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New Challenges of Environment and Climate Change Detection with Satellite Remote Sensing Measurements. COLLEGE OF SCIENCE. http://cos.gmu.edu. Department:. Highlight:. Atmospheric, Oceanic and Earth Sciences Bioinformatics and Computational Biology Chemistry and Biochemistry
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New Challenges of Environment and Climate Change Detection with Satellite Remote Sensing Measurements
COLLEGE OF SCIENCE http://cos.gmu.edu Department: Highlight: • Atmospheric, Oceanic and Earth Sciences • Bioinformatics and Computational Biology • Chemistry and Biochemistry • Computational and Data Sciences • Environmental Science and Policy • Geography and Geoinformation Science • Mathematical Sciences • Molecular and Microbiology • Physics and Astronomy • Climate Dynamics Chair, Part of Nobel-Winning IPCC, 2007 • Remote sensing and GIS have been focuses in College of Science. • Mason Researcher and his team seek New Ways to Fight AIDS
Ground observation Model simulation Land use/cover ESTC MISSION Combining remote sensing, GIS, model-simulation, ground measurement, and expert knowledge tomeet the needs for global and regional environment and climate change and their impact studies. Remote sensing Environment and ecology Climate monitoring
ESTC Capabilities • Science: • Global and regional environmental monitoring • Global and regional climate monitoring • Climate change effects and impacts assessment • Technology: • Cross-sensor comparison/validation/calibration • Measurement continuity • Climate data records
Remote Sensing Products of ESTC/EastFIRE Lab • Soil Moisture • Drought Indexes • Sand and Dust Storm • True Color Images • Vegetation Indices • Vegetation Moisture • Fuel Temperature • Fuel Load • Fuel Moisture • Active Fire Location • Thermal Anomaly • Fire Danger • Burned Area • Air Quality (smoke and pollution) • Biomass • Phenology
Cw Soil Moisture and Drought Monitoring from Space Water deficit index trapezoid combining RS VI index and The thermal data (from Susan Ustin) R1640nm-R2130nm θ: soil moisture; Cw: leaf water content Wang, Lingli and John J. Qu, 2007, NMDI: A Normalized Multi-band Drought Index for Monitoring Soil and Vegetation Moisture with Satellite Remote Sensing. Geophysical Research Letters, 34, L20405. ( DOI:10.1029/2007GL031021 ).
Red dawn: The Sydney Opera House at sunrise on 09/23/2009, top, as a red sand and dust strom shrouded the city, and, bottom, how the iconic venue normally looks (09/23/2009) Caused by climate change ??? Impact assessment of agrometeorology ???
Global and regional environmental monitoring Proposed Normalized difference dust index (NDDI) for remotely sensing dust storms (Qu et al., 2006, IEEE)
Global and regional climate monitoring Designed a drought index NMDI (normalized multi-band drought index) for drought, wildland fire monitoring Aug, 2003 Sep, 2003 Aug, 2004 Sep, 2004 (Wang, L.and J. Qu., 2007, GRL) (Wang et al., 2008, Agricultural and Forest Meteorology)
Climate change effects and impacts assessment Proposed an assessment algorithm to identify hurricane caused forest damage (Wang W. and Qu. J, 2010 )
SM-RMAS (Soil Moisture- Remotely Monitoringand Analysis is a near real time operational system including: (1) satellite remote sensing data processing sub-system, (2) ground measurement database; (3), SM computing sub-system, (4) SM prediction sub-system, and (5) SM analysis and DSS sub-system (1, 2 and 3 in progress and 4 and 5 future plan).
Summary and Discussion • It is a new challenge to bridge satellite remote sensing and CAgM. • We need to integrate satellite RS, GIS, model simulations, ground measurements and Decision Support System for supporting CAgM. • GMU will strongly support CAgM/WMO research and training activities. • ESTC web page: http://estc.gmu.edu • EastFIRE Lab: http://eastfire.gmu.edu