Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the Appalachian Trail

Yeqiao Wang; Ramakrishna Nemani; Fred Dieffenbach; Kenneth Stolte; Glenn B. Holcomb; Matt Robinson; Casey C. Reese; Marcia McNiff; Roland Duhaime; Geri Tierney; Brian Mitchell; Peter August; Peter Paton; Charles LaBash

doi:10.1109/igarss.2010.5651835

USGS · 70156486

Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the Appalachian Trail

Yeqiao Wang·Ramakrishna Nemani·Fred Dieffenbach·Kenneth Stolte·Glenn B. Holcomb·Matt Robinson·Casey C. Reese·Marcia McNiff·Roland Duhaime·Geri Tierney·Brian Mitchell·Peter August·Peter Paton·Charles LaBash

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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.

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Source-reported bounding extent: 34.23552830173496° to 45.517675988153655° latitude; -84.68665589242887° to -68.98877270269057° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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Yeqiao Wang, Ramakrishna Nemani, Fred Dieffenbach, Kenneth Stolte, Glenn B. Holcomb, Matt Robinson, Casey C. Reese, Marcia McNiff, Roland Duhaime, Geri Tierney, Brian Mitchell, Peter August, Peter Paton, Charles LaBash. 2010. Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the Appalachian Trail. https://doi.org/10.1109/igarss.2010.5651835

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