Life Sciences Commons^™

Prototype For Monitoring And Forecasting Fall Foliage Coloration In Real Time From Satellite Data, Xiaoyang Zhang, Mitchell D. Goldberg, Yunyue Yu

GSCE Faculty Publications

While determining vegetation phenology from the time series of historical satellite data has been widely investigated throughout the last decade, little effort has been devoted to real-time monitoring and short-term forecasting. The latter is more important for numerical weather modeling, ecosystem forecasting, forest and crop management, and health risk warning. In this study we developed a prototype approach for the real-time monitoring and short-term forecasting of fall foliage status (including low coloration, moderate coloration, near-peak coloration, peak coloration, and post-peak coloration) using temporal satellite observations. The algorithm combined the climatology of vegetation phenology and temporally available satellite observations to establish …

Team Science: Research 2012, University Office For Research, South Dakota State University

Research: South Dakota State University

CONTENTS:

Wheat [Page] 2
Nutrition [Page] 4
Health Sciences [Page] 5
Mathematics and Statistics [Page] 6
Biofuels [Page] 8
Photovoltaics [Page] 10
Mountain Lions [Page] 12
GISc Center of Excellence [Page] 14
By the Numbers [Page] 16

The Journal Of Undergraduate Research: Volume 10

The Journal of Undergraduate Research

This is the complete issue of the South Dakota State University Journal of Undergraduate Research, Volume 10.