Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil
This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction i...
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Instituto Oswaldo Cruz, Ministério da Saúde
2010
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ftdoajarticles:oai:doaj.org/article:6bee669795ec4025b56d49247d950e76 2023-05-15T15:09:35+02:00 Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil Ricardo JPS Guimarães Corina C Freitas Luciano V Dutra Ronaldo GC Scholte Ronaldo S Amaral Sandra C Drummond Yosio E Shimabukuro Guilherme C Oliveira Omar S Carvalho 2010-07-01T00:00:00Z https://doi.org/10.1590/S0074-02762010000400028 https://doaj.org/article/6bee669795ec4025b56d49247d950e76 EN eng Instituto Oswaldo Cruz, Ministério da Saúde http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400028 https://doaj.org/toc/0074-0276 https://doaj.org/toc/1678-8060 doi:10.1590/S0074-02762010000400028 0074-0276 1678-8060 https://doaj.org/article/6bee669795ec4025b56d49247d950e76 Memórias do Instituto Oswaldo Cruz., Vol 105, Iss 4, Pp 512-518 (2010) schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 article 2010 ftdoajarticles https://doi.org/10.1590/S0074-02762010000400028 2023-01-08T01:27:37Z This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction images were created using a Linear Spectral Mixture Model (LSMM) from the blue, red and infrared channels of the Moderate Resolution Imaging Spectroradiometer spaceborne sensor and the relationship between these images and the prevalence of schistosomiasis and the presence of B. glabrata was analysed. First, we found a high correlation between the vegetation fraction image and EVI and second, a high correlation between soil fraction image and NDVI. The results also indicate that there was a positive correlation between prevalence and the vegetation fraction image (July 2002), a negative correlation between prevalence and the soil fraction image (July 2002) and a positive correlation between B. glabrata and the shade fraction image (July 2002). This paper demonstrates that the LSMM variables can be used as a substitute for the standard vegetation indices (EVI and NDVI) to determine and delimit risk areas for B. glabrata and schistosomiasis in MG, which can be used to improve the allocation of resources for disease control. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Memórias do Instituto Oswaldo Cruz 105 4 512 518 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 |
spellingShingle |
schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 Ricardo JPS Guimarães Corina C Freitas Luciano V Dutra Ronaldo GC Scholte Ronaldo S Amaral Sandra C Drummond Yosio E Shimabukuro Guilherme C Oliveira Omar S Carvalho Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
topic_facet |
schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology Arctic medicine. Tropical medicine RC955-962 Microbiology QR1-502 |
description |
This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction images were created using a Linear Spectral Mixture Model (LSMM) from the blue, red and infrared channels of the Moderate Resolution Imaging Spectroradiometer spaceborne sensor and the relationship between these images and the prevalence of schistosomiasis and the presence of B. glabrata was analysed. First, we found a high correlation between the vegetation fraction image and EVI and second, a high correlation between soil fraction image and NDVI. The results also indicate that there was a positive correlation between prevalence and the vegetation fraction image (July 2002), a negative correlation between prevalence and the soil fraction image (July 2002) and a positive correlation between B. glabrata and the shade fraction image (July 2002). This paper demonstrates that the LSMM variables can be used as a substitute for the standard vegetation indices (EVI and NDVI) to determine and delimit risk areas for B. glabrata and schistosomiasis in MG, which can be used to improve the allocation of resources for disease control. |
format |
Article in Journal/Newspaper |
author |
Ricardo JPS Guimarães Corina C Freitas Luciano V Dutra Ronaldo GC Scholte Ronaldo S Amaral Sandra C Drummond Yosio E Shimabukuro Guilherme C Oliveira Omar S Carvalho |
author_facet |
Ricardo JPS Guimarães Corina C Freitas Luciano V Dutra Ronaldo GC Scholte Ronaldo S Amaral Sandra C Drummond Yosio E Shimabukuro Guilherme C Oliveira Omar S Carvalho |
author_sort |
Ricardo JPS Guimarães |
title |
Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
title_short |
Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
title_full |
Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
title_fullStr |
Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
title_full_unstemmed |
Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil |
title_sort |
evaluation of a linear spectral mixture model and vegetation indices (ndvi and evi) in a study of schistosomiasis mansoni and biomphalaria glabrata distribution in the state of minas gerais, brazil |
publisher |
Instituto Oswaldo Cruz, Ministério da Saúde |
publishDate |
2010 |
url |
https://doi.org/10.1590/S0074-02762010000400028 https://doaj.org/article/6bee669795ec4025b56d49247d950e76 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Memórias do Instituto Oswaldo Cruz., Vol 105, Iss 4, Pp 512-518 (2010) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400028 https://doaj.org/toc/0074-0276 https://doaj.org/toc/1678-8060 doi:10.1590/S0074-02762010000400028 0074-0276 1678-8060 https://doaj.org/article/6bee669795ec4025b56d49247d950e76 |
op_doi |
https://doi.org/10.1590/S0074-02762010000400028 |
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Memórias do Instituto Oswaldo Cruz |
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