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hurricanes, surge, coast, flood, mean tide, environment, geoscientificInformation, oceans
To assist Federal, State and local Emergency Management officials, and related officials, in preparing for and responding to flooding from hurricane storm surge.
Hurricane Surge Inundation for coastal Maine assuming peak hurricane surge arrives coincident with mean tide. Hurricane Evacuation Study funds are provided by the Federal Emergency Management Agency, the US Army Corps of Engineers and the State. Local community officials and agencies have provided valuable data and coordination throughout the study at their own expense. The Authority for the US Army Corps of Engineers' participation in this study is Section 206 of the Flood Control Act of 1960 (Public Law 86-645). The Federal Emergency Management Agency's participation is authorized by the Disaster Relief Act of 1974 (Public Law 93-288). These laws authorize the allocation of resources for planning activities related to hurricane preparedness.
Credit should always be given to the data source and/or originator when the data is transferred or printed.
Users of the Hurricane Surge Inundation Maps should recognize that there are accuracy limitations inherent to each of the data sources used to create the maps. The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'. The basemap data, such as the shoreline, roads, rivers, streams, and schools, has a horizontal accuracy of approximately +/- 25'. Therefore, the maps should be used as a general guide, rather than an absolute representation, as to which areas can expect to be inundated (flooded) by worst-case hurricane storm surge for a particular hurricane category. In addition, users should note that there may be areas that are not shown to be inundated by hurricane surge, but are in fact surrounded by hurricane surge. Those areas may become isolated by hurricane surge. Users must assume responsibility in determining the usability of this data for their purposes. Digital maps retain the accuracy of their source materials. The best use of data mapped at scales of 1:500,000 and 1:250,000 is in statewide planning and studies; at 1:100,000 in regional planning and studies; at 1:62,500 and 1:24,000 in detailed studies and local planning; and at 1:12,000 and 1:5,000 or larger scales in parcel level studies and detailed local planning. In the use of Maine GIS data, please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the correct copy of both data and metadata from the Maine GIS Data Catalog. Updates, corrections, and feedback, incorporated in the Maine GIS database are made in accordance with "Data Standards for Maine Geographic Information Systems", 2002, and coordinated by MEGIS.
Extent
West | -70.892063 | East | -66.941265 |
North | 45.065778 | South | 42.974881 |
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:150,000,000 |
Credit should always be given to the data source and/or originator when the data is transferred or printed.
Users of the Hurricane Surge Inundation Maps should recognize that there are accuracy limitations inherent to each of the data sources used to create the maps. The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'. The basemap data, such as the shoreline, roads, rivers, streams, and schools, has a horizontal accuracy of approximately +/- 25'. Therefore, the maps should be used as a general guide, rather than an absolute representation, as to which areas can expect to be inundated (flooded) by worst-case hurricane storm surge for a particular hurricane category. In addition, users should note that there may be areas that are not shown to be inundated by hurricane surge, but are in fact surrounded by hurricane surge. Those areas may become isolated by hurricane surge. Users must assume responsibility in determining the usability of this data for their purposes. Digital maps retain the accuracy of their source materials. The best use of data mapped at scales of 1:500,000 and 1:250,000 is in statewide planning and studies; at 1:100,000 in regional planning and studies; at 1:62,500 and 1:24,000 in detailed studies and local planning; and at 1:12,000 and 1:5,000 or larger scales in parcel level studies and detailed local planning. In the use of Maine GIS data, please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the correct copy of both data and metadata from the Maine GIS Data Catalog. Updates, corrections, and feedback, incorporated in the Maine GIS database are made in accordance with "Data Standards for Maine Geographic Information Systems", 2002, and coordinated by MEGIS.
Monday through Friday
polygon feature class
Environmental Systems Research Institute, Inc. (ESRI)
Internal feature number.
ESRI
Feature geometry.
Esri
Feature geometry.
