MOU DOI

== MEMORANDUM OF UNDERSTANDING BETWEEN THE U.S. DEPARTMENT OF INTERIOR OF THE UNITED STATES OF AMERICA AND THE OPEN SOURCE GEOSPATIAL FOUNDATION ==

Proposal Draft

The U.S. Department of Interior of the United States of America ( hereinafter “DOI”) represented by Thomas Dabolt, Geospatial Information Officer ( GIO) , Department of Interior

And

The Open Source Geospatial Foundation ( hereinafter “OSGeo”), represented by Venkatesh Raghavan, President ,Open Source Geospatial Foundation

1. Policy. The mission of the Department of Interior is to protect and manage the Nation's natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated Island Communities. The mission of the Open Source Geospatial Foundation is to foster global adoption of open geospatial technology by being an inclusive software foundation devoted to an open philosophy and participatory community driven development.

2. Purpose. The participating entities recognize the importance of geospatial data, the tools for processing geospatial data, the need for educational materials for teaching geospatial processing, and the need to provide geospatial data products to the public in open and fully documented data formats. This Memorandum establishes the framework for coordination and cooperation between DOI and OSGeo on the topics of publicly documented open geospatial data formats, effective use of open source geospatial software, and the sharing of educational resources concerning open source geospatial software.

3. Authority. For the Department of Interior; The Organic Act of March 2 1879 (43 USC 31 et seq.), Dec. 17th 2002, Section 209(b), Pub. L. No. 107-347, Section 214, Pub. L. No. 107-347, Section 216 , Pub. L. No. 107-347, OMB Circular A-16, A119, Economy Act of 1932, as amended (31 USC 1535), Executive Order 12906

4. Scope. This MOU serves as an umbrella agreement that sets forth the general terms and conditions under which the Parties will coordinate and cooperate in activities involving geospatial information, remote sensing, in situ monitoring, and scientific analysis, investigations, and research.

5. Definitions. a. Geospatial Information: The term “geospatial information” means information that identifies the geographic location and characteristics of natural or constructed features and includes-

1. Imagery: The term "imagery" means, except as provided in subparagraph (a.l.iii), a likeness or representation of any natural or constructed features or related object or activity and the positional data acquired at the same time the likeness or representation was acquired, including:

i. Products produced by space-based national intelligence reconnaissance systems; and ii. Likeness and representations produced by satellites, airborne platforms, unmanned aerial vehicles, or other similar means. iii. Such term does not include handheld or clandestine photography taken by or on behalf of human intelligence collection organizations.

2. Statistical data and information derived from, among other things, remote sensing, mapping, surveying technologies, in situ monitoring, and scientific analysis, investigations, and research; and

3. Mapping, charting, geodetic data, and related products.

b. Remote Sensing: The term "remote sensing" refers to the acquisition or collection of information from a distance, as from an aircraft or space, using active and passive technologies to exploit the electromagnetic spectrum.

c. In-situ monitoring: The term "in situ monitoring" refers to observations and associated measurements obtained in place at a location on the earth's surface through direct contact or interaction with an object or phenomena; this is in direct contrast with studying the object or phenomena from a distance or remotely.

d. Scientific Analysis, Investigations, and Research: The terms "scientific analysis, investigations, and research" refer to the examination of geographic, geologic, hydrologic, and biologic processes in order to model and improve understanding and predictive capability necessary to prepare for, mitigate, respond to, and recover from natural and man-made hazards