DocumentCode
3339782
Title
Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the appalachian trail
Author
Wang, Yeqiao ; Nemani, Ramakrishna ; Dieffenbach, Fred ; Stolte, Kenneth ; Holcomb, Glenn ; Robinson, Matt ; Reese, C. Casey ; McNiff, Marcia ; Duhaime, Roland ; Tierney, Geri ; Mitche, B. ; August, Peter ; Paton, Peter ; LaBash, Charles
Author_Institution
Dept. of Natural Resource Sci., Univ. of Rhode Island, Kingston, RI, USA
fYear
2010
fDate
25-30 July 2010
Firstpage
2095
Lastpage
2098
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.
Keywords
decision support systems; ecology; environmental management; environmental monitoring (geophysics); environmental science computing; geophysical techniques; geophysics computing; remote sensing; Appalachian Trail MEGA-Transect decision support system; MEGA-Transect DSS; NASA multiplatform sensor data; TOPS; Terrestrial Observation and Prediction System; USA; data integration; ecological condition forecasting; ecological condition monitoring; ecological condition reporting; management decision making; status reporting; trend analysis; Biological system modeling; Data models; Decision support systems; Monitoring; NASA; Predictive models; Appalachian Trail; Data Integration; TOPS; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5651835
Filename
5651835
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