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Results 1-5 of 5 (Search time: 0.067 seconds).
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  • 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).
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  • Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

    • Authors: Ghaffarian, S.;  Advisor: -;  Participants: Kerle, N.; Filatova, T. (2018)

  • There was a 42% stunting prevalence. Prevalence of continued breastfeeding and exclusive breastfeeding were 92% and 50%, respectively. Most children (62%) fell into the low dietary diversity score group. The nutrient intake from complementary foods was below recommendations. The odds of stunting were higher in children >12 mo of age (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.08–1.29). Exclusive breastfeeding (OR, 0.22; 95% CI, 0.10–0.48) and deworming tablet use in the previous 6 mo (OR, 0.25; 95% CI, 0.07–0.80) decreased significantly the odds of stunting in children. Also, the body mass index of the caretaker (β = 0.08 kg/m2; 95% CI, 0.00–0.17) and dietary zinc intake (β = 1.89 mg/d; 95% CI, 0.29–3.49) were positively associated with the height-for-age z scores.
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  • On the use of unmanned aerial systems for environmental monitoring

    • Authors: Manfreda, S.;  Advisor: -;  Participants: McCabe, M. F.; Miller, P. E.; Lucas, R.; Madrigal, V. P. (2018)

  • In this context, Unmanned Aerial Systems (UAS) have considerable potential to radically improve environmental monitoring. UAS-mounted sensors offer an extraordinary opportunity to bridge the existing gap between field observations and traditional air- and space-borne remote sensing, by providing high spatial detail over relatively large areas in a cost-effective way and an entirely new capacity for enhanced temporal retrieval. As well as showcasing recent advances in the field, there is also a need to identify and understand the potential limitations of UAS technology. For these platforms to reach their monitoring potential, a wide spectrum of unresolved issues and application-specific challenges require focused community attention. Indeed, to leverage the full potential of UAS-base...
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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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  • Rock-water interaction processes based on geochemical modeling and remote sensing applications in hyper-arid environment: cases from the southeastern region of Egypt

    • Authors: Yousif, M.;  Advisor: -;  Participants: El-Aassar, A.H.M. (2018)

  • The obtained results indicate the existence of three main aquifers: Quaternary alluvial (salinity 1253 mg/l to 18,854 mg/l), Nubian Sandstone (salinity 311 mg/l to 14,388 mg/l), and fractured basement (salinity 320 mg/l to 19,375 mg/l). The results of speciation modeling showed that studied aquifers are supersaturated with gibbsite, goethite, hematite, magnetite, aragonite, calcite, dolomite, and alunite. Nubian aquifer specifically has homogeneity results due to the similarity of water-bearing and geology of watersheds (ferruginous sandstone and ironstone). Remote sensing data and digital elevation model analyses were used for generation of the thematic layers which is affecting the groundwater occurrences and quality such as geology, geomorphology, structural lineaments, slope, fl...
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