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Authors: Petr, M.; Advisor: -; Participants: - (2015) - The inherent uncertainty of climate change impacts is one of the main challenges for adaptation in environmental management. The lack of knowledge about climate impacts on ecosystem services at high spatial and temporal resolution limits when and what adaptation measures should be taken. We addressed these limits by assessing four ecosystem services—forest production, tree growth, sequestered carbon, and tourism potential—under drought or climate change. To support adaptation, we adapted the existing concept of ‘dynamic adaptive policy pathways’ for forest management by developing an action expiration chart, which helps to define expiry dates for forestry actions using ecosystem services delivery thresholds. We assessed services for Sitka spruce, Scots pine, and pedunculate oak on t...
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Authors: El-Shikha, D.; Eranki, P.L.; Advisor: -; Participants: - (2017) - This study, the first of its kind for guayule, compares the metrics of energy consumption, lifecycle environmental impacts and irrigation water productivity. Drip irrigation showed a more efficient use of the applied water by generating higher rubber (46%) and bagasse (dry matter) yields (49%) compared to flood irrigation. On the other hand, drip irrigation showed 13% higher energy consumption than flood because of the additional burdens of water pumping. Experimental field operations were the central contributor to energy consumption in both irrigation methods. By separating a crucial stage of guayule production, namely irrigation, connections emerge between various key parameters in the two irrigation methods; accordingly, the outcomes from the evaluation of these two irrigation s...
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Authors: Li, S.; Alun, G.; Advisor: -; Participants: - (2017) - This paper summarizes and analyzes the influences of coal mining and utilization on water resources. Quantitative indicators are used to quantify relevant influences and transform the influences from material amount to monetary amount to gain the summation of the influences in the entire process. Results show that mining of coal per ton generally causes depletion of 1.32 m3 water resources, pollution to 0.88 m3 water resources, and destruction of 0.17 m2 water ecological environment on the average, thereby making a comprehensive cost of approximately 50.61 yuan. Taking thermal power industry as an example, per-ton-coal utilization means depletion of water resources of 26.35 m3 and the comprehensive cost of 86.61 yuan. To utilize coal resources scientifically and to respond to the ob...
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Authors: Luis Garrote, L.; Iglesias, A.; Advisor: -; Participants: - (2017) - Here we characterise the main risks across European regions and evaluate adaptation strategies by reviewing over 168 highly relevant publications that appeared in the last 15 years. Based on this extensive database we characterise the effort and benefit of a number of agronomic and policy measures, aiming to develop concrete adaptation plans and responding to concrete regional challenges. The adaptation choices consider current technological perspectives and do not project future technological change; we are certain that technological change will shape some choices for adaptation in the coming decades. The greatest scope for action is in improving adaptive capacity and responding to changes in water demands, however the implementation requires revamping current water policy, adequat...
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Authors: Garcia-Pedrero, A.; Advisor: -; Participants: - (2016) - The generation of labeled data for training automated methods used in the analysis of remote sensing images is a challenging task. Approaches as Active Learning aim to perform accurate classifications in a scenario of a few annotated data. These approaches generally require the interaction between the user and the machine learning method during training phase. However, in the remote sensing area, it is difficult to find a tool that facilitates this interaction. In this work, an interactive web-based platform to perform the training of method for remote sensing image annotation by means of an active learning approach is proposed. The platform integrates open-source GIS technologies and object-based approach in order to facilitate the interaction between the user and the active learni...
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Authors: Garcia-Pedrero, A.; Advisor: -; Participants: - (2016) - The generation of labeled data for training automated methods used in the analysis of remote sensing images is a challenging task. Approaches as Active Learning aim to perform accurate classifications in a scenario of a few annotated data. These approaches generally require the interaction between the user and the machine learning method during training phase. However, in the remote sensing area, it is difficult to find a tool that facilitates this interaction. In this work, an interactive web-based platform to perform the training of method for remote sensing image annotation by means of an active learning approach is proposed. The platform integrates open-source GIS technologies and object-based approach in order to facilitate the interaction between the user and the active learni...
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Authors: Khoshelham, K.; Advisor: -; Participants: - (2013) - This lecture presents: Why building damage assessment?; Why point clouds?; Acquisition of point clouds; Classification of damaged roofs in aerial point clouds; Classification of damaged roofs in aerial point clouds; What are features of damaged/intact roof segments?; Feature selection; Visual analysis; Structural health monitoring.
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Authors: Rahul, Raj; Advisor: -; Participants: - (2014) - Parameters of a process-based forest growth simulator are difficult or impossible to obtain from field observations. Reliable estimates can, however, be obtained using calibration against observations of output and state variables. In this study, we present a Bayesian framework to calibrate the widely used process-based simulator BIOME-BGC against estimates of gross 5 primary production (GPP) data. We used GPP partitioned from flux tower measurements of a net ecosystem exchange over a 55 year old Douglas fir stand as an example. The uncertainties of both the BIOME-BGC parameters and the simulated GPP were estimated. The calibrated parameters leaf and fine root turnover (LFRT), ratio of fine root carbon to leaf carbon (FRC:LC), ratio of carbon to nitrogen in leaf (C:Nleaf), canopy wa...
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Authors: Arodudu, O.; Advisor: -; Participants: - (2017) - In light of possible future restrictions on the use of fossil fuel, due to climate change obligations and continuous depletion of global fossil fuel reserves, the search for alternative renewable energy sources is expected to be an issue of great concern for policy stakeholders. This study assessed the feasibility of bioenergy production under relatively low-intensity conservative, eco-agricultural settings (as opposed to those produced under high-intensity, fossil fuel based industrialized agriculture). Estimates of the net energy gain (NEG) and the energy return on energy invested (EROEI) obtained from a life cycle inventory of the energy inputs and outputs involved reveal that the energy efficiency of bioenergy produced in low-intensity eco-agricultural systems could be as much a...
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Authors: Tol, C.V.D.; Raj, R.; Advisor: -; Participants: - (2017) - In this study, we present a Bayesian framework to calibrate the widely used process-based simulator Biome-BGC against estimates of gross primary production (GPP) data. We used GPP partitioned from flux tower measurements of a net ecosystem exchange over a 55-year-old Douglas fir stand as an example. The uncertainties of both the Biome-BGC parameters and the simulated GPP values were estimated. The calibrated parameters leaf and fine root turnover (LFRT), ratio of fine root carbon to leaf carbon (FRC : LC), ratio of carbon to nitrogen in leaf (C : Nleaf), canopy water interception coefficient (Wint), fraction of leaf nitrogen in RuBisCO (FLNR), and effective soil rooting depth (SD) characterize the photosynthesis and carbon and nitrogen allocation in the orest. The calibration improv...
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