ESRI
Hurricane Category associated with the hurricane surge limit of that polygon
National Hurricane Center SLOSH Model
Hurricane Surge Inundation for coastal Maine assuming peak hurricane surge arrives coincident with mean tide. Hurricane Evacuation Study funds are provided by the Federal Emergency Management Agency, the US Army Corps of Engineers and the State. Local community officials and agencies have provided valuable data and coordination throughout the study at their own expense. The Authority for the US Army Corps of Engineers' participation in this study is Section 206 of the Flood Control Act of 1960 (Public Law 86-645). The Federal Emergency Management Agency's participation is authorized by the Disaster Relief Act of 1974 (Public Law 93-288). These laws authorize the allocation of resources for planning activities related to hurricane preparedness.
To assist Federal, State and local Emergency Management officials, and related officials, in preparing for and responding to flooding from hurricane storm surge.
Hurricane Surge Inundation Maps for the Maine Hurricane Evacuation Study were prepared by the U.S. Army Corps of Engineers, New England District. These maps were developed using GIS software by overlaying the hurricane surge water surface elevations from the SLOSH model on top of ground elevations from the USGS National Elevation Dataset to show which areas would be inundated (flooded) by hurricane storm surge. For each hurricane category, the hurricane surge elevation that results from the worst-case combination of hurricane landfall location, forward speed, and direction at each location along the coast was used in preparing the hurricane surge inundation mapping. This was done for two reasons. First, it is difficult to predict in advance at what location that the hurricane will make landfall. Second, for Emergency Management Planning purposes, it is best to plan for the worst case, and adjust Emergency Management activities based on actual conditions. Because of the large tidal range along the Maine coast, two sets of hurricane surge inundation maps were developed. One set of maps shows the areas that would be inundated by hurricane surge assuming that peak storm surge arrived coincident with mean tide, and the other set of maps shows the areas that would be inundated by hurricane surge assuming that peak storm surge arrived coincident with mean high tide. Of the two sets of maps, the most extensive inundation is shown on the mean high tide maps. The tide scenario is printed on the bottom of each map. The maps are titled "MeanTide" and "MeanHighTide". The maps were produced at a scale of 1" = 2,000". When printed at their full size, the maps are 34" x 44". There are 31 maps that cover the entire extent of coastal Maine that could expect to be inundated by hurricane storm surge under worst case conditions. A Map Index, with legend, shows the area covered by each of the 31 maps. Index and maps available in .pdf format at http://megis.maine.gov/maps .
publication date
none
Users of the Hurricane Surge Inundation Maps should recognize that there are accuracy limitations inherent to each of the data sources used to create the maps. The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'. The basemap data, such as the shoreline, roads, rivers, streams, and schools, has a horizontal accuracy of approximately +/- 25'. Therefore, the maps should be used as a general guide, rather than an absolute representation, as to which areas can expect to be inundated (flooded) by worst-case hurricane storm surge for a particular hurricane category. In addition, users should note that there may be areas that are not shown to be inundated by hurricane surge, but are in fact surrounded by hurricane surge. Those areas may become isolated by hurricane surge.
Users must assume responsibility in determining the usability of this data for their purposes. Digital maps retain the accuracy of their source materials. The best use of data mapped at scales of 1:500,000 and 1:250,000 is in statewide planning and studies; at 1:100,000 in regional planning and studies; at 1:62,500 and 1:24,000 in detailed studies and local planning; and at 1:12,000 and 1:5,000 or larger scales in parcel level studies and detailed local planning. In the use of Maine GIS data, please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the correct copy of both data and metadata from the Maine GIS Data Catalog. Updates, corrections, and feedback, incorporated in the Maine GIS database are made in accordance with "Data Standards for Maine Geographic Information Systems", 2002, and coordinated by MEGIS.
Credit should always be given to the data source and/or originator when the data is transferred or printed.
SLOSH: Because of the large tidal range along the Maine coast, two SLOSH models were run for this study. One model calculated hurricane surge elevations assuming that peak storm surge arrived coincident with mean tide, and the other calculated hurricane surge elevations assuming that peak storm surge arrived coincident with mean high tide. The SLOSH model calculates the hurricane surge elevation that would result from over 500 combinations of hurricane category, landfall location, forward speed, and direction.
