Provides links to the data, models and maps on the biology, ecology, geology, mapping, hydrology, and chemistry of research studies in southern Florida.
Links to explore South Florida and the Everglades ecosystem projects arranged by topic and subtopic, including proposals, project summaries, scopes of work, work plans, publications, and contacts.
Overview of the Southeastern Amphibian Research and Monitoring Initiative, annual report, field methods and protocols, statistical design and analysis, glossary, projects, and lists of frogs, toads and salamanders.
Home page for National Wetlands Research Center's (NWRC) Spatial Analysis Branch (SAB), which uses state-of-the-art technology to assist the work of natural resource managers with spatial data and computerized analysis techniques.
Streamflow statistics and basin characteristics for most streams in specific US states using the Streamstats program. Data for areas can be selected from interactive maps and by an automated process. Includes a tutorial.
Study integrating archival reports and maps, satellite imagery, and terrain modeling to estimate resource reserves of 11,200,000 carats in two regions of the country.
The USGS Surface-water quality and flow Modeling Interest Group (SMIG) is interested in surface-water quality and flow modeling activities with links to articles, model archives, data archives, clearinghouse, mailing list, classes, and meetings.
Links to Office of Surface Water reports on streamgaging, streamflow data and information, current meters, sediment, modeling, journal articles, and techniques.
Explains 16 distinct types of scientific information that are needed to understand climate change, including the specific parameters measured, why they are needed, who measures them, and the type and amount of information that are not yet available.
Information on the Earth's crust with a contour map of the thickness plus links to a global crustal database, a global crustal model - CRUST 5.1, and regional crustal models.
Upcoming interagency study to assess status of ecological conditions, their relationships with contaminants and nutrients, anthropogenic factors affecting these, and develop models that may predict these ecological conditions.
Homepage describing The National Map, which will produce a seamless, continuously maintained set of public domain geographic base information, with links to map viewer, pilot projects, reports, fact sheets, and national atlas.
Techniques of computer-based representations of areal geology to construct three-dimensional geologic maps that retain all the information of traditional geologic maps while providing a more detailed picture of the subsurface.
To assess the effectiveness of ecological carbon sequestration, we plan to define ecosystem reporting units, model baseline and potential carbon sequestration, develop spatial models that simulate ecosystems, and integrate remote sensing data.
Field Office involved in operating GPS stations, data recording, and supplying of earthquake data. Links to GPS data analysis, photos, and technical information.
People who manage recreational areas need better, more timely estimates of the likelihood that the beach and lake waters will be hazardous to human health, and which factors cause those hazards.
The primary goal of U.S. Geological Survey (USGS) Natural Hazards Response is to ensure that the disaster response community has access to timely, accurate, and relevant geospatial products, imagery, and services during and after an emergency event.
Methods and techniques used to collect and process LiDAR elevation data, the generation of the digital elevation model (DEM) and the 2-foot contours, and the quality-assurance procedures and results.
Types and quantities of raw materials used by U.S. manufacturers and consumers, which have changed significantly as the economy has moved from one that is predominantly agricultural to one that is primarily industrial.
Usually we choose to put water monitoring stations in places where we have no data already. But it's more efficient to place stations so that they help to reduce uncertainty in the results of modeling. This analysis shows how to choose.
This report presents a visual, statistical presentation of five modeled flow-management alternatives and two reference alternatives for four selected sites on the Lower Missouri to aid in decision making for flow management of the river.
Scientific software providing graphical displays of data in NetCDF format as spatial overlays on a three-dimensional globe and views of grid-cell values in tabular form.
Brief description of project for the Federal Emergency Management Agency to prepare and modify Flood Insurance Rate Maps based on flood frequency analysis, ground surveys, and flood profiles in Virginia.
Description of the development and use of models to study watersheds supporting a broad range of applications and user skills. Includes links to related memos, training, software, projects, and references
Explains how mathematical simulations of watershed properties can help us understand the likely behavior of the water systems, putting the choices available to people in better perspective.
Links to published materials produced by the Watershed Processes and Modeling Project on watershed model TOPMODEL, compilation of STATSGO soils data, climate change, landscape heterogeneity in ecoregions, and other links.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Overview of the research group Geophysical Unit of Menlo Park (GUMP) with links to studies, models, and maps on gravity and geomagnetism in Nevada, California, Oregon, Washington and the U.S.
The U.S. Geological Survey uses remote sensing to improve fire-management databases in the Everglades, gain insights into post-fire land-cover dynamics, and develop spatial and temporal fire-scar data for habitat and hydrologic modeling.