[ISO_Topic_Category='IMAGERY/BASE MAPS/EARTH COVER']
Northern Everglades Satellite Image MapEntry ID: USGS_SOFIA_N_EvergladesSatMap
Abstract: The map is a composite image of spectral bands 3 (630-690 nanometers, red), 4 (775-900 nanometers, near-infrared), and 5 (1,550-1750 nanometers, middle-infrared) and the new panchromatic band (520-900, green to near-infrared) acquired by the Landsat 7 enhanced thematic mapper (ETM) sensor on February 05, 2000.
The objective of the project was to develop and apply innovative remote sensing and ... geographic information system techniques to map the distribution of vegetation, vegetation characteristics, and related hydrologic variables through space and time. The mapping and description of vegetation characteristics and their variations are necessary to accurately simulate surface hydrology and other surface processes in South Florida and to monitor land surface changes. As part of this research, data from many airborne and satellite imaging systems have been georeferenced and processed to facilitate data fusion and analysis. This image map was created using image fusion techniques developed as part of this project.
The TIFF versions of the map are zipped due to the large size of the files. There are two different scanning resolutions for the map - 72 DPI (screen resolution) and 200 DPI (for high-quality printing).
Data Set Citation
Dataset Originator/Creator: Jones, John Thomas, Jean-Claude (ret.), Desmond, Gregory
Dataset Title: Northern Everglades Satellite Image Map
Dataset Series Name: Miscellaneous Investigations Series
Dataset Release Date: 2001
Dataset Release Place: Reston, VA
Dataset Publisher: U.S. Geological Survey
Issue Identification: I-2756
Data Presentation Form: mapOnline Resource: http://sofia.usgs.gov/projects/remote_sens/sflsatmap.html
This description is a member of a collection. The collection is described in
Start Date: 2000-02-05
Latitude Resolution: 15 meters
Longitude Resolution: 15 meters
Quality The satellite images (Path 15, Row 42) were recorded February 05, 2000, by the enhanced thematic mapper (ETM) sensor on the Landsat 7 satellite which records 7 multispectral bands and one panchromatic channel. This image map includes spectral bands 3 (630-690 nanometers, red), 4 (775-900 nanometers, near-infrared), and 5 (1,550-1,750 nanometers, middle-infrared) and the new panchromatic band ... (520-900 nanometers, green to near-infrared). The spatial resolution of the input data is 30 m by 30 m for the multispectral bands and 15 m by 15 m for the panchromatic band. The imagery was geocorrected using ground control points identified on the USGS digital orthophoto quadrangles and on the panchromatic data. The panchromatic data were resampled to 7.5 m by 7.5 m resolution and enhanced by filtering (101 by 101 filter with 75-percent add-back) and tone stretching. Then, the spatial information in the panchromatic data was combined with the color information of the multispectral data through a wavelet transform-based image fusion technique (Lemeshewsky, 1999). This data fusion process attempts to preserve the spectral fidelity while sharpening the spatial resolution. The tones output from this process were further enhanced through histogram evaluation and contrast stretching. Panchromatic enhanced multispectral bands 5, 4, and 3 are shown in red, green and blue respectively on the image map. This process allows the image map to meet National Map Accuracy Standards for 1:100,000-scale maps.
The combination of a number of surface characteristics, such as vegetation type, vegetation density, soil water depth, and periphyton (algae and bacteria) dictates the amount and composition of light reflected to the satellite sensor and, therefore, the brightness, texture, and color shown in the image. Image subsets illustrate some of the common surface cover types using additions to floral assemblages suggested by Sunderson (1994). Where appropriate, water conditions at the time of imaging and soil type based on the county soil surveys are also noted.
Access Constraints None
Use Constraints None, however acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
Data Set Progress
Distribution Size: 72 or 200 DPI
Distribution Format: TIFF, GeoTIFF
Fees: Call 1-888-ASK-USGS or log onto http://ask.usgs.gov/prices/index.html
Role: TECHNICAL CONTACT
Email: jwjones at usgs.gov
U.S. Geological Survey 12201 Sunrise Valley Drive MS 521
Province or State: VA
Postal Code: 20192
Role: DIF AUTHOR
Email: alicia.m.aleman at nasa.gov
Goddard Space Flight Center Code 610.2
Province or State: MD
Postal Code: 20771
Gallatin, M. H., Ballard, J. K., Evans, C. B., Galberry, H. S., Hinton, J. J., Powell, D. P., Truett, E., Watts, W. L., Willson, G. C., Leighty, R. G. 1958, Soil Survey (Detailed-Reconnaissance) of Dade County Florida, Soil Survey - Detailed Reconnaissance, Series 1947, No. 4, USDA Soil Conservation Service
Gunderson, L. H. 1994, Vegetation of the Everglades: Determinants of community composition, Delray Beach, FL, St. Lucie Press, in The Everglades: The Ecosystem and Its Restoration, edited by S.
M. Davis and J. C. Ogden
Leighty, R.G, Marco, M. B., Swenson, G. A., Caldwell, R.E., Henderson, J. R., Olsen, O. C., Willson, G. C. 1954, Soil Survey (Detailed-Reconnaissance) of Collier County, Florida, Soil Survey - Detailed Reconnaissance, Series 1942, No. 5, Washington, DC, USDA Soil Conservation Service
Lemeshewsky, G. L. 1999, Multispectral multisensor image fusion using wavelet transforms, Bellingham, WA, SPIE - The International Society for Optical Engineering,
in Visual Information Processing, SPIE 3716, S. Park and R. Juday,
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2007-01-30
Last DIF Revision Date: 2016-01-27