Hurricane Category: One of the earlier guides developed to describe the potential storm
surge generated by hurricanes is the Saffir/Simpson Hurricane Scale, which assigns a
Hurricane Category according to the maximum sustained wind speed within the
hurricane. It was developed by Herbert Saffir, Dade County, Florida, Consulting
Engineer, and Dr. Robert H. Simpson, former Director of the National Hurricane Center.
A condensed version of the Saffir/Simpson Hurricane Scale is shown in the table below.
Saffir/Simpson Hurricane Scale
Category Maximum Sustained
Wind Speed (mph)
1 74-95
2 96-110
3 111-130
4 131-155
5 > 155
FEMA Flood Zone Coincidence: The FEMA 100- and 500-year flood zones may depict
areas beyond the hurricane surge inundation areas where coastal or inland flooding may
be expected. FEMA Flood zones were not available in electronic format for Knox and
Lincoln Counties.
The entire extent of coastal Maine that could expect to be inundated by hurricane storm surge under worst case conditions. Two Hurricane Surge Inundation GIS layers were developed from this effort one each for the mean tide and the mean high tide scenarios.
Users of the Hurricane Surge Inundation Maps should recognize that there are accuracy limitations inherent to each of the data sources used to create the maps. The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'. The basemap data, such as the shoreline, roads, rivers, streams, and schools, has a horizontal accuracy of approximately +/- 25'. Therefore, the maps should be used as a general guide, rather than an absolute representation, as to which areas can expect to be inundated (flooded) by worst-case hurricane storm surge for a particular hurricane category. In addition, users should note that there may be areas that are not shown to be inundated by hurricane surge, but are in fact surrounded by hurricane surge. Those areas may become isolated by hurricane surge.
The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'. The basemap data, such as the shoreline, roads, rivers, streams, and schools, has a horizontal accuracy of approximately +/- 25'.
Users of the Hurricane Surge Inundation Maps should recognize that there are accuracy limitations inherent to each of the data sources that was used to create the maps. The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7' and a horizontal accuracy of approximately +/- 25'.
The SLOSH model hurricane surge elevations have an accuracy of +/- 20%. The elevation data has a vertical accuracy of approximately +/- 7'.
coast, roads, rivers, streams
towns
Obtained SLOSH (Sea, Lake and Overland Surge from Hurricanes) model output from the National Hurricane Center. The data was provided in ArcView shapefile format as a polygon shapefile. The polygon shapefile represented the Penobscot Bay SLOSH Basin. Each polygon contained eight attribues. The attributes represented the water surface elevation (in feet) that would occur from the worst-case hurricane surge within each polygon for hurricane categories 1 through 4, and also for scenarious where the peak hurricane surge arrived coincident with 1) mean tide, and 2) mean high tide (the antecedent tide level). The shapefile was in a Geographic NAD 27 horizontal coordinate system.
Projected the source polygon shapefile from Geographic NAD 27 to UTM Zone 19 NAD 83 meters.
Overlaid the SLOSH polygon shapefile on top of a shapefile of the Maine GIS 1:24K coastline, and deleted many of the polygons that fell far offshore, as these were not necessary for further analysis. The polygons that were important for the creation of a hurricane sure layer were those polygons seaward of the shoreline, but in the immediate vicinity of the shoreline, and those polygons that were landward of the shoreline.
Use XTools to create a point shapfile of the centroids of the polygons.
Created eight point shapefiles from the previous point shapefile, each representing the eight permutations of Category 1 through 4 hurricane surge, and the scenarios of hurricane surge arriving coincident with 1) mean tide, and 2) mean high tide. Within each of the eight shapefiles, deleted records that contained values of "99.9" for the represented permutation, which represented areas that were not flooded in the SLOSH model runs.
The resulting eight shapefiles covered a large spatial extent - all of coastal Maine. Therefore, the eight shapefiles were divided into five sub areas along the Maine coast to facilitate interpolation of the points. This resulted in 40 shapefiles.
