Monitoring Extreme Climate Events and Impacts using Remote Sensing

Session ID#: 27505

Session Description:
Lately there have been significant changes of global extreme weather and climate events that include more intense and frequent heat and cold waves, regional floods, droughts, wildfires, hurricanes, dust storms, etc. The intensity and frequency of such extreme weather and climate events follow trends expected of a warming planet, and more importantly such events will continue to occur with increased likelihood and severity. Such events pose a serious threat to economic infrastructure and development in the coming decades, and also severely undermine food, fodder, and water security for a growing global population. Remote Sensing provides valuable tools to monitor, evaluate and understand ecosystem response and impacts at local, regional, and global scales based on spatio-temporal analysis of long-term imagery and related environmental data. Insights into patterns and drivers of change are needed to understand links between climate change and extreme events so that we can better plannig and management.
Primary Convener:  Mahesh Rao, University of Virginia, Charlottesville, VA, United States
Convener:  Ramesh P Singh, Chapman University, Orange, CA, United States
Co-Organized with:
Earth and Space Science Informatics, and Natural Hazards

  • B - Biogeosciences
  • NH - Natural Hazards
Index Terms:

0429 Climate dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0468 Natural hazards [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Guo Zhongqin and Yunhao Chen, Beijing Normal University, Beijing, China
Dennis Lee Corwin, USDA-ARS, U.S. Salinity Laboratory, Riverside, CA, United States and Elia Scudiero, USDA-ARS, US Salinity Laboratory, Riverside, CA, United States
Amir AghaKouchak1, Laurie S Huning2, Charlotte A Love1 and Alireza Farahmand1, (1)University of California Irvine, Irvine, CA, United States, (2)UCLA, Los Angeles, CA, United States