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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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  • Effect of different soil moisture regimes on plant growth and water use efficiency of Sunflower: experimental study and modeling

    • Authors: Soothar, Rajesh Kumar;  Advisor: -;  Participants: Singha, Ashutus; Soomro, Shakeel Ahmed; Chachar, Azhar-u-ddin; Kalhoro, Faiza; Rahaman, Md Arifur (2021)

  • This study was based on completely randomized block design with three treatments including T1 (30% soil moisture depletion), T2 (50% soil moisture depletion) and T3 (70% soil moisture depletion) with three replicates. In order to determine the crop water requirements under desired treatments, the gypsum blocks were used for computing the daily soil moisture depletion. The result shows that total volume of water applied to crop under T1, T2 and T3 was 9689, 5200 and 2045 m3 ha−1, respectively. As a result, the grain yield under T1, T2 and T3 was 13.2, 12.1 and 14.3 t ha−1, respectively. These results advocate that total yield of crop under T1 and T2 was less as compared to T3. The T3 g...
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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...
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  • Evaluation of swat model performance to hydrologic cycle simulation in the Cong watershed, Vietnam

    • Authors: Nguyen Viet Anh;  Advisor: -;  Participants: - (2019)

  • In this study, performance of semi-distributed hydrologic model, namely Soil and Water Assessment Tool (SWAT), was evaluated for hydrologic cycle simulation in the Cong Watershed.. The model parameters were calibrated and validated using meteorological data observed at five gauges and runoff data observed at Tan Cuong Station between 1961 and 1975. Quantitative statistical criteria such as Nash-Sutcliffe Efficiency (NSE) and Coefficient of determination (R2) were used to evaluate the model performance on daily river flow simulations. As a result, the calibrated model performed well in hydrologic cycle simulations in the Cong Watershed, suggesting the applicability of the SWAT model to...