USLE C factor determined by multi-temporal AVHRR/NOAA-14 data

Detalhes bibliográficos
Autor(a) principal: Cavalli, Antonio Carlos
Data de Publicação: 2000
Outros Autores: Garcia, Gilberto José [UNESP], Zullo Jumor, Jurandir, Lombardi Neto, Francisco
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/228538
Resumo: This paper presents a methodology for the integration of AVHRR/NOAA-14 sensor data and USLE (Universal Soil Loss Equation) for identifying soil degradation and mapping erosion risks. The study area was the Piracicaba river watershed (5,457 km 2) located in São Paulo State, Brazil. Thirty percent of the region is covered with sugarcane plantations, which are the raw-material provider both for cane-sugar mills as for carburant-alcohol distilleries. To apply USLE equation, remote sensing and GIS techniques were used. The USLE C factor (use and management) indicates the soil protection provided by the vegetative cover and it changes gradually with the biomass yield. NDVI (Normalised Difference Vegetation Index) was selected to determine C factor since it is commonly used due its high sensitivity in monitoring green biomass. Channels 1 and 2 digital counts from seven AVHRR multi-temporal images from may/1996 to September/1997 were transformed from grey levels to percent of reflectance, since reflectance data are more suitable to get NDVI. Radiometric calibration was applied following the procedures of NOAA/NESDIS (National Environmental Satellite Data and Information Service). Through the NDVI data it was possible to characterise the sugarcane biomass growth and the values of predicting soil losses in a two-harvest period. Five classes of erosion risks were determined: (Class 1: 50.6% of sugarcane crop area; Class 2: 20.6%; Class 3: 24.3%; Class 4: 4.1%; Class 5: 0.3%). The correlation between erosion risk classes and soil types showed that sugarcane is mostly cultivated on soils with better physical characteristics, preferably on less steep slopes.
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spelling USLE C factor determined by multi-temporal AVHRR/NOAA-14 dataAgricultureBiomassErosionMulti-temporalSoil conservationThis paper presents a methodology for the integration of AVHRR/NOAA-14 sensor data and USLE (Universal Soil Loss Equation) for identifying soil degradation and mapping erosion risks. The study area was the Piracicaba river watershed (5,457 km 2) located in São Paulo State, Brazil. Thirty percent of the region is covered with sugarcane plantations, which are the raw-material provider both for cane-sugar mills as for carburant-alcohol distilleries. To apply USLE equation, remote sensing and GIS techniques were used. The USLE C factor (use and management) indicates the soil protection provided by the vegetative cover and it changes gradually with the biomass yield. NDVI (Normalised Difference Vegetation Index) was selected to determine C factor since it is commonly used due its high sensitivity in monitoring green biomass. Channels 1 and 2 digital counts from seven AVHRR multi-temporal images from may/1996 to September/1997 were transformed from grey levels to percent of reflectance, since reflectance data are more suitable to get NDVI. Radiometric calibration was applied following the procedures of NOAA/NESDIS (National Environmental Satellite Data and Information Service). Through the NDVI data it was possible to characterise the sugarcane biomass growth and the values of predicting soil losses in a two-harvest period. Five classes of erosion risks were determined: (Class 1: 50.6% of sugarcane crop area; Class 2: 20.6%; Class 3: 24.3%; Class 4: 4.1%; Class 5: 0.3%). The correlation between erosion risk classes and soil types showed that sugarcane is mostly cultivated on soils with better physical characteristics, preferably on less steep slopes.Instituto Agronomico de Campinas Centro de Solos e Recursos Agroambientais (CSRA)Universidade Estadual Paulista Centro de Planejamento Ambiental (CEAPLA)Universidade Estadual de Campinas Centro de Pesquisas em Agricultura (CEPAGRI)Universidade Estadual Paulista Centro de Planejamento Ambiental (CEAPLA)Centro de Solos e Recursos Agroambientais (CSRA)Universidade Estadual Paulista (UNESP)Universidade Estadual de Campinas (UNICAMP)Cavalli, Antonio CarlosGarcia, Gilberto José [UNESP]Zullo Jumor, JurandirLombardi Neto, Francisco2022-04-29T08:27:18Z2022-04-29T08:27:18Z2000-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject165-171International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 165-171.1682-1750http://hdl.handle.net/11449/2285382-s2.0-85046288737Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-04-15T20:08:28Zoai:repositorio.unesp.br:11449/228538Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-15T20:08:28Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
title USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
spellingShingle USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
Cavalli, Antonio Carlos
Agriculture
Biomass
Erosion
Multi-temporal
Soil conservation
title_short USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
title_full USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
title_fullStr USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
title_full_unstemmed USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
title_sort USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
author Cavalli, Antonio Carlos
author_facet Cavalli, Antonio Carlos
Garcia, Gilberto José [UNESP]
Zullo Jumor, Jurandir
Lombardi Neto, Francisco
author_role author
author2 Garcia, Gilberto José [UNESP]
Zullo Jumor, Jurandir
Lombardi Neto, Francisco
author2_role author
author
author
dc.contributor.none.fl_str_mv Centro de Solos e Recursos Agroambientais (CSRA)
Universidade Estadual Paulista (UNESP)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Cavalli, Antonio Carlos
Garcia, Gilberto José [UNESP]
Zullo Jumor, Jurandir
Lombardi Neto, Francisco
dc.subject.por.fl_str_mv Agriculture
Biomass
Erosion
Multi-temporal
Soil conservation
topic Agriculture
Biomass
Erosion
Multi-temporal
Soil conservation
description This paper presents a methodology for the integration of AVHRR/NOAA-14 sensor data and USLE (Universal Soil Loss Equation) for identifying soil degradation and mapping erosion risks. The study area was the Piracicaba river watershed (5,457 km 2) located in São Paulo State, Brazil. Thirty percent of the region is covered with sugarcane plantations, which are the raw-material provider both for cane-sugar mills as for carburant-alcohol distilleries. To apply USLE equation, remote sensing and GIS techniques were used. The USLE C factor (use and management) indicates the soil protection provided by the vegetative cover and it changes gradually with the biomass yield. NDVI (Normalised Difference Vegetation Index) was selected to determine C factor since it is commonly used due its high sensitivity in monitoring green biomass. Channels 1 and 2 digital counts from seven AVHRR multi-temporal images from may/1996 to September/1997 were transformed from grey levels to percent of reflectance, since reflectance data are more suitable to get NDVI. Radiometric calibration was applied following the procedures of NOAA/NESDIS (National Environmental Satellite Data and Information Service). Through the NDVI data it was possible to characterise the sugarcane biomass growth and the values of predicting soil losses in a two-harvest period. Five classes of erosion risks were determined: (Class 1: 50.6% of sugarcane crop area; Class 2: 20.6%; Class 3: 24.3%; Class 4: 4.1%; Class 5: 0.3%). The correlation between erosion risk classes and soil types showed that sugarcane is mostly cultivated on soils with better physical characteristics, preferably on less steep slopes.
publishDate 2000
dc.date.none.fl_str_mv 2000-01-01
2022-04-29T08:27:18Z
2022-04-29T08:27:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 165-171.
1682-1750
http://hdl.handle.net/11449/228538
2-s2.0-85046288737
identifier_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 165-171.
1682-1750
2-s2.0-85046288737
url http://hdl.handle.net/11449/228538
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 165-171
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
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