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Hydraulic Engineering

International Congress on Environmental Modelling and Software

Calibration

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Full-Text Articles in Computer Engineering

The Pocketlai Smartphone App: An Alternative Method For Leaf Area Index Estimation, Roberto Confalonieri, Caterina Francone, Marco Foi Jun 2014

The Pocketlai Smartphone App: An Alternative Method For Leaf Area Index Estimation, Roberto Confalonieri, Caterina Francone, Marco Foi

International Congress on Environmental Modelling and Software

The possibility of adopting the technology implemented in low-costs devices for the monitoring of biophysical processes is being increasingly explored by the scientific community. In the context of environmental studies, leaf area index (LAI) is one of the variables scientists and technicians are more interested in, since directly involved in radiation interception, and in crop response to water availability. An indirect method for leaf area index estimation was recently proposed and implemented in the smartphone app PocketLAI. The application uses the smartphone camera and the accelerometer to acquire images at 57.5° below the canopy while the user is rotating ...


Investigating Parameter Sensitivity For Management In Snow-Driven Watersheds, Elizabeth Houle, Joseph Kasprzyk Jun 2014

Investigating Parameter Sensitivity For Management In Snow-Driven Watersheds, Elizabeth Houle, Joseph Kasprzyk

International Congress on Environmental Modelling and Software

Recent projections of environmental change have shown possible variation to temperature and precipitation patterns due to climate change. In snowmelt-dominated watersheds, adapting to such environmental changes requires a detailed understanding of hydrological processes in addition to historical snow cover and streamflow data. Snow models are often incorporated as an additional component of hydrological modeling studies that inform research and operations management. However, previous research and parameter estimation approaches using snow models assume that parameters have a single optimal value and that each parameter is sensitive. This paper demonstrates that an improved understanding of snow model parameter sensitivity can aid in ...