Advances in Remote Sensing and Natural Hazards
Featuring Anup K. Prasad, Ph.D., and Menas Kafatos
School of Earth and Environmental Sciences, Schmid College of Science, Chapman University
Center of Excellence in Earth Observing, Chapman University
Free and open to the public
The space based observation of the earth and its environment has grown tremendously in the last decade. A number of Earth observing satellite missions are bringing enormous amount of data and derived products that cover various aspects of land, water and atmosphere on a global scale. Post processing and the near-real time analysis of satellite data is increasingly used to study, monitor and forecast natural hazards such as wild fires, droughts, floods, dust storms, volcanic emissions, harmful algal bloom, etc. We will be discussing various remotely sensed meteorological and land-atmosphere-ocean products, their accuracy, models, and their application in Hazard monitoring and management. There is a tremendous opportunity for the current generation to integrate the science and socio-economical data to build a decision support system using remote sensing techniques and GIS.
About the Speaker:
Anup K. Prasad received the Ph.D. degree from the Indian Institute of Technology Kanpur (2007), and is a research assistant professor at Chapman University in the School of Earth and Environmental Sciences. His area of expertise is advanced digital image processing of remotely sensed data for environmental studies. Current research includes atmospheric studies involving aerosols, dust storms, winter fog, and their radiative and climate effects. Climate change induced by greenhouse gases such as CO, CO2, CH4, and water vapor. Anomalous changes in the global temperature, precipitation, hydrological cycle and their impacts on the vegetation. Analysis of the components of land, ocean, and atmosphere processes and feedbacks using multi-sensor satellite and model data. Space based near real-time study of global hazards such as droughts, floods, forest fires, hurricanes, and algal blooms. Extensive ground truth or validation of the satellite data with available ground station records.