COLLECTION DEVELOPMENT POLICY FOR THE NATIONAL GEOSPATIAL DIGITAL
ARCHIVE\
Final Version - November 1, 2006

### I. Collection purpose and description of the users

The purposes of the NGDA collection are to archive broad collections of
digital geospatial data of the United States, and make it available to
users. The primary users of the NGDA are citizens - present and future -
of the United States of America. The secondary users of NGDA are all
other people who use the Web. Users of geospatial data are many; the
following brief list is a sampling:

-   From the university/academic world, undergraduate and graduate
    students and faculty, especially in those disciplines which deal
    with geographic areas, e.g., geography, anthropology, history, etc.;

-   From elementary and secondary schools, students and teachers looking
    for information about a specific country or city;

-   From the world of business and commerce, commercial vendors of
    imagery and mapping services; firms that need to know demographic
    information; realtors;

-   Non-profit, non-governmental organizations such as relief
    organizations; economic and social councils, etc.;

-   Persons and firms collecting information about the environment;

-   Government agencies - local, state, federal, international.

### II. Selection, Evaluation and Prioritization

Geospatial data are produced in large quantities from a wide-ranging
group of organizations and entities. Data producers include government
agencies, commercial vendors and individuals. It is important to
carefully evaluate the needs of the collecting institution in selecting
materials to collect and archive. In order to begin the process, the
following steps are recommended.

1\. Develop awareness of potential collections.

-   Contact and/or explore resources at local, regional, state, and
    federal agencies to find out what data are produced for the area of
    interest. Attend regional interest group meetings. Sign up for
    relevant e-lists such as GIS4lib and Maps-L. Read and subscribe to
    print and online publications focused on GIS data. Consider
    commercial sources for the area of interest.

2\. Check that a potential collection is within the Scope of Coverage
(see Section III below).\
3. Assign a priority rating to each potential collection using the
following questions as a starting point.

-   Is collection in scope for the NGDA and for the NGDA collecting
    institution?

-   Is the collection\'s geographic area of primary importance to the
    collecting institution?

-   Is the collection at risk due to either:

-   The content provider does not archive the content.

-   The file format is becoming obsolete.

4\. Obtain resources to collect first priority collections. Resources
include collection funds if the data are not free, metadata/cataloging
services, server or repository space, and resources to access the data
such as computers and relevant software.\
5. If resources are available, proceed to second priority collections.

### III. Scope of coverage

The scope of collecting is solely in the realm of geospatial digital
data. The term, \"digital geospatial data,\" is defined as digital
items, displayed as graphics, that are georeferenced or are
geographically identified. These are primarily composed of: digital
maps; remotely sensed images (e.g., aerial photographs; data collected
by satellite sensors); datasets (e.g. shapefiles, layers, geodatabases,
etc.); atlases; globes (celestial and terrestrial); aerial views (e.g.,
panoramas); block diagrams; geologic sections; topographic profiles;
etc.

A. Geography\
Primary collecting emphasis is on the geographic area of the United
States. Data may cover the entire United States including U.S.
territories; or data may be focused on a specific state, consortial area
(e.g., southern California; metropolitan New York City), county, city,
or city neighborhood.

i\. United States national or large regional extent\
Many subjects listed in Section B are available at a national level. For
example, the United States Census Bureau publishes datasets for the
geographic regions designated by their decennial census. National
datasets available through numerous national government agencies and
commercial entities cover many subjects and may be updated on a set
schedule, such as census data every 10 years. Some of these datasets may
be compiled in such a way to be of a manageable size for viewing, use,
and preservation. Examples would include numerous layers in the National
Atlas
([http://www.nationalatlas.gov/![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.nationalatlas.gov/)).
Others are very large and may require special treatment for archive
consideration. For example, the United States Geological Survey produces
and continues to update the National Elevation Dataset, served through
the National Map
([http://www.nationalmap.gov/![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.nationalmap.gov/)) website.
The full dataset, as of May 2006, is 60 gigabytes of data. It may be the
case at this point that such a dataset is too large for any one node to
archive and so should be split across a number of archives. As of Spring
2006, many national agencies producing geospatial data are working out
the policies for the archiving of their geospatial resources. Because
policies are still being created, it is recommended that important
datasets be archived at the local level to provide long-term access to
the material.

