A series of video lectures by Prof Iain Woodhouse on understanding and using SAR data.
I thought I’d put together some random notes while learning from the Synthetic Aperture Radar: Hazards course taught by Dr Franz Meyer, the Chief Scientist of the Alaska Satellite Facility and Professor of Radar Remote Sensing at the Geophysical Institute at University of Alaska Fairbanks, through edX’s massive open online course platform.
My main motivation for enrolling in the online course was to refresh my foundational knowledge and understanding of polarimetric synthetic aperture radar (PolSAR), and enhance my skills on utilising more advanced techniques including interferometric SAR (InSAR), polarimetric interferometric SAR (PolInSAR), and SAR tomography (TomoSAR)—all of which are quite very exciting technologies to employ in my research.
A recent study mapped the distribution and drivers of global mangrove forest change from 1996 to 2010 [1]. The study, published in PLoS ONE by members of the ALOS Kyoto & Carbon Initiative led by the Japan Aerospace Exploration Agency, investigated the drivers of mangrove land use and land cover change across the tropics using time-series L-band synthetic aperture radar sensors, particularly JER-1 SAR and ALOS/PALSAR mosaic data.
One of the major findings showed that Southeast Asia contained the largest proportion of mangrove forests globally (33.
A few days ago, the Japan Aerospace Exploration Agency finally released the long-awaited global mosaics from the ALOS-2/PALSAR-2 satellite, which was launched in 24 May 2014.
[release] Data Release of Global Forest/Non-forest Map by DAICHI-2 -Contributing to measures to tackle global… https://t.co/9PHuGoLB7f
— JAXA(Japan Aerospace Exploration Agency) (@JAXA_en) January 28, 2016 The 2015 data consists of the 25m mosaic data (at HH and HV polarisations) and the forest/non-forest map product, both at global coverage and free of charge for public use.