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  • BB


  • Authors: Srivastava, P.; Singh, S.;  Advisor: -;  Participants: - (2016)

  • This study focuses on a systematic evaluation and separation of El Niño Southern Oscillation (ENSO) induced droughts and irrigation water withdrawal impacts on flow levels using a novel and powerful statistical technique, called JRFit. JRFit procedure was applied to quantify significant differences in streamflows, baseflows, and low flow statistics during non-irrigation (NI) and irrigation (IR) periods associated with ENSO phases. The results indicate that overall streamflow levels have decreased by approximately 20% after the introduction of irrigation in the study area. This study provides useful information to policymakers to devise irrigation water withdrawal policies during La Niña growing seasons for maintaining flow levels in the study area.

  • BB


  • Authors: O'Connor, Brian;  Advisor: -;  Participants: - (2015)

  • Biodiversity is continuing to decline. This crisis has been recognised by the Convention on Biological Diversity (CBD), whose members have set ambitious targets to avert ongoing declines in the state of biodiversity by 2020. These so called “Aichi Biodiversity Targets” (ABTs) are organized around five strategic goals, with indicators showing the level of progress made towards each target. Currently, measurements of many ABT indicators are not available. The Essential Biodiversity Variable (EBV) framework, developed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), attempts to form a coherent and harmonised set of observations of biodiversity. In this paper, we explore the potential role of Earth Observation (EO) as a tool to support biodiversity monitori...

  • BB


  • Authors: Yang, Naisen;  Advisor: -;  Participants: - (2016)

  • Data augmentation is a common method that can prevent the overfitting of classification tasks in deep neural networks. This paper presents another kind of data augmentation method called DropBand that is useful for remote sensing image classification. Data augmentation is usually used along two dimensions of the image plane. This method executes this operation in the third dimension formed by all the spectral bands of an input image. With dropping a band of images out, the error rate of deep neural networks can be reduced. This method can also be viewed as a peculiar version of deterministic Dropout. The normal Dropout does not work well when it is applied to input channels of neural networks. To release this issue, dropping a band of input by schedule is employed. Moreover, model s...

  • BB


  • Authors: Díaz-Vilariño, L.;  Advisor: -;  Participants: - (2014)

  • Building indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can be subjected, from architecture and furniture design, to movies and video games editing, or even crime scene investigation. Among the constructive elements defining the inside of a building, doors are important entities in applications like routing and navigation, and their automated recognition is advantageous e.g. in case of large multi-storey buildings with many office rooms. The inherent complexity of the automation of the recognition process is increased by the presence of clutter and occlusions, difficult to avoid in indoor scenes. In this work, we present a pipeline of techniques used for the reconstruction and interpretation of building interi...

  • BB


  • Authors: Ostermann, Frank O.;  Advisor: -;  Participants: - (2015)

  • Biodiversity is continuing to decline. This crisis has been recognised by the Convention on Biological Diversity (CBD), whose members have set ambitious targets to avert ongoing declines in the state of biodiversity by 2020. These so called “Aichi Biodiversity Targets” (ABTs) are organized around five strategic goals, with indicators showing the level of progress made towards each target. Currently, measurements of many ABT indicators are not available. The Essential Biodiversity Variable (EBV) framework, developed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), attempts to form a coherent and harmonised set of observations of biodiversity. In this paper, we explore the potential role of Earth Observation (EO) as a tool to support biodiversity monitori...

  • LA


  • Authors: Verhoef, W.; Gökmen, M.;  Advisor: -;  Participants: - (2013)

  • Thesis deals with improving the quantification of hydrological fluxes, particularly evapotranspiration, for continuously or seasonally water-stressed regions; presents an integrated method, which combines remote sensing based evapotranspiration and precipitation estimates with available ground data to establish each component of the water balance; presents a regional framework for an integrated and spatio- temporally distributed assessment of human-induced trends in the hydrology and the associated ecological health of a semi-arid basin where both human activities (i.e. agriculture) and natural ecosystems are highly groundwater- dependent; describes an RS-based and quantitative framework for assessing the limits and variations of sustainable water resources and the ecological water ...

  • SH


  • Authors: -;  Advisor: -;  Participants: - (2016)

  • The report provides companiesan eye-opening approach to sustainable growth in the countries where they operate. Governments seeking to collaborate with the private sector to address development challenges in the context of the global goals for sustainable development. The report provides policy-makers with a framework to guide their engagement of companies and the opportunities for strategic partnerships around key issues.