Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the Appalachian Trail
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Abstract
This paper introduces a collaborative multi-agency effort to develop an Appalachian Trail (A.T.) MEGA-Transect Decision Support System (DSS) for monitoring, reporting and forecasting ecological conditions of the A.T. and the surrounding lands. The project is to improve decisionmaking on management of the A.T. by providing a coherent framework for data integration, status reporting and trend analysis. The A.T. MEGA-Transect DSS is to integrate NASA multi-platform sensor data and modeling through the Terrestrial Observation and Prediction System (TOPS) and in situ measurements from A.T. MEGA-Transect partners to address identified natural resource priorities and improve resource management decisions.
Study Area
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the Appalachian Trail |
| DOI | 10.1109/IGARSS.2010.5651835 |
| Year Published | 2010 |
| Language | English |
| Publisher | IEEE |
| Contributing office(s) | Core Science Analytics and Synthesis, Core Science Analytics, Synthesis, and Libraries |
| Description | 3 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International |
| First page | 2095 |
| Last page | 2098 |
| Conference Title | 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010) |
| Conference Location | Honolulu, Hawai'i |
| Conference Date | July 25-30, 2010 |
| Country | United States |
| State | Connecticut, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Virginia |
| Other Geospatial | Appalachian Trail |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |