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Hello everyone, On behalf of the iEMSs Workshop A3 organisation team, I would like to bring your attention to the Workshop named "Long –Term Analysis of Socio-Ecosystems Under Climate Change: New Avenues for Integrated Modelling of Adaptation Processes". This workshop will take place at the 8th International Congress on Environmental Modelling and Software - iEMSs 2016 - in Toulouse, France, on July 10-14, 2016. Under the organisation of Prof. Carlo Giupponi and Dr. Paola Mercogliano, this workshop will focus on modelling and techniques (Remote Sensing - RS and Geographical Information Systems - GIS) for monitoring and assessing the interactions between exogenous drivers (climate change in particular) and the evolution of socio-ecosystems. A specific interest is for land cover/use change as a manifestation of the effects of climatic changes and their inter-linkages with ecosystems and human activities. The main aim of the workshop is exploring methodological avenues and technological solutions to go beyond state-of-the-art to analyse the vulnerability of socio-ecosystems to global change over the long term. The workshop aims at covering topics ranging from climatic modelling to natural disaster mapping, Remote Sensing for land cover and land use change analysis, and economic modelling of impacts. The workshop will contribute to develop new ideas about which opportunities are there for innovative approaches and how they could be integrated in studies like for example climate change adaptation analysis and strategy development. More information can be found at: http://www.iemss.org/sites/iemss2016/index.php We are looking forward to seeing you in France! -- Arthur Hrast Essenfelder PhD Candidate in Science and Management of Climate Change Università Ca' Foscari Venezia, Department of Economics Fondamenta San Giobbe, Cannaregio 873, 30123 Venezia e-mail: [email protected]
Hi guys! I`m working on land cover change detection project of Kyiv province in Ukraine using Landsat data and ancillary information. I want to find change in Land Cover from 1990 to 2014 of Kyiv province using Decision Tree approach in ENVI. I have already done radiometric correction, atmospheric correction and apply cloud mask to whole Landsat`s scenes, and now I have question and request. Do I need to do mosaicking before classification or mosaicking classified image ? Does anybody have some decision rules for splitting pixels for appropriate land cover classes using Landsat data, DEM, VI? Thanks