Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys?
A 0.125 degree raster or grid-based Geographic Information System with data on tsetse, trypanosomosis, animal production, agriculture and land use has recently been developed in Togo. This paper addresses the problem of generating tsetse distribution and abundance maps from remotely sensed data, usi...
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1999
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ftdoajarticles:oai:doaj.org/article:930b8f6615164591bc3827c3ff44e1cc 2023-05-15T15:07:11+02:00 Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? Guy Hendrickx Ayitou Napala David Rogers Patrick Bastiaensen Jan Slingenbergh 1999-03-01T00:00:00Z https://doi.org/10.1590/S0074-02761999000200028 https://doaj.org/article/930b8f6615164591bc3827c3ff44e1cc EN eng Instituto Oswaldo Cruz, Ministério da Saúde http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761999000200028 https://doaj.org/toc/0074-0276 https://doaj.org/toc/1678-8060 doi:10.1590/S0074-02761999000200028 0074-0276 1678-8060 https://doaj.org/article/930b8f6615164591bc3827c3ff44e1cc Memórias do Instituto Oswaldo Cruz., Vol 94, Iss 2, Pp 273-276 (1999) abundance discriminant analysis Glossina tachinoides prediction remote sensing Togo Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 article 1999 ftdoajarticles https://doi.org/10.1590/S0074-02761999000200028 2023-01-08T01:33:26Z A 0.125 degree raster or grid-based Geographic Information System with data on tsetse, trypanosomosis, animal production, agriculture and land use has recently been developed in Togo. This paper addresses the problem of generating tsetse distribution and abundance maps from remotely sensed data, using a restricted amount of field data. A discriminant analysis model is tested using contemporary tsetse data and remotely sensed, low resolution data acquired from the National Oceanographic and Atmospheric Administration and Meteosat platforms. A split sample technique is adopted where a randomly selected part of the field measured data (training set) serves to predict the other part (predicted set). The obtained results are then compared with field measured data per corresponding grid-square. Depending on the size of the training set the percentage of concording predictions varies from 80 to 95 for distribution figures and from 63 to 74 for abundance. These results confirm the potential of satellite data application and multivariate analysis for the prediction, not only of the tsetse distribution, but more importantly of their abundance. This opens up new avenues because satellite predictions and field data may be combined to strengthen or substitute one another and thus reduce costs of field surveys. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Memórias do Instituto Oswaldo Cruz 94 2 273 276 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
abundance discriminant analysis Glossina tachinoides prediction remote sensing Togo Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 |
spellingShingle |
abundance discriminant analysis Glossina tachinoides prediction remote sensing Togo Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 Guy Hendrickx Ayitou Napala David Rogers Patrick Bastiaensen Jan Slingenbergh Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
topic_facet |
abundance discriminant analysis Glossina tachinoides prediction remote sensing Togo Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 |
description |
A 0.125 degree raster or grid-based Geographic Information System with data on tsetse, trypanosomosis, animal production, agriculture and land use has recently been developed in Togo. This paper addresses the problem of generating tsetse distribution and abundance maps from remotely sensed data, using a restricted amount of field data. A discriminant analysis model is tested using contemporary tsetse data and remotely sensed, low resolution data acquired from the National Oceanographic and Atmospheric Administration and Meteosat platforms. A split sample technique is adopted where a randomly selected part of the field measured data (training set) serves to predict the other part (predicted set). The obtained results are then compared with field measured data per corresponding grid-square. Depending on the size of the training set the percentage of concording predictions varies from 80 to 95 for distribution figures and from 63 to 74 for abundance. These results confirm the potential of satellite data application and multivariate analysis for the prediction, not only of the tsetse distribution, but more importantly of their abundance. This opens up new avenues because satellite predictions and field data may be combined to strengthen or substitute one another and thus reduce costs of field surveys. |
format |
Article in Journal/Newspaper |
author |
Guy Hendrickx Ayitou Napala David Rogers Patrick Bastiaensen Jan Slingenbergh |
author_facet |
Guy Hendrickx Ayitou Napala David Rogers Patrick Bastiaensen Jan Slingenbergh |
author_sort |
Guy Hendrickx |
title |
Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
title_short |
Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
title_full |
Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
title_fullStr |
Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
title_full_unstemmed |
Can Remotely Sensed Meteorological Data Significantly Contribute to Reduce Costs of Tsetse Surveys? |
title_sort |
can remotely sensed meteorological data significantly contribute to reduce costs of tsetse surveys? |
publisher |
Instituto Oswaldo Cruz, Ministério da Saúde |
publishDate |
1999 |
url |
https://doi.org/10.1590/S0074-02761999000200028 https://doaj.org/article/930b8f6615164591bc3827c3ff44e1cc |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Memórias do Instituto Oswaldo Cruz., Vol 94, Iss 2, Pp 273-276 (1999) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761999000200028 https://doaj.org/toc/0074-0276 https://doaj.org/toc/1678-8060 doi:10.1590/S0074-02761999000200028 0074-0276 1678-8060 https://doaj.org/article/930b8f6615164591bc3827c3ff44e1cc |
op_doi |
https://doi.org/10.1590/S0074-02761999000200028 |
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Memórias do Instituto Oswaldo Cruz |
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94 |
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