Spatio-temporal wavelet statistics of SAR backscatter for the characterization of forest degradation in Cameroon

Elsa Carla De Grandi, Edward Mitchard, Iain Woodhouse

Research output: Contribution to conferenceOtherpeer-review

Abstract

Spatio-temporal analysis of ENVISAT SAR backscatter statistics was undertaken to characterise different landcover types including grassland, forest/agriculture mosaic, degraded forest and intact forest in Eastern Cameroon, Central Africa. The spatial statistics analysis was based on texture measures including wavelet variance and spectra. While, temporal analysis called into play multi-temporal features (swing and linear regression parameters) of pixel trajectories along image acquisitions for tracking landcover changes between 2003 and 2009.
Original languageEnglish
Publication statusPublished - Jul 2014

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