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United States Department of Agriculture

Agricultural Research Service

Title: Using Digital Orthograhic Aerial Images As User Interfaces

Authors
item Wuttiwat, Teerawat - OSU COMPUTER SCIENCE
item Minoura, Toshimi - OSU COMPUTER SCIENCE
item Steiner, Jeffrey

Submitted to: American Society for Photogrammetry and Remote Sensing Proceedings
Publication Type: Proceedings
Publication Acceptance Date: February 6, 2003
Publication Date: March 31, 2003
Citation: WUTTIWAT, T., MINOURA, T., STEINER, J.J. USING DIGITAL ORTHOGRAHIC AERIAL IMAGES AS USER INTERFACES. AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING PROCEEDINGS. 2003. CD-ROM.

Interpretive Summary: We have developed a part of a web user interface that uses aerial photographs to locate farmer fields. This will allow farmers and conservation planners an easy way to identify the field to be managed. At the same time the field is located, soil and other geographically associated information are automatically entered into a database that can then be used to make estimates of the effects of farming practices on soil erosion. This map-based approach will make web tool planning easier to accept than systems that require the user to enter technical environmental information that may not be readily available.

Technical Abstract: We have developed several web-based database applications, each of which uses a map layer consisting of digital orthographic quadrangles (DOQs) as a user interface. With this interface, a user can pinpoint a location by its proximity to familiar features on the map. For example, DOQ images with such overlaid layers as county boundaries and roads allow a farmer to identify her field. Once a field is identified, the soil-type of the field can be determined from a soil-type layer. Furthermore, our applications allow map features to be added and deleted and the data associated with those features to be stored in a relational database. The data stored in the relational database can be displayed, updated, and deleted with Web forms. Thus, the objects and locations identifiable in the DOQ images can be annotated.

Last Modified: 7/28/2014
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