Drought Prediction and Ecological Monitoring with the Internet of Things

Sunday, 15 February 2015: 8:00 AM-9:30 AM
Room 210CD (San Jose Convention Center)
Kelly Caylor, Princeton University, Princeton, NJ
This session describes a newly developed, low-cost, cellular-enabled environmental sensor network that collects field-level data on micro-meteorology, hydrology, and vegetation health, which are assimilated in realtime to improve model-based predictions. Applications include drought forecasting and food security, forest and crop responses to weather and climate change, and rural water usage.