Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Capítulo de livro |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-030-84152-2_12 http://hdl.handle.net/11449/240010 |
Resumo: | Studies on sugarcane burning demonstrate that the use of fire in agriculture has been condemned for centuries by soil conservation manuals since it increases the temperature and decreases the natural moisture of the soil, leading to greater compaction, loss of porosity, erosion, and consequently soil infertility. The objective of research was to evaluate the spatial and temporal distribution of fire incidences in the period from 2000 to 2018 in the Water Resources Management Unit of the Middle Paranapanema, located in the state of São Paulo—Brazil, and to carry out the future estimate of this activity through mixed linear models. For this purpose, images from the Landsat 5/TM (year 2000), 7/TM (years 2006 and 2012), and 8/OLI (year 2018) satellites and 2018 were used. Numerical data (regarding area and fire incidences) and categorical data (terrain slope) were also employed. Statistical model was used to evaluate data and was possible to identify a decrease in fires in smooth undulating terrains, corresponding to 99.9% per year, and characterized by the increase in agricultural machinery in these areas. In these lands, the model made it possible to carry out the forecast for the next 6 years, in which timeframe, considering causes/effects, there would be a decrease over 100%. On the other hand, in strong undulating terrain there was an increase of 2.07% per year, which in the next 6 years represents an increase of 12.45%, a result contrary to what the established laws provide. |
id |
UNSP_5ac8f77b0cbe81bd2bb4c2673d10915f |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/240010 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed ModelsAgricultureRemote sensingStatistical modelingStudies on sugarcane burning demonstrate that the use of fire in agriculture has been condemned for centuries by soil conservation manuals since it increases the temperature and decreases the natural moisture of the soil, leading to greater compaction, loss of porosity, erosion, and consequently soil infertility. The objective of research was to evaluate the spatial and temporal distribution of fire incidences in the period from 2000 to 2018 in the Water Resources Management Unit of the Middle Paranapanema, located in the state of São Paulo—Brazil, and to carry out the future estimate of this activity through mixed linear models. For this purpose, images from the Landsat 5/TM (year 2000), 7/TM (years 2006 and 2012), and 8/OLI (year 2018) satellites and 2018 were used. Numerical data (regarding area and fire incidences) and categorical data (terrain slope) were also employed. Statistical model was used to evaluate data and was possible to identify a decrease in fires in smooth undulating terrains, corresponding to 99.9% per year, and characterized by the increase in agricultural machinery in these areas. In these lands, the model made it possible to carry out the forecast for the next 6 years, in which timeframe, considering causes/effects, there would be a decrease over 100%. On the other hand, in strong undulating terrain there was an increase of 2.07% per year, which in the next 6 years represents an increase of 12.45%, a result contrary to what the established laws provide.Faculty of Agronomic Sciences Mestranda pela Paulista State University – UNESPSão Paulo State University – UNESPState University of Minas Gerais – UEMGFaculty of Agronomic Sciences Mestranda pela Paulista State University – UNESPSão Paulo State University – UNESPUniversidade Estadual Paulista (UNESP)Universidade Estadual de Maringá (UEM)Silva, Jéssica Alves da[UNESP]Galvanin, Edinéia Aparecida dos Santos[UNESP]Fuzzo, Daniela Fernanda da Silva2023-03-01T19:57:30Z2023-03-01T19:57:30Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart251-264http://dx.doi.org/10.1007/978-3-030-84152-2_12Springer Optimization and Its Applications, v. 184, p. 251-264.1931-68361931-6828http://hdl.handle.net/11449/24001010.1007/978-3-030-84152-2_122-s2.0-85129595079Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSpringer Optimization and Its Applicationsinfo:eu-repo/semantics/openAccess2023-03-01T19:57:30Zoai:repositorio.unesp.br:11449/240010Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:41:16.935540Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
title |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
spellingShingle |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models Silva, Jéssica Alves da[UNESP] Agriculture Remote sensing Statistical modeling |
title_short |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
title_full |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
title_fullStr |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
title_full_unstemmed |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
title_sort |
Monitoring and Estimation of Sugarcane Burning in the Middle Paranapanema Basin, Brazil, Using Linear Mixed Models |
author |
Silva, Jéssica Alves da[UNESP] |
author_facet |
Silva, Jéssica Alves da[UNESP] Galvanin, Edinéia Aparecida dos Santos[UNESP] Fuzzo, Daniela Fernanda da Silva |
author_role |
author |
author2 |
Galvanin, Edinéia Aparecida dos Santos[UNESP] Fuzzo, Daniela Fernanda da Silva |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Estadual de Maringá (UEM) |
dc.contributor.author.fl_str_mv |
Silva, Jéssica Alves da[UNESP] Galvanin, Edinéia Aparecida dos Santos[UNESP] Fuzzo, Daniela Fernanda da Silva |
dc.subject.por.fl_str_mv |
Agriculture Remote sensing Statistical modeling |
topic |
Agriculture Remote sensing Statistical modeling |
description |
Studies on sugarcane burning demonstrate that the use of fire in agriculture has been condemned for centuries by soil conservation manuals since it increases the temperature and decreases the natural moisture of the soil, leading to greater compaction, loss of porosity, erosion, and consequently soil infertility. The objective of research was to evaluate the spatial and temporal distribution of fire incidences in the period from 2000 to 2018 in the Water Resources Management Unit of the Middle Paranapanema, located in the state of São Paulo—Brazil, and to carry out the future estimate of this activity through mixed linear models. For this purpose, images from the Landsat 5/TM (year 2000), 7/TM (years 2006 and 2012), and 8/OLI (year 2018) satellites and 2018 were used. Numerical data (regarding area and fire incidences) and categorical data (terrain slope) were also employed. Statistical model was used to evaluate data and was possible to identify a decrease in fires in smooth undulating terrains, corresponding to 99.9% per year, and characterized by the increase in agricultural machinery in these areas. In these lands, the model made it possible to carry out the forecast for the next 6 years, in which timeframe, considering causes/effects, there would be a decrease over 100%. On the other hand, in strong undulating terrain there was an increase of 2.07% per year, which in the next 6 years represents an increase of 12.45%, a result contrary to what the established laws provide. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T19:57:30Z 2023-03-01T19:57:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bookPart |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-030-84152-2_12 Springer Optimization and Its Applications, v. 184, p. 251-264. 1931-6836 1931-6828 http://hdl.handle.net/11449/240010 10.1007/978-3-030-84152-2_12 2-s2.0-85129595079 |
url |
http://dx.doi.org/10.1007/978-3-030-84152-2_12 http://hdl.handle.net/11449/240010 |
identifier_str_mv |
Springer Optimization and Its Applications, v. 184, p. 251-264. 1931-6836 1931-6828 10.1007/978-3-030-84152-2_12 2-s2.0-85129595079 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Springer Optimization and Its Applications |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
251-264 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128401822711808 |