SIR2012_5290_ACAD_Inundationlines

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
U.S. Geological Survey, Maine Water Science Center, Augusta, Maine
Publication_Date: 2012
Title: SIR2012_5290_ACAD_Inundationlines
Geospatial_Data_Presentation_Form: Vector digital data
Publication_Information:
Publication_Place: Augusta, Maine
Publisher: U.S. Geological Survey
Online_Linkage: <http://pubs.usgs.gov/sir/2012/5290/>
Larger_Work_Citation:
Citation_Information:
Originator: Martha G. Nielsen
Originator: Robert W. Dudley
Publication_Date: 2012
Title:
Estimates of Future Inundation of Salt Marshes in Response to Sea Level Rise in and Around Acadia National Park, Maine
Series_Information:
Series_Name: U.S. Geological Survey Scientific Investigations Report
Issue_Identification: SIR 2012-5290
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Online_Linkage: <http://pubs.usgs.gov/sir/2012/5290/>
Description:
Abstract:
The U.S. Geological Survey (USGS) investigated salt marshes in and around Acadia National Park (ANP) from Penobscot Bay to the Schoodic Peninsula to map the potential for landward migration of marshes using a static inundation model of a sea-level rise (SLR) scenario of 60 centimeters (cm) (2 ft). This data layer contains a set of four elevation contours (inundation lines) for each marsh in the study area: (a) the current (2010) highest elevation of the marsh surface (HME) for each salt marsh in the study area, (b) inundation contours for an elevation 60 cm above the salt marsh surface, and (c) 95-percent confidence interval contours, 26 cm above and (d) below the 60-cm inundation contours. The elevation contours were derived from LiDAR data (2-meter horizontal resolution) collected in 2010. The 95-percent confidence intervals on the 60-cm inundation contours illustrate how the uncertainty in the LiDAR data translates into uncertainty in the land area that would be inundated. The inundation lines are not meant as predictions of marsh migration, only as indications of where migration may occur if conditions permit.
Purpose:
The purpose of this datalayer is to show lowland areas surrounding salt marshes in the study area that would be inundated after 60 cm of sea level rise, and would therefore provide potential areas for salt marshes to migrate into, if accretionary processes accompanying sea level rise permit. The 95-percent confidence intervals on the elevation data are also shown, to illustrate how the uncertainty in the LiDAR data translate into uncertainty in the land area that would be inundated.
Supplemental_Information:
Geodatabase product of a USGS study funded by National Park Service Climate Change Response funding, NPS PMIS # 161531, "Inventory and Protection of Salt Marshes from Risks of Sea Level Rise at Acadia National Park, Maine", 2012.
The database layers are collectively termed "appendix 1" of the USGS SIR report. Database layers included in appendix 1 include: Surveyed benchmarks used in surveying exercise (SIR2012_5290_ACAD_SurveyedBMs); Surveyed marsh points used for quality control for LiDAR data (SIR2012_5290_ACAD_Surveyedmarshpoints); Surveyed elevation reference marks for each surveyed marsh (SIR2012_5290_ACAD_SurveyedERMs); Salt marshes inventoried for this study (SIR2012_5290_ACAD_Saltmarshpolys); Inundation lines for each marsh under 60 cm of sea level rise (SIR2012_5290_ACAD_Inundationlines); Potential barriers to migration of salt marshes (SIR2012_5290_ACAD_Potentialbarriers).
The inundation lines presented are in no way a prediction of whether marsh migration will actually occur, only indications of where land will be inundated and would therefore be available for migration under 60 cm. of sea level rise.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Currentness_Reference: Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: No maintenance or update is planned.
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -68.813014
East_Bounding_Coordinate: -68.001536
North_Bounding_Coordinate: 44.586468
South_Bounding_Coordinate: 44.145271
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Categories
Theme_Keyword: elevation
Theme_Keyword: coasts
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Maine
Place_Keyword: Mount Desert Island
Place_Keyword: Acadia National Park
Place_Keyword: Penobscot Bay
Place_Keyword: Schoodic Peninsula
Place_Keyword: Swans Island
Place_Keyword: Hancock County
Place_Keyword: Knox County
Access_Constraints: None.
