USLE C factor determined by multi-temporal AVHRR/NOAA-14 data
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , , |
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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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 |
|
_version_ |
1803046859245092864 |