ii\. State, county, or city within the United States.\
Datasets at this level are often produced by state, county, or city
agencies. Coordination between groups often occurs because of the cost
to produce some of the more expensive datasets. For example, this may be
the case for aerial photography created at set intervals. Many states
have created geospatial clearinghouses for dissemination of popular
datasets. Preservation and retention of older datasets is not guaranteed
nor often spelled out at the clearinghouse sites. Basemap data at each
level are important to collect including transportation networks,
boundary files, water resources, parcel information, and agency-specific
data. Statewide clearinghouses are excellent sources for these data.
Counties and cities may disseminate their data over the Internet,
although it is highly likely one will need to contact these groups
directly. Copyright status should be ascertained when collecting data at
this level.

iii\. Ocean-floor coverage: off-shore areas to the limit of the United
States\' maritime boundary claim.\
Data of this type may include multi-beam surveys, sonar readings,
electronic nautical charts, and vector data delineating boundary claims.
It is created by national and state agencies, as well as academic
institutions and research institutes.

B. Subject\
Potential types of materials are split across physical and
human/cultural geography. The list has been derived from the Library of
Congress G Schedule and then modified.

i\. Physical geography

-   Mathematical geography (surveying and cartography; etc.)

-   Physiography (e.g., topography)

-   Hydrology

-   Oceanography

-   Rivers and lakes

-   Floods

-   Geology, geophysics, mineral resources, and soils

-   Climatology

-   Biogeography (land use/land cover)

-   Flora

    -   General

    -   Aquatic

-   Forests and forestry

-   Agriculture

-   Fauna

    -   General

    -   Aquatic

ii\. Human and cultural geography

-   Political geography

-   Economics

-   Real property; cadastre

-   Public lands; ethnic reservations

-   Demography; census

-   Technology; engineering; public works

-   Transportation and communication

-   Commerce and trade; finance

-   Military and naval geography

-   Historical geography

iii\. Remotely-sensed images

-   Aerial photographs

-   Satellite images

C. Date or Chronology\
Geospatial data is often subject to versioning. New versions of data
layers are released when changes occur in the original dataset. This can
be done to correct errors or to account for changes over time. Data may
be changed incrementally or on specific dates due to \"trigger-events,\"
such as the decennial census. Once it has been decided which datasets
are important to archive, a decision should be made about the frequency
with which versioning should occur. For example, Landsat imagery might
be collected once a quarter to follow seasonal changes. School district
lines may only need to be captured when boundaries are re-drawn.
Transportation routes could be updated on a yearly basis. Geospatial
data collected immediately after a natural disaster would be collected
as soon as it was made available to libraries and/or the public.

D. Format\
As part of the NGDA project, only digital materials are collected. The
digital data must be accompanied by minimum core required metadata.
Section IV covers metadata recommendations. Open source, non-proprietary
file formats that are either readily manipulated using standard
image-processing or geographic-information-system software are preferred
(e.g., geotiff, GML). Data in proprietary formats or data whose display
is dependent upon proprietary software (e.g., ArcInfo Coverage or GRID)
will be dealt with on a case-by-case basis. Some important factors will
be how commonly available and used the software is and whether the data
may be exported to a non-proprietary format. For example, the ESRI
shapefile is a proprietary format, but it is so universally used, the
current NGDA nodes will accept data in this format. Format registries
for geospatial data are presently being created to capture relevant
representational information about file formats. The Library of Congress
has posted the \"Sustainability of Digital Formats Planning for Library
of Congress Collections\" on their Web site
([http://www.digitalpreservation.gov/formats/intro/intro.shtml![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.digitalpreservation.gov/formats/intro/intro.shtml)).
At present, it contains no information about geospatial file formats,
but certainly will in the future. The Global Digital Format Registry
(GDFR) is also interested in including geospatial format information
([http://hul.harvard.edu/gdfr/![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://hul.harvard.edu/gdfr/)).
Appendix 2 includes definitions of some of the more common geospatial
data formats. File formats will change over time with new formats being
created and older formats falling into disuse. The Archives should
continually evaluate if it is possible to migrate older formats into
newer ones, decide when and if old formats will be kept, and keep
abreast of best practices in the geospatial community regarding file
formats.

E. Language\
English will be the most frequent language collected due to the nature
and focus of the grant; but it is possible that geographic coverage for
areas in the U.S. may have text portions in languages other than
English.

