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  • Application of object-based accuracy assessment for land cover classification using rapideye images in Southeastern Brazil

    • Authors: Diesing, M.;  Advisor: -;  Participants: - (2016)

  • Maps of land cover generated by Geographic Object-Based Image Analysis (GEOBIA) approach provide several advantages in relation to the pixel-based methodology, thus leading to significant gains for the accuracy of the final map. The accuracy indices that frequently express such gains are obtained from the traditional pixel-based validation. Then, given the absence of a validation representing the geographical object, new object-based methodologies to assess the accuracy have been developed with the similarity matrix STEP (Shape, Thematic, Edge and Position). In this sense, from the STEP methodology, this study aims to evaluate the thematic and geometric accuracy of land cover mapping ...
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  • Evaluating the MSG satellite Multi-Sensor Precipitation Estimate for extreme rainfall monitoring over northern Tunisia

    • Authors: Dhib, S.;  Advisor: -;  Participants: - (2017)

  • Knowledge and evaluation of extreme precipitation is important for water resources and flood risk management, soil and land degradation, and other environmental issues. Due to the high potential threat to local infrastructure, such as buildings, roads and power supplies, heavy precipitation can have an important social and economic impact on society. At present, satellite derived precipitation estimates are becoming more readily available. This paper aims to investigate the potential use of the Meteosat Second Generation (MSG) Multi-Sensor Precipitation Estimate (MPE) for extreme rainfall assessment in Tunisia. The MSGMPE data combine microwave rain rate estimations with SEVIRI therma...