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Full-Text Articles in Geography
Mapping Forest Canopy Structure With On-Demand Fusion Of Remotely Sensed Data, Gordon M. Green
Mapping Forest Canopy Structure With On-Demand Fusion Of Remotely Sensed Data, Gordon M. Green
Dissertations, Theses, and Capstone Projects
Current methods of mapping forest canopy structure often result in data products that are limited in resolution, coverage, or ease of access. On-demand processing introduces several new ways in which existing data products can be combined and re-purposed, mitigating some of these limitations. In this research, we investigate several methods of extending the spatial and temporal resolution, coverage, and accessibility of existing forest canopy datasets by processing them on demand. These methods include downscaling coarse-resolution canopy height data dynamically to estimate height at 30 m and 1 m resolution for any location within the contiguous United States. A related method …
Implementing A New Data Model For Simulating Process, Jochen Albrecht, Femke Reitsma
Implementing A New Data Model For Simulating Process, Jochen Albrecht, Femke Reitsma
Publications and Research
The paper describes the development of a new methodological approach for simulating geographic processes through the development of a data model that represents a process. This methodology complements existing approaches to dynamic modelling, which focus on the states of the system at each time step, by storing and representing the processes that are implicit in the model. The data model, called nen, focuses existing modelling approaches on representing and storing process information, which provides advantages for querying and analysing processes. The flux simulation framework was created utilizing the nen data model to represent processes. This simulator includes basic classes for …