Filters: Tags: Data Acquisition and Development (X) > Date Range: {"choice":"year"} (X)
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Refinement of Gopher Tortoise Habitat Identification and Related Land Cover Data. The benefits of this project include: 1) much improved gopher tortoise remote habitat identification that could have a strong influence on potential listing status (with the likelihood that significantly more habitat may be identified); 2) better statewide land cover data regarding scrubby flatwoods and potentially refined mesic flatwoods and dry prairie classifications; and 3) potential spin off benefits regarding better habitat identification for related species such as gopher frogs and other xeric adapted species that might be found in on drier flatwoods and dry prairie sites.Continuation of Water Restoration Analyses. Considerable...
Categories: Data,
Project;
Tags: 2015,
Data Acquisition and Development,
Datasets/Database,
Florida panther,
LCC,
The Appalachian LCC is currently engaged in an effort to develop a draft regional conservation plan for the Cooperative using an interactive and iterative spatial prioritization framework. Using available data and modeling approaches that are well supported in the literature, researchers from Clemson University are developing conservation planning models that include site selection, ecological threat assessments, and broad ranging habitat and ecological connectivity analyses.The research team is working closely with designated technical teams from each major region in the Appalachian LCC to offer unique insights and input to help guide the interactive conservation planning process. After each round of feedback,...
The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL ELEVATION,
COASTAL ELEVATION,
The Bureau of Land Management- Arctic Field Office has a requirement for coordinating research andmonitoring projects related to the effectiveness of stipulations and surface resource impacts in theNational Petroleum Reserve - Alaska. Yellow-billed Loons are among the least common breeding birdsin the mainland United States and the U.S. breeding population is concentrated largely within theNational Petroleum Reserve – Alaska (NPR-A). Interest in developing the oil and gas reserves withinNPR-A has increased within the last 10 years, along with a need for better information with which toprotect loon populations. Fundamental to protection strategies is a good understanding of distributionand abundance.In 2007, the...
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