Deriving meteorological variables across Africa for the study and control of vector‐borne disease: a comparison of remote sensing and spatial interpolation of climate

@article{Hay1999DerivingMV,
  title={Deriving meteorological variables across Africa for the study and control of vector‐borne disease: a comparison of remote sensing and spatial interpolation of climate},
  author={S. Hay and J. Lennon},
  journal={Tropical Medicine \& International Health},
  year={1999},
  volume={4}
}
  • S. Hay, J. Lennon
  • Published 1999
  • Environmental Science, Medicine
  • Tropical Medicine & International Health
Summary This paper presents the results of an investigation into the utility of remote sensing (RS) using meteorological satellites sensors and spatial interpolation (SI) of data from meteorological stations, for the prediction of spatial variation in monthly climate across continental Africa in 1990. Information from the Advanced Very High Resolution Radiometer (AVHRR) of the National Oceanic and Atmospheric Administration's (NOAA) polar‐orbiting meteorological satellites was used to estimate… Expand
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References

SHOWING 1-10 OF 71 REFERENCES
An investigation of the utility of remotely sensed meterological satellite data for predicting the distribution and abundance of the tsetse fly (Diptera: Glossinidae)
  • S. Hay
  • Environmental Science
  • 1996
This thesis investigates the potential contribution of data from the Advance Very High Resolution Radiometer (AVHRR) on-board the National Oceanic and Atmospheric Administrations (NOAA)Expand
Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease.
TLDR
How satellite-based predictions have proved valuable in understanding the distribution of tsetse fly species in Côte d'Ivoire and Burkina Faso will be the subject of a future review. Expand
Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data.
  • S. Hay, R. Snow, D. Rogers
  • Environmental Science, Medicine
  • Transactions of the Royal Society of Tropical Medicine and Hygiene
  • 1998
TLDR
Researchers predict the seasonality of malaria in Kenya using remotely sensed images from satellite sensors using relationships established between long-term data on paediatric severe malaria admissions and simultaneously collected data from the Advanced Very High Resolution Radiometer on polar-orbiting meteorological satellites. Expand
Relating Point to Area Average Rainfall in Semiarid West Africa and the Implications for Rainfall Estimates Derived from Satellite Data
Abstract The variability of rainfall over small areas (100 km2) in the West African Sahel has been investigated using a dense network of raingages in the Republic of Niger. Rainfall was as well orExpand
Rainfall monitoring based on Meteosat data: a comparison of techniques applied to the Western Sahel
Abstract This study was undertaken to evaluate a number of techniques to monitor rainfall over West Africa using automated processing of full-resolution digital data from the Meteosat satellite,Expand
Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data.
TLDR
The thermal data appeared to be the most useful of the predictor variables, followed by vegetation and rainfall indices, after the advanced, very-high-resolution radiometers on board the National Oceanic and Atmospheric Administration's polar-orbiting, meteorological satellites. Expand
A 1961-90 climatology for Africa south of the Equator and a comparison of potential evapotranspiration estimates
TLDR
A 1961-90 mean monthly climatology for Africa south of the Equator was constructed for a suite of eight surface climate variables and fields of mean monthly potential evapotranspiration (PET) for the region are constructed using a number of different calculation methods. Expand
Objectively determined 10-day African rainfall estimates created for famine early warning systems
Abstract A method of estimation of accumulated precipitation which incorporates numerical model analyses, satellite and surface data has been developed for the African continent. An estimate forExpand
Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer
The Advanced Very High Resolution Radiometer (AVHRR) on the NOAA 7 satellite acquires 1-km spatial resolution data in “split window” channels at 10.8 and 11.9 μm. Data from these spectral channelsExpand
advanced very high resolution radiometer AVHRR
The spacecraft and instruments Meterological satellites The Advanced Very High Resolution Radiometer (AVHRR) The ARGOS data collection and platform location system The TIROS Operational VerticalExpand
...
1
2
3
4
5
...