TY - GEN
T1 - Monitoring air and Land Surface Temperatures from remotely sensed data for climate-human health applications
AU - Ceccato, P.
AU - Vancutsem, C.
AU - Temimi, M.
PY - 2010
Y1 - 2010
N2 - This study proposes a methodology to infer maximum air temperature from space using observations from polar orbiting satellite MODIS. A previous study showed that minimum Land Surface Temperature (LST) derived from MODIS night-time images provides a good surrogate for minimum air temperature while the retrieval of maximum air temperature is less straightforward. The objective of this work is to estimate maximum air temperatures through the extrapolation of the minimum temperature derived from MODIS according to the diurnal cycle. The diurnal cycle parameters (i.e. phase and amplitude) which are used to estimate the maximum air temperature are determined locally using data from the WORDCLIM database. The proposed approach is applied over four different areas in Africa (Eritrea, Ethiopia, Botswana and Madagascar) based on measurements collected in 28 different stations over the period 2002-2008. An acceptable agreement between maximum air temperature estimated and observed temperatures was noticed. This implies that satellite imagery has an interesting potential in inferring maximum air temperature at an interesting temporal and spatial resolution.
AB - This study proposes a methodology to infer maximum air temperature from space using observations from polar orbiting satellite MODIS. A previous study showed that minimum Land Surface Temperature (LST) derived from MODIS night-time images provides a good surrogate for minimum air temperature while the retrieval of maximum air temperature is less straightforward. The objective of this work is to estimate maximum air temperatures through the extrapolation of the minimum temperature derived from MODIS according to the diurnal cycle. The diurnal cycle parameters (i.e. phase and amplitude) which are used to estimate the maximum air temperature are determined locally using data from the WORDCLIM database. The proposed approach is applied over four different areas in Africa (Eritrea, Ethiopia, Botswana and Madagascar) based on measurements collected in 28 different stations over the period 2002-2008. An acceptable agreement between maximum air temperature estimated and observed temperatures was noticed. This implies that satellite imagery has an interesting potential in inferring maximum air temperature at an interesting temporal and spatial resolution.
KW - Air temperature
KW - Climate change
KW - Human health
KW - Land Surface Temperature
UR - http://www.scopus.com/inward/record.url?scp=78650855812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650855812&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2010.5649810
DO - 10.1109/IGARSS.2010.5649810
M3 - Conference contribution
AN - SCOPUS:78650855812
SN - 9781424495658
SN - 9781424495665
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 178
EP - 180
BT - 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
T2 - 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Y2 - 25 July 2010 through 30 July 2010
ER -