F. Copyright\
Materials without copyright - e.g., public domain data - comprise much
of the collection. Acquisition and access to copyrighted data will be
governed by an agreement between the NGDA collection node and the data
provider. Access to certain data may be restricted for a specified
period of time at the request of the data provider. The NGDA nodes do
not intend to be dark archives. G. Exclusions:

-   Digital information with a geographic reference, such as a text
    history of Alabama

-   Analog materials

-   Straight statistical data not tied to a geographic area

-   Data layers external to the United States

-   Data that is to remain perpetually \"dark\"

-   The HTML content from Web sites (Geospatial data gathered from Web
    sites will be collected.)

### IV. Metadata recommendations

It is important to collect as much metadata as is feasible. The NGDA
recommends a core set of metadata fields with the understanding that it
may not be available in all cases. Whether or not content lacking core
fields will be ingested into a node is up to the node itself.
Significant metadata in rough order of importance:

-   Geographic area: This includes information about the extent of the
    content. Specific node requirements could require coordinates in
    decimal degrees or words describing the extent (\"Arizona counties\"
    qualified by years).

-   Type (intellectual content): This includes maps, remote-sensing
    imagery (aerial photograph; image from satellite), layers.

-   Format: This should identify the file types included (e.g., tiff,
    jpeg, arcexport, shapefile).

-   Projection and/or coordinate system.

-   Scale and/or resolution. Resolution is often cited when dealing with
    aerial and satellite imagery.

-   Transfer media: This component details the device upon which the
    data are stored when deposited with the archive (CD-ROM, DVD-ROM,
    hard-drive, etc.).

-   Title: A title is required for each item ingested. A title may also
    be included for the whole collection.

-   Date of information: This would be the date the information was
    created.

-   Issuance information: This includes the issuing agency, the place of
    issuance, and date of issuance.

-   Data Quality information e.g. FGDC metadata elements such as
    attribute accuracy and completeness report.

-   Rights Information e.g. copyright, reproduction of data.

-   Date ingested into the archive.

-   Contact information for the content provider: This would potentially
    include a contact person(s), address, telephone/fax, email
    addresses, or Web site.

-   Collection name and description: This may be supplied by the node
    ingesting the data.

-   Controlled-list subject headings: This might be created by the
    content provider. Hopefully they would provide a full copy, but at
    the very least a full \"bibliographic\" citation.

-   Other fields: If content provider provides any fields, then they
    should also include the field name, field definition, and domain (an
    authority list).

### V. Sources for digital geospatial data

Although governmental sources of data are of primary interest, the
archive is not to be limited to data generated, or contracted, by
federal agencies of the United States, but instead will include digital
geospatial data generated by any agency or person. The emphasis will be
firstly on nationwide coverage, of any theme, and very often these are
generated by federal agencies. It is expected that nodes will collect in
this area according to their specific regional and research needs. This
may mean that part of the collecting decision is made by the scale of
the dataset.The NGDA nodes will focus on government agencies at all
levels and non-profit entities such as professional organizations or
environmentally focused non-profits, with a secondary focus on
commercial firms, and a tertiary focus on products issued by people.

### VI. Coordination and cooperation with other collections

The NGDA\'s mission is to be a collecting network. As such,
collaboration with other institutions is expected and necessary. Because
digital geospatial data sets require large amounts of server space, the
cooperation of many institutions will be necessary to build an extensive
collection. Cooperation agreements written specifically to govern the
collecting areas of the partners should include:

-   The collecting areas for each participating institution.

-   The frequency of updates and versioning for each dataset.

-   The length of the agreement.

-   The type and level of access to be provided to the collected
    materials.

-   A set interval to review the collection agreement.

-   A glossary.

### VII. Appendices

**Appendix 1:**

**Sample NGDA-node collection development policies**\
Note: Once this policy has been vetted and finalized, both UC Santa
Barbara and Stanford will write Collection Development Policies for
their nodes.

**Appendix 2: Glossary**

**Digital Elevation Model**\
Digital Elevation Models display a 3 dimension-like image of surface
elevation by using a raster grid of evenly spaced elevation values. The
values are obtained from USGS topographic maps.\
Compiled from multiple sources including:\
Retrieved June 10, 2006,
[http://edc.usgs.gov/products/elevation/dem.html![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://edc.usgs.gov/products/elevation/dem.html)\
Retrieved June 10, 2006,
<http://www.landinfo.com/resources_dictionaryAD.htm#d>![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}

**Digital Orthophoto Quadrangle**\
A digital orthophoto quadrangle (DOQ) is a computer-generated
georeferenced image of an aerial photograph in which image displacement
caused by terrain relief and camera tilts has been removed. It combines
the image characteristics of a photograph with the geometric qualities
of a map.\
Retrieved June 9, 2006, from:
[http://www.usgsquads.com/prod_doqq.htm![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.usgsquads.com/prod_doqq.htm)