Use_Constraints: No legal use constraints.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Martha G. Nielsen
Contact_Organization: U.S. Geological Survey, Maine Water Science Office
Contact_Position: Hydrologist
Contact_Address:
Address_Type: Mailing and physical
Address: 196 Whitten Rd.
City: Augusta
State_or_Province: ME
Postal_Code: 04330
Contact_Voice_Telephone: 207-622-8201 x116
Contact_Facsimile_Telephone: 207-622-8204
Contact_Electronic_Mail_Address: mnielsen@usgs.gov
Data_Set_Credit:
Produced in cooperation with the National Park Service. LiDAR data for the Northeast funded largely by USGS American Reinvestment and Recovery Act funds, and provided by the Maine Office of GIS (MEGIS). These data are in the public domain unless otherwise stated; please credit the USGS and the National Park Service in products derived from these data.
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.4.4000
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
All attributes in the accompanying data layers have been checked.
Logical_Consistency_Report:
The contours are derived from the LiDAR data, and although every effort has been made to quantify the random errors inherent in the LiDAR data, any site-specific systematic errors in the LiDAR data tiles would also translate into the inundation contours.
Completeness_Report:
The inundation lines were produced for all salt marshes in ANP larger than 0.5 hectares (ha). There are inundation contours that cover 110 of the 114 salt marshes in the overall study. Some of the marshes are near one another and there may be only one set of inundation lines for both marshes. The "Marsh_num" ID for the contours represents the primary marsh, and secondary, nearby smaller marshes or other marshes covered by that particular set of contours is represened by the "marsh_num2" or "marsh_num3" items in the attribute table.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The locations are based on very-high-resolution aerial photographs and topographic data. Most positions are accurate to within 1.5 meters (m).
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Where elevations are included in the datasets, the data are accurate to within +/- 26 cm at a 95-percent confidence level.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Photo Science, Inc.
Publication_Date: Unpublished material
Title:
State of Maine (raster digital elevation model (DEM)): LIDAR for the North East – ARRA and LiDAR for the North East Part II. (USGS Contract: G10PC00026, ARRA LIDAR Task Order Numbers) USGS Contract: G10PC00026 Task Order Number: G10PD02143 Task Order Numbers: G10PD01027 (ARRA) and G10PD02143 (non-ARRA)
Geospatial_Data_Presentation_Form: Digital raster data
Other_Citation_Details:
The LiDAR data were the primary outside source information for the study. The LiDAR data have a grid cell size of 2 m. Individual data tiles are 751x751 grid cells (1.5 km x 1.5 km) in size. As of October 2012, the LiDAR data are still available only from state GIS offices. Final publication for public download has not been announced. The project area required LiDAR to be collected on 2.0-m ground sample distance (GSD) or better and processed to meet a bare earth vertical accuracy of 15 centimeters root mean squared error (RMSEz) or better. Raster DEMs were tested by Photo Science for both vertical and horizontal accuracy. All data are seamless from one tile to the next, no gaps or no data areas. The vertical unit of the data file is in decimal meters with two-decimal point precision. The reported RMSEz was 0.113 m. The USGS independently developed a RMSEz for saltmarsh land cover types to be 0.133 m.
Source_Scale_Denominator: 2400
Type_of_Source_Media: External hard drive
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20101024
Ending_Date: 20111107
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: LiDAR data for the Northeast
Source_Contribution:
The LiDAR data were the primary outside data used in the study. The main use was to create accurate contours showing areas of upland that would be inundated with 60 cm of sea level rise (SLR) adjacent to saltmarshes in and around Acadia National Park. The USGS conducted an independent accuracy assessment of the elevation data to create 95-percent confidence interval contours on the SLR inundation contours. The data tiles were joined together into larger mosaics, and shaded relief images were created to for visualization of the land surface and to identify location and shape of potential barriers to migration of salt marshes.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Maine Office of GIS
Publication_Date: 2009
Title: Low Tide Orthophotos 2008.
Online_Linkage:
<http://geolibportal.usm.maine.edu/geonetwork/srv/en/metadata.show?id=502>
Source_Scale_Denominator: 2400
Type_of_Source_Media: Digital files
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20080821
Source_Currentness_Reference: flight date
Source_Citation_Abbreviation: LT 2008
Source_Contribution:
Low-tide orthophotos from 2008 were used to delineate the polygon boundaries of most of the saltmarsh polygons used in the study, by looking at the visible changes in vegetation. They also were used to help identify the potential barriers to migration and to identify the type of barrier (road or railroad grade).
