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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Fundação Oswaldo Cruz (FIOCRUZ)
2010-07-01
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| Series: | Memorias do Instituto Oswaldo Cruz |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400028 |
| _version_ | 1797718361609601024 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T08:49:54Z |
| format | Article |
| id | doaj.art-6bee669795ec4025b56d49247d950e76 |
| institution | Directory Open Access Journal |
| issn | 0074-0276 1678-8060 |
| language | English |
| last_indexed | 2024-03-12T08:49:54Z |
| publishDate | 2010-07-01 |
| publisher | Fundação Oswaldo Cruz (FIOCRUZ) |
| record_format | Article |
| series | Memorias do Instituto Oswaldo Cruz |
| spelling | doaj.art-6bee669795ec4025b56d49247d950e762023-09-02T16:21:42ZengFundação Oswaldo Cruz (FIOCRUZ)Memorias do Instituto Oswaldo Cruz0074-02761678-80602010-07-01105451251810.1590/S0074-02762010000400028Evaluation 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, BrazilRicardo JPS GuimarãesCorina C FreitasLuciano V DutraRonaldo GC ScholteRonaldo S AmaralSandra C DrummondYosio E ShimabukuroGuilherme C OliveiraOmar S CarvalhoThis 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400028schistosomiasisgeographical information systemlinear spectral mixture modelBiomphalaria glabrataepidemiology |
| spellingShingle | 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 Memorias do Instituto Oswaldo Cruz schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology |
| 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_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_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_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 |
| topic | schistosomiasis geographical information system linear spectral mixture model Biomphalaria glabrata epidemiology |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400028 |
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