**Digital Raster Graphic**\
A digital raster graphic (DRG) is a scanned image of a U.S. Geological
Survey (USGS) standard series topographic map, including all map collar
information. The image inside the map neatline is georeferenced to the
surface of the earth and fit to the Universal Transverse Mercator
projection. The horizontal positional accuracy and datum of the DRG
matches the accuracy and datum of the source map. The map is scanned at
a minimum resolution of 250 dots per inch.\
Retrieved June 9, 2006, from:
[http://topomaps.usgs.gov/drg/![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://topomaps.usgs.gov/drg/)

**GML**\
GML is an acronym for Geography Markup Language. An OpenGIS
Implementation Specification designed to store and transport geographic
information. GML is a profile (encoding) of XML.\
Compiled from multiple sources including:\
[http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=gml![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=gml)

**Georeferencing**\
To establish a relationship between page co-ordinates on a planar map
and known real-world co-ordinates. Georeferencing allows geographic data
sets to be analyzed and compared with one another.\
Compiled from multiple sources including:\
Retrieved July 31, 2006 from,
[http://www.geo.ed.ac.uk/agidexe/term?1228![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.geo.ed.ac.uk/agidexe/term?1228)\
Retrieved July 6, 2006,
[http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=georeference![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=georeference)

**Geospatial**\
Relating to physical features of the earth and their geographic
location, including both natural and man-made features. Geospatial data
refers to information derived from maps or remote sensing techniques,
such as aerial photography or satellite imagery.\
Compiled from multiple sources including:\
Webster\'s New Millennium Dictionary of English, Preview Edition (v
0.9.6)\
Copyright © 2003-2005 Lexico Publishing Group, LLC\
Retrieved June 8, 2006, from:
[http://dictionary.reference.com/search?q=geospatial&r=66![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://dictionary.reference.com/search?q=geospatial&r=66)\
Directions Magazine: the worldwide source for Geospatial Technology\
Retrieved July 26, 2006, from:
[http://www.directionsmag.com/press.releases/index.php?duty=Show&id=10412&trv=1![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.directionsmag.com/press.releases/index.php?duty=Show&id=10412&trv=1)

**Raster**\
An image formed using individual dots with color values, called cells
(or pixels). Cells are viewed in a rectangular grid with each cell
evenly spaced. Aerial photographs and satellite images are examples of
raster images used in mapping.\
Raster layers in a GIS system can depict such information as elevation,
precipitation, and temperature.\
Compiled from multiple sources including:\
Retrieved July 28, 2006 from
[http://data.geocomm.com/helpdesk/glossary-r.html![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://data.geocomm.com/helpdesk/glossary-r.html)

**Remote Sensing**\
RS is the process of using a recording device not in physical contact
with the surface being analyzed to obtain data.\
Methods include aerial photography and using sensors sensitive to
various bands of the electromagnetic spectrum. Equipment can be deployed
from aircraft, satellite or space probe.\
Compiled from multiple sources including:\
Retrieved July 28, 2006 from
[http://data.geocomm.com/helpdesk/glossary-r.html![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://data.geocomm.com/helpdesk/glossary-r.html)

**Shapefile**\
Shapefile is the name of the proprietary digital vector storage format
created by ESRI Corporation. Shapefiles are used and created in software
such as ArcView, Arc/Info, ArcGIS and other widely used GIS software.\
A shapefile consists of multiple files that together generate a data
layer in a Geographic Information System (GIS). There are three required
files that are stored and deployed together in a shapefile:\
.shp - the file that stores the feature geometry.\
.shx - the file that stores the index of the feature geometry.\
.dbf - the dBASE file that stores the attribute information of
features.\
Other files can be added to the shapefile to carry additional
information such as projection and metadata.\
Compiled from multiple sources including:\
Retrieved June 29, 2006 from,
[http://en.wikipedia.org/wiki/ESRI_shapefiles![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://en.wikipedia.org/wiki/ESRI_shapefiles)\
Retrieved June 29, 2006 from,
[http://walrus.wr.usgs.gov/infobank/programs/html/definition/shapefile.html![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://walrus.wr.usgs.gov/infobank/programs/html/definition/shapefile.html)\
Retrieved July 26, 2006, from,
[http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=shapefile![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=shapefile)