Source_Information:
Source_Citation:
Citation_Information:
Originator: USGS
Publication_Date: 2010
Title: Microsoft Bing bird's eye imagery
Geospatial_Data_Presentation_Form: High-resolution imagery
Publication_Information:
Publication_Place: Redmond, Washington
Publisher: Microsoft Corporation
Other_Citation_Details:
Copyright 2010 DigitalGlobe, Image courtesy of USGS Copyright 2012 Microsoft Corporation
Online_Linkage: <http://www.bing.com/maps/>
Source_Scale_Denominator: 1200
Type_of_Source_Media: Digital files
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Source_Currentness_Reference: Data are current for 2010 photography
Source_Citation_Abbreviation: Bing maps imagery
Source_Contribution:
The Bing map server was used to fill in detailed aerial photo information in locations where the 2008 Low Tide photos were not available and other Maine aerial photos were not detailed enough to map the boundaries of salt marshes in the study area. Two salt marshes were digitized using the Bing maps imagery.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2012
Title: SIR2012_5290_ACAD_Saltmarshpolygons
Geospatial_Data_Presentation_Form: Vector digital data
Publication_Information:
Publication_Place: Augusta, Maine
Publisher: U.S. Geological Survey, Maine Water Science Center
Online_Linkage: <http://pubs.usgs.gov/sir/2012/5290/>
Larger_Work_Citation:
Citation_Information:
Originator: U.S. Geological Survey, Maine Water Science Center
Publication_Date: 2012
Title:
Appendix 1 of USGS SIR 2012-5290, Estimates of future inundation of salt marshes in response to sea level rise in and around Acadia National Park, Maine, by Martha Nielsen and Robert Dudley.
Geospatial_Data_Presentation_Form: Vector digital data
Publication_Information:
Publication_Place: Augusta, Maine
Publisher: U.S. Geological Survey, Maine Water Science Center
Online_Linkage: <http://pubs.usgs.gov/sir/2012/5290/>
Source_Scale_Denominator: 2400
Type_of_Source_Media: digital files
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Source_Currentness_Reference:
Data created based on aerial photographs and LiDAR data collected from 2008 through2010.
Source_Citation_Abbreviation: Saltmarsh polygons
Source_Contribution:
The saltmarsh polygons contain the elevation data used for each set of inundation lines. Each saltmarsh polygon has data for: the highest marsh elevation (HME), the HME plus 60 cm (SLR_est), and the upper 95-percent confidence interval and lower 95-percent confidence interval (SLR_est + 26 cm and SLR_est - 26 cm, respectively). The inundation lines were created one saltmarsh at a time, using the data in the saltmarsh polygon attribute table.
Process_Step:
Process_Description:
The Saltmarsh polygon layer was checked and cleaned up in preparation for creating the contour lines. Elevation data in the saltmarsh polygon attribute table was checked.
Process_Date: 2011
Process_Step:
Process_Description:
A tool was created in ArcGIS, with the help of Curtis Price (USGS, South Dakota Water Science Center), that combined a series of steps for creating the inundation contours into one process that could easily be repeated for each of the 110 salt marshes in the study area.
The tool (called "Contour and Smooth") extracted data from a selected saltmarsh polygon (data containing the individual elevations to be contoured for each marsh), created a set of raw contours based on the LiDAR elevation data, smoothed the contours, and combined the smoothed contours into an output feature class for that particular marsh. This tool was run for most of the 110 salt marshes for which inundation contours were needed (some marshes were so close together that the tool could be run just once for both marshes).
