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  • BB

  • Transpiration and stomatal conductance in a young secondary tropical montane forestContrasts between native trees and invasive understorey shrubs

    • Authors: Ghimire C.P.;  Advisor: -;  Participants: Bruijnzeel L.A.; Lubczynski M.W.; Zwartendijk B.W.; Odongo V.O.; Ravelona M.; Meerveld H.J.V (2018.)

  • The Ec exhibited a plateau-shaped relation with vapour pressure deficit (VPD), which was attributed to stomatal closure at high VPD. Vapour pressure deficit was the major driver of variation in Ec, during both the wet and the dry season. Overall water use of the trees was modest, possibly reflecting low site fertility after three swidden cultivation cycles. The observed contrast in gs response to soil water and climatic conditions for the trees and shrubs underscores the need to take root distributions into account when modelling transpiration from regenerating tropical forests.
  • BB

  • Its4land - Challenges and Opportunities in Developing Innovative Geospatial Tools for Fit-For-Purpose Land Rights Mapping

    • Authors: Koeva M.;  Advisor: -;  Participants: Crommelinck S.; Stöcker C.; Crompvoets J. (2018.)

  • The project consists of a four-year work plan, €3.9M funding, and eight consortium partners collaborating with stakeholders from different case study locations in Ethiopia, Kenya, and Rwanda that cover different land uses such as urban, peri-urban, rural smallholder, and (former) pastoralists. Major technical tasks include tool development, prototyping, and demonstration for local, national, regional, and international interest groups. However, equal emphasis is placed on needs assessment, as well as governance, capacity and business modelling.
  • BB

  • Dynamics in responsible land administrationChange at five levels

    • Authors: Zevenbergen J.;  Advisor: -;  Participants: Vries W.T.D.; Bennett R. (2018.)

  • Measuring the interventions is no trivial task: isolating meaningful dependent and independent variables is an ongoing challenge. Socio-technical approaches are needed as are skilled personnel to implement them. This suggests substantial changes to social capacity, embodied in scaled capacity building programs: to reap the rewards of well-designed interventions, integrated capacity development activities are needed at individual, crossorganizational, and societal levels. When all the above changes coalesce in a harmonious fashion, 'responsible land administration' appears more readily achievable.
  • BB

  • Deep Kalman FilterSimultaneous Multi-Sensor Integration and Modelling

    • Authors: Hosseinyalamdary S.;  Advisor: -;  Participants: - (2018.)

  • In this paper, we developed deep Kalman filter to model and remove IMU errors and, consequently, improve the accuracy of IMU positioning. To achieve this, we added a modelling step to the prediction and update steps of the Kalman filter, so that the IMU error model is learned during integration. The results showed our deep Kalman filter outperformed the conventional Kalman filter and reached a higher level of accuracy.
  • BB

  • Key criteria for developing ecosystem service indicators to inform decision making

    • Authors: van Oudenhoven, A.P.E.;  Advisor: -;  Participants: Schröter, M.; Drakou, E.G. (2018)

  • We synthesized 16 criteria for ES indicator selection and organized them according to the widely used categories of credibility, salience, legitimacy (CSL). We propose to consider additional criteria related to feasibility (F), as CSL criteria alone often seem to produce indicators which are unachievable in practice. Considering CSLF together requires a combination of scientific knowledge, communication skills, policy and governance insights and on-field experience. In conclusion, we present a checklist to evaluate CSLF of your ES indicators. This checklist helps to detect and mitigate critical shortcomings in an early phase of the development process, and aids the development of effective indicators to inform actual policy decisions.
  • BB

  • Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce SituationsThe Case of the Central-Western Hills (Panchase Region) of Nepal

    • Authors: Devkota S.;  Advisor: -;  Participants: Shakya N.M.; Sudmeier-Rieux K.; Jaboyedoff M.; Westen C.J.V; Mcadoo B.G.; Adhikari A. (2018.)

  • This study explored the rainfall variability and possibility to establish IDF relationships in data-scarce situations, such as in the Central-Western hills of Nepal, one of the highest rainfall zones of the country (~4500 mm annually), which was chosen for this study. Homogeneous daily rainfall series of 8 stations, available from the government’s meteorological department, were analyzed by grouping them into hydrological years. The monsoonal daily rainfall was disaggregated to hourly synthetic series in a stochastic environment. Utilizing the historical statistical characteristics of rainfall, a disaggregation model was parameterized and implemented in HyetosMinute, software that disaggregates daily rainfall to finer time resolution.
  • BB

  • Development and analysis of spring plant phenology products36 years of 1-km grids over the conterminous US

    • Authors: Izquierdo-Verdiguier E.;  Advisor: -;  Participants: Zurita-Milla R.; Ault T.R.; Schwartz M.D. (2018.)

  • The spatial analysis shows a significantly delayed spring onset in the northern US whereas in the western and the Great Lakes region, spring onset advances. The mean temporal variabilities of the indices were analyzed for the nine major climatic regions of the US and results showed a clear division into three main groups: early, average and late spring onset. Finally, the region belonging to each group was mapped. These examples show the potential of our four phenological products to improve understanding of the responses of ecosystems to a changing climate.
  • BB

  • Towards UAV-based Land Tenure Data Acquisition in RwandaNeeds Assessment and Technology Response

    • Authors: Stöcker C.;  Advisor: -;  Participants: Ho S.; Koeva M.; Nkerabigwi J.; Schmidt C.; Zevenbergen J.; Bennett R. (2018.)

  • This study sheds light on the needs assessment and design process of UAV-based data acquisition workflows and reveals results of data collection activities and initial UAV test flights in Rwanda. Insights into operational challenges and data quality measures are presented. The paper concludes that the tool of UAV-based data collection seems to offer an answer to the majority of the expressed needs which were assessed with the NGT method. However, the realization of the test flights also reveals three specific challenges that have to be addressed before UAVs can be used for large scale mapping in Rwanda.
  • BB

  • Feature Relevance Assessment Of Multispectral Airborne Lidar Data For Tree Species Classification

    • Authors: Amiri N.;  Advisor: -;  Participants: Heurich M.; Krzystek P.; Skidmore A.K. (2018.)

  • Our study is conducted using 586 ground measured single trees from 20 sample plots in the Bavarian Forest National Park, in Germany. Due to lack of reference data for some rare species, we focused on four classes of species. The results show an improvement between 4-10 pp for the tree species classification by using MLS data in comparison to a single wavelength based approach. A cross validated (15-fold) accuracy of 0.75 can be achieved when all feature sets from three different spectral channels are used. Our results cleary indicates that the use of MLS point clouds has great potential to improve detailed forest species mapping.