**Vector**\
Vector data (used in a GIS system) is one method used to store spatial
data. Features are defined by their boundaries only and curved lines are
represented as a series of connecting arcs. Vector data is expressed as
X,Y,Z coordinates. Examples of vector layers include schools (points),
street networks (lines), and voting districts (polygons).\
Compiled from multiple sources including:\
Retrieved June 9, 2006,
[http://www.geo.ed.ac.uk/agidexe/term?349![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.geo.ed.ac.uk/agidexe/term?349)\
Retrieved July 31, 2006,
[http://data.geocomm.com/helpdesk/glossary-v.html![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://data.geocomm.com/helpdesk/glossary-v.html)

**XML**\
XML is an acronym for Extensible Markup Language. Developed by the World
Wide Web Consortium (W3C), it is a standardized markup language for
designing text formats. It enables the interchange of data between
computer applications. XML is a set of rules for creating standard
information formats using customized tags and sharing both the format
and the data across applications.\
Compiled from multiple sources including\
[http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=xml![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://support.esri.com/index.cfm?fa=knowledgebase.gisDictionary.search&search=true&searchTerm=xml)
GIS Dictionaries and Glossaries:\
[http://www.agi.org.uk/bfora/systems/xmlviewer/default.asp?arg=DS_AGI_TRAINART_67/\_firsttitle.xsl/87![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}](http://www.agi.org.uk/bfora/systems/xmlviewer/default.asp?arg=DS_AGI_TRAINART_67/_firsttitle.xsl/87)<http://www.fgdc.gov/metadata/csdgm/glossary.html>![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}<http://www.gis.com/whatisgis/glossaries.html>![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}<http://www.landinfo.com/resources_dictionaryAD.htm>![](media/image1.png){width="7.291666666666667e-2in"
height="7.291666666666667e-2in"}

**Appendix 3:**

**Collection Levels**

0 - Out of Scope\
1 - Minimal Level\
2 - Basic Level\
3 - Study Level\
4 - Research Level\
5 - Comprehensive Level

**Appendix 4: For more information (links and bibliography)**

-   The Center for International Earth Science Information Network
    (CIESEN)\
    [http://www.ciesin.org/![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.ciesin.org/)

```{=html}
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-   Digital Curation Centre, United Kingdom\
    [http://www.dcc.ac.uk/![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.dcc.ac.uk/)

```{=html}
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-   Federal Geographic Data Committee (FGDC)\
    [http://www.fgdc.gov/![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.fgdc.gov/)

-   FGDC Content Standard\
    [http://www.fgdc.gov/standards/projects/FGDC-standards-projects/metadata/base-metadata/index_html![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.fgdc.gov/standards/projects/FGDC-standards-projects/metadata/base-metadata/index_html)

```{=html}
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-   National Archives and Records Administration (NARA)\
    Requirements for transfer of permanent electronic records,
    geospatial data:
    [http://www.archives.gov/records-mgmt/initiatives/digital-geospatial-data-records.html![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.archives.gov/records-mgmt/initiatives/digital-geospatial-data-records.html)

```{=html}
<!-- -->
```
-   National Digital Information Infrastructure and Preservation Program
    (NDIIPP)\
    [http://www.digitalpreservation.gov/![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.digitalpreservation.gov/)

```{=html}
<!-- -->
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-   National Geospatial Digital Archive (NGDA)\
    [http://www.ngda.org![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.ngda.org/)

```{=html}
<!-- -->
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-   National Library of Australia, Preserving Access to Digital
    Information (PADI)\
    [http://www.nla.gov.au/padi/index.html![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.nla.gov.au/padi/index.html)

```{=html}
<!-- -->
```
-   North Carolina Geospatial Data Archiving Project (NDGDAP)\
    [http://www.lib.ncsu.edu/ncgdap/![](media/image1.png){width="7.291666666666667e-2in"
    height="7.291666666666667e-2in"}](http://www.lib.ncsu.edu/ncgdap/)

```{=html}
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```
-   Maine GeoArchives: A collaborative project between the Maine State
    Archives and the Geolibrary Board\
    [http://www.maine.gov/sos/arc/GeoArchives/geoarch.html![](media/image1.png){width="7.152777777777777e-2in"
    height="7.152777777777777e-2in"}](http://www.maine.gov/sos/arc/GeoArchives/geoarch.html)

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-   United States National Satellite Land Remote Sensing Data Archive\
    [http://edc.usgs.gov/archive/nslrsda/![](media/image1.png){width="7.152777777777777e-2in"
    height="7.152777777777777e-2in"}](http://edc.usgs.gov/archive/nslrsda/)