Interpolated each of the resulting 40 point shapefiles to produce interpolated raster surfaces (ArcInfo Grids) representing the hurricane surge water elevation for each particular hurricane scenario. Used IDW interpolation, with the following parameters: power = 2, Search radius type: Variable, Number of points: 6. Used a cell size of 10 meters to facilitate interpolation, as smaller cell sizes proved to be too computationally intensive. This resulted in 40 raster grids representing the eight permutations of hurricane category and antecedent tide level, for the five sub areas. This completed the preparation of the water surface grids. The next step was to prepare the land surface grids.
Downloaded land surface elevation data from the USGS Seamless Data Distribution System (SDDS). The downloaded data consisted of the 1/3 arc second National Elevation Dataset. The data was in ArcInfo Grid format, had vertical units of meters, and was in a Geographic NAD 83 horizontal coordinate system. Downloaded this data in several pieces due to the size constraints imposed by the SDDS website, and later merged them together (see subsequent process steps) to cover the five sub areas along the Maine coast.
Projected each of the downloaded USGS DEM's from Geographic NAD 83 to UTM Zone 19 NAD 83 meters.
Converted the vertical units of each of the projected DEM Grids from meters to feet by multiplying the Grid "Value" by 3.280839895.
Merged the DEM Grids to create land surface grids that covered each of the five sub areas along the Maine coast. This completed the preparation of the land surface elevation grids. The next step was to subtract the land surface grids from the water surface grids to create rasters depicting which areas would and would not be flooded (inundated) by worst-case hurricane surge for each of the two antecedent tide scenarios. See subsequent process steps.
Created inundation grids or lattices (called ilats here for "inundation lattices") for each of two the antecedent tide conditions (mean tide and mean high tide) and each of the five sub areas (designated a through e) along the Maine coast (for a total of ten inundation grids) by running the following AML (Arc Macro Language) program:
/* Run from D:\MaineHES1204\Inun
/* Run from Grid
setcell 10
/* a
setwindow 343340 4757118 423884 4879210
ilathi_a = con(d:\mainehes1204\slosh\c1hi_a - d:\mainehes1204\dems\dem_a > 0, 1, ~
d:\mainehes1204\slosh\c2hi_a - d:\mainehes1204\dems\dem_a > 0, 2, ~
d:\mainehes1204\slosh\c3hi_a - d:\mainehes1204\dems\dem_a > 0, 3, ~
d:\mainehes1204\slosh\c4hi_a - d:\mainehes1204\dems\dem_a > 0, 4)
ilatmean_a = con(d:\mainehes1204\slosh\c1mean_a - d:\mainehes1204\dems\dem_a > 0, 1, ~
d:\mainehes1204\slosh\c2mean_a - d:\mainehes1204\dems\dem_a > 0, 2, ~
d:\mainehes1204\slosh\c3mean_a - d:\mainehes1204\dems\dem_a > 0, 3, ~
d:\mainehes1204\slosh\c4mean_a - d:\mainehes1204\dems\dem_a > 0, 4)
/* b
setwindow 420525 4833538 475922 4925056
ilathi_b = con(d:\mainehes1204\slosh\c1hi_b- d:\mainehes1204\dems\dem_b> 0, 1, ~
d:\mainehes1204\slosh\c2hi_b- d:\mainehes1204\dems\dem_b> 0, 2, ~
d:\mainehes1204\slosh\c3hi_b- d:\mainehes1204\dems\dem_b> 0, 3, ~
d:\mainehes1204\slosh\c4hi_b- d:\mainehes1204\dems\dem_b> 0, 4)
ilatmean_b= con(d:\mainehes1204\slosh\c1mean_b- d:\mainehes1204\dems\dem_b> 0, 1, ~
d:\mainehes1204\slosh\c2mean_b- d:\mainehes1204\dems\dem_b> 0, 2, ~
d:\mainehes1204\slosh\c3mean_b- d:\mainehes1204\dems\dem_b> 0, 3, ~
d:\mainehes1204\slosh\c4mean_b- d:\mainehes1204\dems\dem_b> 0, 4)
/* c
setwindow 473811 4833891 575376 4973627
ilathi_c= con(d:\mainehes1204\slosh\c1hi_c- d:\mainehes1204\dems\dem_c> 0, 1, ~
d:\mainehes1204\slosh\c2hi_c- d:\mainehes1204\dems\dem_c> 0, 2, ~
d:\mainehes1204\slosh\c3hi_c- d:\mainehes1204\dems\dem_c> 0, 3, ~
d:\mainehes1204\slosh\c4hi_c- d:\mainehes1204\dems\dem_c> 0, 4)
Ran the following aml program to set the nodata values of the raster = "10" prior to running the ArcInfo Grid "Fill" command.
