TY - GEN
T1 - Source detection of atmospheric releases using symbolic machine learning classification and remote sensing
AU - Bowman, Mark C.
AU - Cervone, Guido
AU - Franzese, Pascale
PY - 2009/12/1
Y1 - 2009/12/1
N2 - This paper introduces the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and its use for the identification of the source of atmospheric pollutants. NPOESS is the next generation satellite program, and can be used for the source detection of atmospheric pollutants. The iterative methodology proposed herein uses a combination of ground measurements, atmospheric models, machine learning and remote sensing to identify the characteristics of an unknown atmospheric emission.
AB - This paper introduces the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and its use for the identification of the source of atmospheric pollutants. NPOESS is the next generation satellite program, and can be used for the source detection of atmospheric pollutants. The iterative methodology proposed herein uses a combination of ground measurements, atmospheric models, machine learning and remote sensing to identify the characteristics of an unknown atmospheric emission.
UR - http://www.scopus.com/inward/record.url?scp=77950937781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950937781&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2009.5417884
DO - 10.1109/IGARSS.2009.5417884
M3 - Conference contribution
AN - SCOPUS:77950937781
SN - 9781424433957
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Y2 - 12 July 2009 through 17 July 2009
ER -