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Mapping Maya Hinterlands: Lidar Derived Visualization To Identify Small Scale Features In Northwestern Belize, Jeremy Mcfarland, Marisol Cortes-Rincon Ph.D.
Mapping Maya Hinterlands: Lidar Derived Visualization To Identify Small Scale Features In Northwestern Belize, Jeremy Mcfarland, Marisol Cortes-Rincon Ph.D.
Humboldt Journal of Social Relations
This paper will discuss the processes and methods of relief visualization of LiDAR-derived digital elevation models (DEM’s) and classification of secondary data to identify archaeological remains on the ancient Maya landscape in northwestern Belize. The basis of the research explores various Geographic Information System (GIS) and cartographic techniques to visualize topographical relief. Graphic terrain maps assist archaeologists with predictive settlement patterns. The Relief Visualization Toolbox (RVT 1.3) aids to visualize raster DEM datasets in the predictive identification and interpretation of small-scale archaeological features. This dataset and methodology can be utilized to answer questions of population estimates, mobility costs, and effectiveness …
Predicting Spawning Habitat For Coho Salmon (Oncorhynchus Kisutch), Chinook Salmon (Oncorhynchus Tshawytscha), And Steelhead (Oncorhynchus Mykiss) Using Geospatially Constructed Stream Morphology From High-Resolution Lidar-Derived Digital Elevation Model And Field Survey Data In The Indian Creek Watershed, Mendocino County, California, Justin Patrick Bissell Mr.
Cal Poly Humboldt theses and projects
Restoration of anadromous salmonid habitat is of primary importance to the economic, historical, and cultural geography of the Pacific Northwest. Derivation and use of geospatial habitat models as guides to pinpoint key areas where limited restoration funding can be cost-effectively employed is of great importance. To this purpose, 1 meter resolution lidar-derived Digital Elevation Model data was acquired for the Indian Creek and neighboring watersheds in Mendocino County, California, and used together with field-acquired geomorphic stream data to geospatially model stream widths, depths, and streambank morphology. These geospatial covariates were field-verified in selected locations and then used in conjunction with …
The Lumberjack, May 4, 2016, The Lumberjack Staff
The Lumberjack, May 4, 2016, The Lumberjack Staff
2016
The student newspaper of Humboldt State University