Anthea L. Mitchell

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– The joint processing of remote sensing data acquired from sensors operating at different wavelengths has the potential to significantly improve the operation of global forest mapping and monitoring systems. This paper presents an analysis of the forest discrimination properties of Landsat TM and ALOS-PALSAR data when considered as a combined source of(More)
In this paper, the use of airborne polarimetric Synthetic Aperture Radar (SAR) for retreiving information on the structure and biomass of mangroves in the Pacific (Australia) and Atlantic (French Guiana) oceanic regions is considered. The study makes a comparison between the biomass and structure of the different communities and how these impact on the SAR(More)
– Global forest information monitoring demands consistent, wall-to-wall, time-series measurements of forest and land cover change. To be of value to the scientific community and to support countries' Monitoring, Reporting and Verification (MRV) systems, robust and repeatable methods of generating forest change estimates from remote sensing data are(More)
Digital terrain and elevation models (DTM/DEMs) derived from Light Detection and Ranging (LiDAR) and interferometric synthetic aperture radar (InSAR) sensors can be used to provide 2D spatial information and 3D reconstruction of landscapes and objects (including buildings and vegetation). These data can subsequently be used to assess, for example, erosion(More)