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Results 1-9 of 9 (Search time: 0.045 seconds).
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  • Developing a framework for assessing the impact of geothermal development phases on ecosystem services

    • Authors: Willemen, L.; Semedi, J.M.;  Advisor: -;  Participants: - (2018)

  • This conference paper addresses the development of an integrated assessment to spatially measure the impact of geothermal energy development phases on ecosystem services. Listing the effects on the ecosystem services induced by each geothermal development phases and estimating the spatial impact using Geographic Information System (GIS) will result in an overview on where and how much each geothermal development phase affects the ecosystem and how this information could be included to improve national spatial planning.
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  • The role of science to support healthy rural landscapes :Powerpoint

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

  • This lecture presents: Science to support healthy rural landscapes; Rural landscapes; ES in healthy rural landscapes; Effective landscape measures; Landscape science; Decision‐making; Landscapes & Decision‐making; Science, Landscapes & Decision‐making.
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  • IPBES : a story of despair, hope, and bravery :Powerpoint

    • Authors: Willemen, L.;  Advisor: -;  Participants: - (2016)

  • Biodiversity and ecosystem services declining at unprecedented rate; Governments agreed in 2010 a need to establish an independent intergovernmental body; The science-policy niche of IPBES; The 4 functions of IPBES; How is IPBES organised?; 4 Objectives and 18 Deliverables.
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  • Assessing the Capacity of Ecosystems to Supply Ecosystem Services Using Remote Sensing and An Ecosystem Accounting Approach

    • Authors: Vargas, L.;  Advisor: -;  Participants: Willemen, L.; Hein, L. (2019)

  • In this study, we examined how net primary productivity derived from remote sensing can be used as an indicator to assess changes in the capacity of ecosystems to supply services. We examine the spatial and temporal patterns in this capacity for the Orinoco river basin from 2001 to 2014. Specifically, we analyze the capacity of six types of ecosystems to supply timber, pastures for grazing cattle, oil palm fresh fruit bunches and to sequester carbon. We compared ecosystem capacities with the level of ecosystem service supply to assess a sustainable use of ecosystems. Our study provides insights on how the capacity of ecosystems can be quantified using remote sensing data in the context of ecosystem accounting. Ecosystem capacity indicators indicate ecosystems change and harvesting-...
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  • Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency

    • Authors: Rocha, A.;  Advisor: -;  Participants: Groen, T. A.; Skidmore, A. K.; Darvishzadeh, R.; Willemen, L. (2018)

  • This study assesses the impact of spatial autocorrelation on the generalisation of plant trait models predicted with hyperspectral data. Leaf Area Index (LAI) data generated at increasing levels of spatial dependency are used to simulate hyperspectral data using Radiative Transfer Models. Machine learning regressions to predict LAI at different levels of spatial dependency are then tuned (determining the optimum model complexity) using cross-validation as well as the NOIS method. The results show that cross-validated prediction accuracy tends to be overestimated when spatial structures present in the training data are fitted (or learned) by the model.
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