurring to the scene in an ERS-1 time series acquired during several months is presented. Then, careful analysis of the detected changes, relating to environmental survey data (meteorology, phenology, land cover and land use knowledge) gives some insight into the origin and nature of short and medium term changes in radar backscatter detected by ERS-1. Backscatter changes of different land cover over the time series are finally exploited for better discrimination between surfaces, through a comprehensive multitemporal ERS-1 SAR data discriminant analysis.

Additional information

Authors: KATTENBORN G, JRC Ispra (IT);DE GRANDI G, JRC Ispra (IT);SIEBER A J, JRC Ispra (IT);NEZRY E, Aerospace & Remote Sensing Consultant, Toulouse (FR)
Bibliographic Reference: Paper presented: Second ERS-1 Symposium, Hamburg (DE), October 11-14, 1993
Availability: Available from (1) as Paper EN 37981 ORA
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