/* Run from D:\MaineHES1204\Inun
/* Run from Grid
setcell 10
setwindow maxof
set10hi_a = con(isnull(ilathi_a), 10, ilathi_a)
set10hi_b = con(isnull(ilathi_b), 10, ilathi_b)
set10hi_c = con(isnull(ilathi_c), 10, ilathi_c)
set10hi_d = con(isnull(ilathi_d), 10, ilathi_d)
set10hi_e = con(isnull(ilathi_e), 10, ilathi_e)
set10mean_a = con(isnull(ilatmean_a), 10, ilatmean_a)
set10mean_b = con(isnull(ilatmean_b), 10, ilatmean_b)
set10mean_c = con(isnull(ilatmean_c), 10, ilatmean_c)
set10mean_d = con(isnull(ilatmean_d), 10, ilatmean_d)
set10mean_e = con(isnull(ilatmean_e), 10, ilatmean_e)
Converted each of the ten inundation grids to polygon shapefiles in preparation of clipping them to the Maine Office of GIS (ME OGIS) 1:24K "METWP" (Maine Townships) polygon shapefile.
Selected polygons from the "METWP" polygon shapefile that intersected the Category 4, Mean High Tide Scenario inundation polygon shapefile, and exported that subset to a new shapefile. This shapefile constituted the flooding that extended furthest inland out of the ten inundation shapefiles. Then dissolved the polygons to remove boundaries at town lines.
Clipped each of the ten inundation shapefiles to the subset, dissolved version of "METWP" polygon shapefile.
Converted each of the ten clipped polygon inundation shapefiles into rasters (grids).
Ran the following AML program to set the nodata values of the rasters (which after the clip are the values seaward of the coastline) = "0" prior to running the ArcInfo Grid "Fill" command.
/* Run from D:\MaineHES1204\Inun
/* Run from Grid
setcell 10
setwindow maxof
set0hi_a = con(isnull(cliphi_a), 0, cliphi_a)
set0hi_b = con(isnull(cliphi_b), 0, cliphi_b)
set0hi_c = con(isnull(cliphi_c), 0, cliphi_c)
set0hi_d = con(isnull(cliphi_d), 0, cliphi_d)
set0hi_e = con(isnull(cliphi_e), 0, cliphi_e)
set0mean_a = con(isnull(clipmean_a), 0, clipmean_a)
set0mean_b = con(isnull(clipmean_b), 0, clipmean_b)
set0mean_c = con(isnull(clipmean_c), 0, clipmean_c)
set0mean_d = con(isnull(clipmean_d), 0, clipmean_d)
set0mean_e = con(isnull(clipmean_e), 0, clipmean_e)
Ran the ArcInfo Grid "Fill" command to fill any "sinks" or depressions in the inundation grids. These would occur in areas that are low, but which have higher ground between their location and the coast which would prevent coastal surge from reaching the area. In previous process steps, the land areas were set to "10", and ocean and river areas were set to "0". In between, the inundation was coded as 1 thorugh 4 according to hurricane category. Therefore, the "Fill" command ensures that all flooding "flows" from high ground to low ground, or from 10 to 4, 3, 2, 1, and 0. The AML program is below.
/* Run from D:\MaineHES1204\Inun
/* Run from Grid
setcell 10
fill set0hi_a fillhi_a sink
fill set0hi_b fillhi_b sink
fill set0hi_c fillhi_c sink
fill set0hi_d fillhi_d sink
fill set0hi_e fillhi_e sink
fill set0mean_a fillmean_a sink
fill set0mean_b fillmean_b sink
fill set0mean_c fillmean_c sink
fill set0mean_d fillmean_d sink
fill set0mean_e fillmean_e sink
Ran the following AML program to set the areas that had been set to "0" or "10" prior to the filling operation back to "nodata".