Specific steps for using the tool: 1. User selects a saltmarsh polygon feature and knows which dataset contains the lidar elevation data needed for extracting the contours. 2. Run the tool: (a) The row in the saltmarsh polygon attribute table containing the selected saltmarsh is copied to an internal table for the tool's use (b) Data are extracted from this internal table for the following contours: HighMarshEl, SLR_est, SLR_conf_upper, and SLR_conf_lower. (c) The user specifies an elevation grid (the lidar data) (d) The user specifies a processing extent (a window large enough to contain the expected inundation contours around the saltmarsh selected) (e) The "Contour List" spatial analyst tool is invoked to create one contour line for each of the elevations specified in the internal table, using as elevation input the elevation grid specified. (f) Each contour is smoothed using the "Smooth line" spatial analyst tool, using 5 meters as the smoothing tolerance and PAEK as the smoothing algorithm. (g) A field "Line_Type" is added to each contour, and the tool inputs which type of line the contour represents (see "b" above). (h) All four lines are combined into one output feature layer for each marsh. The user gives the output feature class a name specific to the marsh number. (i) Lines created by the contouring/smoothing steps that are less than 50 m long are eliminated from the output feature class.
This tool can be used to create many smoothed contour feature classes containing the inundation contour lines.
Process_Date: 2011
Process_Step:
Process_Description:
The "Contour and Smooth" tool was used to create one set of contours for each marsh in the study area (some marshes were processed together if their elevation data were the same and if they were close together). Each set of contours was saved in an individual feature class, named based on the marsh number (for example "contour34_smooth" for the contours from marsh number 34).
Each set of contours was checked to make sure that the processing extent was sufficient to contain the full extent of the highest inundation contour. If any of the contours were cut off because the extent was insufficient, the tool was run again with an expanded extent.
Process_Date: 2011
Process_Step:
Process_Description:
Each set of smoothed contours was trimmed so that the contours started and ended near the appropriate saltmarsh. This was done to eliminate contours that either conflicted with contours from neighboring saltmarshes with differing elevations, and to cut the contours off so that they did not continue along the shoreline well past the saltmarsh in question.
Small closed contours above or below the inundation lines were eliminated to simplify and clarify where the extent of inundation would lie on the land surface.
Process_Date: 2011
Process_Step:
Process_Description:
A new feature dataset was created to hold all the edited saltmarsh inundation lines together, organized by the marsh number and line type. The line types were: HighMarshEl (highest marsh elevation, in meters), SLR_est (sea level rise contour for the high marsh elevation + 60 cm), SLR_conf_upper (upper 95-percent confidence interval on the SLR_est), and SLR_conf_lower (lower 95-percent confidence interval on the SLR_est). The contour elevation was retained for each individual contour ("contour" field, as was the marsh number ("marsh_num" field).
All the "contourXX_smooth" features were copied into this combined feature dataset (inundation_lines).
The resulting inundation lines dataset was checked against the saltmarsh polygons to ensure that none of the saltmarsh polygons were skipped (except those less than 0.5 ha in size that were on private property - 4 marshes).
Process_Date: 2011
Process_Step:
Process_Description:
Two fields were addd to the Inundation_Lines feature class: "marsh_num2" and "marsh_num3". These fields were populated with the marsh number of any adjacent marshes with the same elevation data that were covered by this set of lines.
Process_Date: 2012
Process_Step:
Process_Description:
The inundation lines were edited to create multipart features. For each unique "marsh_num" in the inundation lines features, all the contour lines representing each type of contour were combined, so that each marsh had one multipart feature for each line type, greatly simplifying the final dataset.
Process_Date: 2012
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: String
Point_and_Vector_Object_Count: 382
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: NAD_1983_UTM_Zone_19N
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -69.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.0001
Ordinate_Resolution: 0.0001
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: D North American 1983
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North_American_Vertical_Datum_1988
Altitude_Resolution: 1.0
Altitude_Distance_Units: Meters
Altitude_Encoding_Method: Attribute values
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: SIR 2012-5290 ACAD Inundation Lines
Entity_Type_Definition: Polyline features
Entity_Type_Definition_Source: Esri
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: Internal feature number
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: SHAPE
Attribute_Definition: Feature geometry
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features
Attribute:
Attribute_Label: Contour
Attribute_Definition:
Elevation contour, in meters above the North American Vertical Datum of 1988 (NAVD88)
Attribute_Definition_Source: User defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.6
Range_Domain_Maximum: 3.9
Attribute_Units_of_Measure: Meters above NGVD88
Attribute_Measurement_Resolution: .02
Attribute_Value_Accuracy_Information:
Attribute_Value_Accuracy: 0.26
Attribute_Value_Accuracy_Explanation:
Values were extracted from the LiDAR data, and are accurate to +/- 26 cm at the 95-percent confidence interval.
