[ISO_Topic_Category='IMAGERY/BASE MAPS/EARTH COVER']
South Florida Landscape DynamicsEntry ID: USGS_SOFIA_landchar_rs_04
Click to see members of this collection.
Abstract: As a general strategy, collaborative efforts with specialists in various aspects of the Everglades are combined with our knowledge of remote sensing, our development of statistical and geographic analysis techniques, and data from numerous airborne and satellite imaging systems to yield new data and knowledge of Everglades characteristics and processes. We then evaluate the utility of these ... techniques and data for CERP science and monitoring activities. Fieldwork for this effort has included the collection of high-resolution reflectance spectra for a great number of vegetation and land surfaces. Also, vegetation biomass and other structural characteristics have been non-destructively sampled at intensive field study sites. These data have been analyzed to determine their shortcomings and strengths for remote sensing and other spatially distributed analyses. Based on the results of these analyses, new methods of ground data collection appropriate for the necessary spatial and temporal extrapolations have been devised. This year, the newly developed data collection protocols and extrapolation methods will be used to test the efficacy of data fields and vegetation maps derived from remotely sensed data for CERP modeling and monitoring requirements. They will be used to generate baseline information and suggest longer-term strategies and monitoring techniques for CERP impact evaluation. Over the next two years, we will rely on greater interaction with those involved in RECOVER planning to develop a framework and initial data sets for multi-scale land cover mapping at sample sites that can be used to understand regional land cover changes and also to evaluate regional-scale land cover products.
The primary goal of this project is to provide restoration-critical information regarding past and current characteristics of the Greater Everglades land surface. Information created through this project has been used for field instrument placement, to increase the accuracy of hydrologic and other surface process simulations, and to increase our understanding of the role that vegetation and other surface features play in removal of surface water, resistance to surface water flow, water quality, habitat condition, and habitat functioning in South Florida. The project has developed innovative methods for geospatial data production and analysis of land surface characteristics at various points in time. The generated data themselves will provide the baseline information necessary to begin monitoring the effects of restoration actions. Over the next two years, project resources will be focused on the completion and documentation of specific vegetation characterization tasks and the establishment of a foundation for Everglades land surface monitoring at several scales.
Data Set Citation
Dataset Originator/Creator: John W. Jones Jean-Claude Thomas, (retired); Dan Sechrist
Dataset Title: South Florida Landscape Dynamics
Dataset Release Date: 2004-20-07
Data Presentation Form: mapsOnline Resource: http://sofia.usgs.gov/projects/index.php?project_url=remote_sens
Start Date: 1998-01-01Stop Date: 2009-12-31
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROCESSES > EVAPOTRANSPIRATION
BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > WETLANDS
BIOSPHERE > VEGETATION > BIOMASS
HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE/LAND COVER CLASSIFICATION
LAND SURFACE > LAND USE/LAND COVER
LAND SURFACE > SURFACE RADIATIVE PROPERTIES > REFLECTANCE
OCEANS > COASTAL PROCESSES > MANGROVES
BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS
ISO Topic Category
Access Constraints None
Use Constraints These data are subject to change and are not citeable until reviewed and approved for official publication.
Data Set Progress
Distribution Format: Arc View shapefile
Fees: Call 1-888-ASK-USGS or log onto http://ask.usgs.gov/prices/index.html
Role: TECHNICAL CONTACT
Email: johnj at econ.ag.gov
USDA Economic Research Service Natural Resources and Environment Division (NRED) 1301 New York Avenue, NW, Room 408
Province or State: DC
Postal Code: 20005-4788
Role: DIF AUTHOR
Email: alicia.m.aleman at nasa.gov
Goddard Space Flight Center Code 610.2
Province or State: MD
Postal Code: 20771
Jones, John W., 1999, Land Characterization for Hydrologic Modeling in the Everglades, Proceedings of the 3rd International Symposium on Ecohydraulics, CD-ROM, Salt Lake City, International Association for Hydraulic Research (IAHR).
Jones, J. W., 2000, In situ and remotely sensed data collection and analysis for periphyton mapping in the Everglades, EOS, Transactions of the American Geophysical Union, V. 81, n. 48, Washington, DC
American Geophysical Union.
Marshall, Curtis H., Pielke, Sr., Roger A.; Steyaert, Louis T., 2003, Crop freezes and land-use change in Florida, Nature, v. 426, Basingstoke, Hampshire, UK, Nature Publishing Group (Macmillan Publishers Limited), The full journal article may be viewed at the Nature website; however, either an institutional site license or journal membership is required for access to the full article.
Jones, John W., Price, Susan D., 2007, Initial Everglades Depth Estimation Network (EDEN) digital elevation model reseach and development, USGS Open-File Report, 2007-1034, Reston, VA, U.S. Geological Survey.
Jones, John W., Price, Susan D., 2007, Conceptual design of the Everglades Depth Estimation Network (EDEN) grid, USGS Open-File Report, 2007-1200, Reston, VA, U.S. Geological Survey.
Anderson, John E., Desmond, Gregory B.; Lemeshewsky, George P.; Morgan, Donald R., 199703, Reflectance Calibrated Digital Multispectral Video: A Test-Bed for High Spectral and Spatial Resolution Remote Sensing, Photogrammetric Engineering & Remote Sensing, v. 63, n. 3, Bethesda. MD, American Society for Photogrammetry and Remote Sensing (ASPRS).
Extended Metadata Properties
(Click to view more)
Creation and Review Dates
DIF Creation Date: 2008-12-02
Last DIF Revision Date: 2017-08-24