/* Run from D:\MaineHES1204\Inun
/* Run from Grid
setcell 10
finalhi_a = setnull(fillhi_a == 10 or fillhi_a == 0, fillhi_a)
finalhi_b = setnull(fillhi_b == 10 or fillhi_b == 0, fillhi_b)
finalhi_c = setnull(fillhi_c == 10 or fillhi_c == 0, fillhi_c)
finalhi_d = setnull(fillhi_d == 10 or fillhi_d == 0, fillhi_d)
finalhi_e = setnull(fillhi_e == 10 or fillhi_e == 0, fillhi_e)
finalmean_a = setnull(fillmean_a == 10 or fillmean_a == 0, fillmean_a)
finalmean_b = setnull(fillmean_b == 10 or fillmean_b == 0, fillmean_b)
finalmean_c = setnull(fillmean_c == 10 or fillmean_c == 0, fillmean_c)
finalmean_d = setnull(fillmean_d == 10 or fillmean_d == 0, fillmean_d)
finalmean_e = setnull(fillmean_e == 10 or fillmean_e == 0, fillmean_e)
Merged the five inundation grids (a through e) for the Mean Tide scenario together to form one inundation grid that covered all of coastal Maine for the Mean Tide Scenario. Merged the five inundation grids (a through e) for the Mean High Tide scenario together to form one inundation grid that covered all of coastal Maine for the Mean High Tide Scenario. Used the ArcInfo Workstation Grid command "merge" to do this. This resulted in one inundation grid for the Mean Tide Scenario and one inundation grid for the Mean High Tide Scenario.
Converted the two inundation grids to polygon shapefiles called hurrsurge_mt for "Hurricane Surge - Mean Tide scenario" and hurrsurge_mht (Hurricane Surge - Mean High Tide scenario"). This completed the preparation of the two Hurricane Surge Inundation shapefiles.
Metadata imported.
Dataset copied.
Each polygon is assigned a category number, which indicates the hurricane category, according to the Saffir-Simpson scale, at which the area would be flooded by hurricane surge.
Each polygon contains a hurricane category ranging from 1 to 4, according to the Saffir-Simpson scale.
The ArcView shapefile and ArcGIS geodatabase formats, commonly used for Maine GIS data, carry default identifiers and attributes that are software generated and/or important for internal recordkeeping. These are listed here to avoid repetition for every layer, and may not be repeated in the attribute descriptions and definitions of each layer. Common software generated identifiers and attributes in Maine GIS data include: FID (feature identifier), Shape (feature geometry), OBJECTID and SHAPE_lengt. In addition, most GIS formats will carry fields for PERIMETER, AREA and/or LENGTH according to feature geometry. These fields are typically available by default, with the units based on coordinate system or projection units of GIS data. Most GIS software packages also provide a means to calculate these values. It is important to test any columns containing PERIMETER, AREA or LENGTH values before using them for analysis purposes. These important values can be carried from format to format and become out-dated. Verify that the values are correct. Also, in your GIS software, please view the properties of data layers for the map units used to calculate these fields, and for the units set for display purposes.
Users must assume responsibility to determine the usability of this data for their purposes. Although these data have been processed successfully on a computer system at the Maine Office of Geographic Information Systems, no warranty expressed or implied is made by MEGIS regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. Neither the Maine Office of Geographic Information Systems, nor any of its contributors, is liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets.
These data are available to Internet browsers for download from the Maine GIS Internet Data Catalog - http://megis.maine.gov/catalog/
Data available from this website is in .zip compressed format. WinZip is a Windows based, PKZip-compatible compression utility. You will need a program like this to extract the data. A link to a trial copy WinZip software is available at http://megis.maine.gov/links/
If you are not already a GIS user, free software for viewing these files is available from Environmental Systems Research Institute, Inc. (ESRI) - www.esri.com
See http://megis.maine.gov/links/ for a link to ArcExplorer 9.x .
Users must assume responsibility to determine the usability of this data for their purposes.
Please contact the Maine Office of GIS (MEGIS) for access instructions.