Filters: Tags: geospatial analysis (X)
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Atlantic Ocean,
Barrier Island,
CMHRP,
Cape Lookout,
Cape Lookout,
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Assawoman Island,
Assawoman Island,
Atlantic Ocean,
Barrier Island,
Bayesian Network,
This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. Maps of historic shoreline locations from the mid-1800s to 1978 were produced from multiple data sources, and in 2001, a 1994 shoreline was added to enable the calculation of long- and short-term shoreline change rates. In 2013, the U.S. Geological Survey (USGS), in cooperation with CZM, delineated an additional oceanfront shoreline using 2007...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CMGP,
Coastal and Marine Geology Program,
MA,
Massachusetts,
NOAA,
This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. Maps of historic shoreline locations from the mid-1800s to 1978 were produced from multiple data sources, and in 2001, a 1994 shoreline was added to enable the calculation of long- and short-term shoreline change rates. In 2013, the U.S. Geological Survey (USGS), in cooperation with CZM, delineated an additional oceanfront shoreline using 2007...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CMGP,
Coastal and Marine Geology Program,
MA,
Massachusetts,
NOAA,
Mangrove species dominance on Pohnpei island, Federated States of Micronesia was modeled with two geospatial model types: k-nearest neighbor (KNN) and random forest (RF) and a common set of predictors. Dominant mangroves were defined as species comprising the largest basal area per field plot. The KNN model produced one map, which shows all species' dominance locations in one raster layer. The KNN model results were the best based on field data and in field knowledge of the area. The KNN RStudio model and resulting map are shared here. The RF map and RStudio model can be found at https://doi.org/10.5066/P9JAE5JC.
Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and because of their structure, have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs, or...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Agriculture,
Artificial drainage,
Beaufort,
Bertie,
Bladen,
Since 2008, large-scale restoration programs have been implemented along the Willamette River, Oregon, to address historical losses of floodplain habitats for native fish. For much of the Willamette River floodplain, direct enhancement of floodplain habitats through restoration activities is needed because the underlying hydrologic, geomorphic, and vegetation processes that historically created and sustained complex floodplain habitats have been fundamentally altered by dam construction, bank protection, large wood removal, land conversion, and other influences (for example, Hulse and others, 2002; Wallick and others, 2013). For gravel-bed rivers like the Willamette River, planimetric changes (defined here as geomorphic...
Note: this data release has been depecrated. Find the updated version here: https://doi.org/10.5066/P9FJCM8N. The Skykomish and Snoqualmie River basins in western Washington provide spawning, rearing, and migration habitat for several salmonid species, including Endangered Species Act-listed Chinook salmon, steelhead trout, and bull trout. The production, abundance, distribution, and the health of fish and other aquatic life is strongly influenced by water temperature, which affects their physiology and behavior. The Washington State Department of Ecology establishes water temperature criteria and Total Maximum Daily Load standards for designated aquatic life uses, varying between 12 and 17.5 degrees Celsius, depending...
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