Attribute:
Attribute_Label: Line_Type
Attribute_Definition:
Attribute defining the type of contour line in relation to sea level rise estimates at the individual salt marshes.
Attribute_Definition_Source: User defined
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: HighMarshEL
Enumerated_Domain_Value_Definition:
Highest elevation of the marsh surface, as represented in the "Contour" attribute.
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: SLR_est
Enumerated_Domain_Value_Definition:
Line representing the highest marsh surface plus 60 cm of sea level rise (otherwise referred to as the sea level rise esitmate) (Value represented in the "Contour" attribute).
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: SLR_conf_upper
Enumerated_Domain_Value_Definition:
Upper 95-percent confidence interval on the sea level rise estimate, defined as SLR_est + 26 cm. (Value represented in the "Contour" attribute)
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: SLR_conf_lower
Enumerated_Domain_Value_Definition:
Lower 95-percent confidence interval on the sea level rise estimate, defined as SLR_est - 26 cm. (Value represented in the "Contour" attribute)
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Marsh_ID
Attribute_Definition:
ID number of marsh that each inundation contour lines applies to. Refers to the attribute "Marsh_ID" in the "SIR2012_5290_ACAD_Saltmarshpolygons" feature class.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2
Range_Domain_Maximum: 124
Attribute_Units_of_Measure: User-defined identification number.
Attribute:
Attribute_Label: Marsh_ID_2nd
Attribute_Definition:
ID of secondary set of marsh polygons associated with the inundation lines, if applicable. Used when several nearby marsh polygons have the same inundation elevation values.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2
Range_Domain_Maximum: 124
Attribute_Units_of_Measure: User-defined identification number.
Attribute:
Attribute_Label: Marsh_ID_3rd
Attribute_Definition:
ID of tertiary set of marsh polygons associated with the inundation lines, if applicable. Used when several nearby marsh polygons have the same inundation elevation values.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2
Range_Domain_Maximum: 124
Attribute_Units_of_Measure: User-defined identification number.
Attribute:
Attribute_Label: Shape_Length
Attribute_Definition: Length of feature in internal units (meters).
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Positive real numbers that are automatically generated
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Position: Ask USGS -- Water Webserver Team
Contact_Address:
Address_Type: Mailing address
Address: 445 National Center
City: Reston
State_or_Province: VA
Postal_Code: 20192
Country: USA
Contact_Voice_Telephone: 1-888-275-8747 (1-888-ASK-USGS)
Contact_Electronic_Mail_Address: <http://water.usgs.gov/user_feedback_form.html>
Resource_Description: Downloadable Data
Distribution_Liability:
This database, identified as “SIR2012_5290_ACAD_Inundationlines”, has been approved for release and publication by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from its authorized or unauthorized use. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ESRI File Geodatabase datalayer
Format_Information_Content: Compressed folder
File_Decompression_Technique: Winzip
Transfer_Size: 31000
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
<http://pubs.usgs.gov/sir/2012/5290/data/SIR2012_5290_ACAD_SaltmarshSLRLayers.gdb.zip>
Access_Instructions:
Compressed folder of geodatabase may be downloaded at <http://pubs.usgs.gov/sir/2012/5290> by following the instructions. Metadata are available for download separately, but also are included in the geodatabase folder. The geodatabase includes all the datalayers together for this report; they are not available separately.
Fees: None. This dataset is provided by USGS as a public service.
Metadata_Reference_Information:
Metadata_Date: 20121220
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, New England Water Science Center, Maine Office
Contact_Person: Martha Nielsen / Robert Dudley
Contact_Position: Hydrologist
Contact_Address:
Address_Type: mailing address
Address: 196 Whitten Rd.
City: Augusta
State_or_Province: ME
Postal_Code: 04330
Country: USA
Contact_Voice_Telephone: 207-622-8201
Contact_Electronic_Mail_Address: mnielsen@usgs.gov
Contact_Electronic_Mail_Address: rwdudley@usgs.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Generated by mp version 2.9.20 on Wed Mar 13 13:08:21 2013