Mapping landscape features related to soil carbon using ASTER thermal infrared images.

Climatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsible for 23% of gross GHG emissions, and land use and soil management are the main factors that drive these emissions levels. Soil carbon is mainly stocked as soil organic matter (SOM), and SOM stocks are related to clay content in soil and soil management. In order to improve the monitoring of these factors, we propose the use of ASTER TIR images data to map quartz, phyllosilicated clays, and non-photosynthetically active vegetation (NPAV) in order to assess remote sensing techniques to large-scale mapping of environments with greater or less soil carbon accumulation. We used thermal bands ratios to get quartz, phyllosilicated clays, and NPAV image fractions, that were compared to ASTER VNIR images and to the soil classes map of the study area. Results show that areas with higher values in quartz image fraction are related to bare soils areas in quartz-enriched soils. Higher values in phyllosilicates image fraction are related to bare soils areas with clay soils and higher values in NPAV image fraction are consistent to the vegetation activity throughout the study area, including crop residues areas detected in large-scale farms.

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Bibliographic Details
Main Authors: VICENTE, L. E., STOLF, M. T., LOEBMANN, D. G. dos S. W., MANZATTO, C. V., VICENTE, A. K.
Other Authors: LUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI.
Format: Separatas biblioteca
Language:English
eng
Published: 2018-01-10
Subjects:Spectral indices, Phyllosilicates, Non photosynthetically active vegetation, Índices espectrais, Quartzo, Filossilicatos, Vegetação não fotossinteticamente ativa, Imagem de satélite, Quatz., Sensoriamento remoto, Solo, Carbono., Remote sensing, Carbon, Soil, Agriculture.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084953
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spelling dig-alice-doc-10849532018-01-11T23:37:46Z Mapping landscape features related to soil carbon using ASTER thermal infrared images. VICENTE, L. E. STOLF, M. T. LOEBMANN, D. G. dos S. W. MANZATTO, C. V. VICENTE, A. K. LUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI. Spectral indices Phyllosilicates Non photosynthetically active vegetation Índices espectrais Quartzo Filossilicatos Vegetação não fotossinteticamente ativa Imagem de satélite Quatz. Sensoriamento remoto Solo Carbono. Remote sensing Carbon Soil Agriculture. Climatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsible for 23% of gross GHG emissions, and land use and soil management are the main factors that drive these emissions levels. Soil carbon is mainly stocked as soil organic matter (SOM), and SOM stocks are related to clay content in soil and soil management. In order to improve the monitoring of these factors, we propose the use of ASTER TIR images data to map quartz, phyllosilicated clays, and non-photosynthetically active vegetation (NPAV) in order to assess remote sensing techniques to large-scale mapping of environments with greater or less soil carbon accumulation. We used thermal bands ratios to get quartz, phyllosilicated clays, and NPAV image fractions, that were compared to ASTER VNIR images and to the soil classes map of the study area. Results show that areas with higher values in quartz image fraction are related to bare soils areas in quartz-enriched soils. Higher values in phyllosilicates image fraction are related to bare soils areas with clay soils and higher values in NPAV image fraction are consistent to the vegetation activity throughout the study area, including crop residues areas detected in large-scale farms. 2018-01-11T23:37:39Z 2018-01-11T23:37:39Z 2018-01-10 2017 2018-01-11T23:37:39Z Separatas In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 60115. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084953 en eng openAccess p. 7605-7612.
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Spectral indices
Phyllosilicates
Non photosynthetically active vegetation
Índices espectrais
Quartzo
Filossilicatos
Vegetação não fotossinteticamente ativa
Imagem de satélite
Quatz.
Sensoriamento remoto
Solo
Carbono.
Remote sensing
Carbon
Soil
Agriculture.
Spectral indices
Phyllosilicates
Non photosynthetically active vegetation
Índices espectrais
Quartzo
Filossilicatos
Vegetação não fotossinteticamente ativa
Imagem de satélite
Quatz.
Sensoriamento remoto
Solo
Carbono.
Remote sensing
Carbon
Soil
Agriculture.
spellingShingle Spectral indices
Phyllosilicates
Non photosynthetically active vegetation
Índices espectrais
Quartzo
Filossilicatos
Vegetação não fotossinteticamente ativa
Imagem de satélite
Quatz.
Sensoriamento remoto
Solo
Carbono.
Remote sensing
Carbon
Soil
Agriculture.
Spectral indices
Phyllosilicates
Non photosynthetically active vegetation
Índices espectrais
Quartzo
Filossilicatos
Vegetação não fotossinteticamente ativa
Imagem de satélite
Quatz.
Sensoriamento remoto
Solo
Carbono.
Remote sensing
Carbon
Soil
Agriculture.
VICENTE, L. E.
STOLF, M. T.
LOEBMANN, D. G. dos S. W.
MANZATTO, C. V.
VICENTE, A. K.
Mapping landscape features related to soil carbon using ASTER thermal infrared images.
description Climatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsible for 23% of gross GHG emissions, and land use and soil management are the main factors that drive these emissions levels. Soil carbon is mainly stocked as soil organic matter (SOM), and SOM stocks are related to clay content in soil and soil management. In order to improve the monitoring of these factors, we propose the use of ASTER TIR images data to map quartz, phyllosilicated clays, and non-photosynthetically active vegetation (NPAV) in order to assess remote sensing techniques to large-scale mapping of environments with greater or less soil carbon accumulation. We used thermal bands ratios to get quartz, phyllosilicated clays, and NPAV image fractions, that were compared to ASTER VNIR images and to the soil classes map of the study area. Results show that areas with higher values in quartz image fraction are related to bare soils areas in quartz-enriched soils. Higher values in phyllosilicates image fraction are related to bare soils areas with clay soils and higher values in NPAV image fraction are consistent to the vegetation activity throughout the study area, including crop residues areas detected in large-scale farms.
author2 LUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI.
author_facet LUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI.
VICENTE, L. E.
STOLF, M. T.
LOEBMANN, D. G. dos S. W.
MANZATTO, C. V.
VICENTE, A. K.
format Separatas
topic_facet Spectral indices
Phyllosilicates
Non photosynthetically active vegetation
Índices espectrais
Quartzo
Filossilicatos
Vegetação não fotossinteticamente ativa
Imagem de satélite
Quatz.
Sensoriamento remoto
Solo
Carbono.
Remote sensing
Carbon
Soil
Agriculture.
author VICENTE, L. E.
STOLF, M. T.
LOEBMANN, D. G. dos S. W.
MANZATTO, C. V.
VICENTE, A. K.
author_sort VICENTE, L. E.
title Mapping landscape features related to soil carbon using ASTER thermal infrared images.
title_short Mapping landscape features related to soil carbon using ASTER thermal infrared images.
title_full Mapping landscape features related to soil carbon using ASTER thermal infrared images.
title_fullStr Mapping landscape features related to soil carbon using ASTER thermal infrared images.
title_full_unstemmed Mapping landscape features related to soil carbon using ASTER thermal infrared images.
title_sort mapping landscape features related to soil carbon using aster thermal infrared images.
publishDate 2018-01-10
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084953
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AT stolfmt mappinglandscapefeaturesrelatedtosoilcarbonusingasterthermalinfraredimages
AT loebmanndgdossw mappinglandscapefeaturesrelatedtosoilcarbonusingasterthermalinfraredimages
AT manzattocv mappinglandscapefeaturesrelatedtosoilcarbonusingasterthermalinfraredimages
AT vicenteak mappinglandscapefeaturesrelatedtosoilcarbonusingasterthermalinfraredimages
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