References:
Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E., l976, A Land Use and Land Cover classification system for use with remote sensor data: U.S. Geological Survey Professional Paper 964, 28 p.
Mitchell, W.B., Guptill, S.C., Anderson, K.E., Fegeas, R.G., and Hallam, C.A., l977, GIRAS--A geographic information retrieval and analysis system for handling Land Use and Land Cover data: U.S. Geological Survey Professional Paper l059, l6 p.
1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries.
1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger.
Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: <http://geoplan.ufl.edu/education.html>. These data are based on interpretation of available information and should not be construed as legally binding.
It is one of a few Land Use datasets available for this time period, and can be used to perform time-series land use changes by using newer Landuse datasets from Florida's Water Management Districts such as SFLU90 and SFLU95.
It is one of a few Land Use datasets available for this time period, and can be used to perform time-series land use changes by using newer Landuse datasets from Florida's Water Management Districts such as SFLU90 and SFLU95.