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  • LA

  • Integrating water resources modelling and remote sensing in Karkeh River Basin, Iran

    • Authors: Verhoef, W.; Muthuwatta, L.P.;  Advisor: -;  Participants: - (2014)

  • Thesis provides a brief description of the Karkheh River Basin, including geography, climate, agriculture, hydrology, demography, water management and the data used in this study; presents a literature review on satellite remote sensing and hydrological models applied in water resources management; presents the estimation of water availability and water consumption by the different vegetation classes in the Karkheh River Basin; preference-based multi-variable calibration using streamflow and actual evapotranspiration is described; strategies to improve wheat production in the basin to meet the production targets of 2025 are evaluated.
  • LA

  • Integration of hydrogeophysics and remote sensing with coupled hydrological models

    • Authors: Su, Z.; Francés, A.P.;  Advisor: -;  Participants: - (2015)

  • Thesis present methodologies based on hydrogeophysics, remote sensing and geostatistics to contribute to the design of hydro- geological conceptual model; presents the development of the coupled MARMITES-MODFLOW model of surface, unsaturated and saturated zones that computes spatio-temporally the water fluxes at the catchment scale and integrates the sourcing and partitioning of the evapotranspiration; presents the integration of MRS-based hydrogeophysics into the coupled model.
  • LA

  • Microwave remote sensing for soil moisture monitoring :Synergy of active and passive observations and validation of retrieved products

    • Authors: Su, Z. ; Dente, L.;  Advisor: -;  Participants: - (2016)

  • Thesis includes a description of the soil moisture monitoring networks set up in these regions and a detailed analysis of the collected datasets; the soil moisture products obtained from AMSR‐E and the relative soil wetness index products retrieved from ASCAT are validated for the Maqu region; the SMOS soil moisture products are validated for both the Maqu and the Twente regions; The seasonal behaviour, the anomalies behaviour and the autocorrelation of AMSR‐E soil moisture and ERS relative soil wetness index are analysed.
  • BB

  • Remote Sensing for Biodiversity

    • Authors: Skidmore, A.K.;  Advisor: -;  Participants: - (2017)

  • Remote sensing (RS)—taking images or other measurements of Earth from above—provides a unique perspective on what is happening on the Earth and thus plays a special role in biodiversity and conservation applications. The periodic repeat coverage of satellite-based RS is particularly useful for monitoring change and so is essential for understanding trends, and also provides key input into assessments, international agreements, and conservation management. Historically, RS data have often been expensive and hard to use, but changes over the last decade have resulted in massive amounts of global data being available at no cost, as well as significant (if not yet complete) simplification of access and use. This chapter provides a baseline set of information about using RS for conservat...
  • LA

  • Remote sensing and modelling of snow processes

    • Authors: Su, Z.; Malik, M.J.;  Advisor: -;  Participants: - (2014)

  • Thesis presents the retrievals of snow cover’s variables (snow albedo and snow coverage) from RS measurements the simulation of snowpack processes by a LSM using different snow albedo parameterizations; demonstrated the potential of reducing uncertainties in LSM simulations through assimilation of satellite-retrieved snow albedo; summarizes the research and discusses the challenges for future research.
  • LT

  • Remote sensing of essential biodiversity :Powerpoint

    • Authors: Mucher, S.; Skidmore, A.K.;  Advisor: -;  Participants: - (2014)

  • This lecture presents: Global biodiversity loss; What are essential biodiversity variables (ebv)?; Global climate observing system essential climate variables (ecv); Agree biodiversity metrics to track from space; Definitive set of biodiversity variables to track from space; Mismatch in the definition of remote sensing and ecological units; Progress in satellites.
  • BB

  • Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

    • Authors: Muller‐Karger, F.E.;  Advisor: -;  Participants: - (2018)

  • The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae).
  • BB

  • Utility of an automated thermal - based approach for monitoring evapotranspiration

    • Authors: Timmermans, Wim J.;  Advisor: -;  Participants: - (2015)

  • A very simple remote sensing-based model for water use monitoring is presented. The model acronym DATTUTDUT (Deriving Atmosphere Turbulent Transport Useful To Dummies Using Temperature) is a Dutch word which loosely translates as “it’s unbelievable that it works”. DATTUTDUT is fully automated and only requires a surface temperature map, making it simple to use and providing a rapid estimate of spatially- distributed fluxes. The algorithm is first tested over a range of environmental and land-cover conditions using data from four short-term field experiments and then evaluated over a growing season in an agricultural region. Flux model output is in satisfactory agreement with observations and established remote sensing-based models, except under dry and partial canopy cover condition...