Monitoring air and Land Surface Temperatures from remotely sensed data for climate-human health applications

P. Ceccato, C. Vancutsem, M. Temimi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Pages178-180
Number of pages3
DOIs
StatePublished - 2010
Event2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, United States
Duration: 25 Jul 201030 Jul 2010

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Country/TerritoryUnited States
CityHonolulu
Period25/07/1030/07/10

Keywords

  • Air temperature
  • Climate change
  • Human health
  • Land Surface Temperature

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