Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084953
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dc.contributor.authorVICENTE, L. E.
dc.contributor.authorSTOLF, M. T.
dc.contributor.authorLOEBMANN, D. G. dos S. W.
dc.contributor.authorMANZATTO, C. V.
dc.contributor.authorVICENTE, A. K.
dc.date.accessioned2018-01-11T23:37:39Z-
dc.date.available2018-01-11T23:37:39Z-
dc.date.created2018-01-10
dc.date.issued2017
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 60115.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084953-
dc.descriptionClimatic 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSpectral indices
dc.subjectPhyllosilicates
dc.subjectNon photosynthetically active vegetation
dc.subjectÍndices espectrais
dc.subjectQuartzo
dc.subjectFilossilicatos
dc.subjectVegetação não fotossinteticamente ativa
dc.subjectImagem de satélitept_BR
dc.subjectQuatzpt_BR
dc.titleMapping landscape features related to soil carbon using ASTER thermal infrared images.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-01-11T23:37:39Zpt_BR
dc.subject.thesagroSensoriamento remoto
dc.subject.thesagroSolo
dc.subject.thesagroCarbono
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusCarbon
dc.subject.nalthesaurusSoil
dc.subject.nalthesaurusAgriculture
dc.format.extent2p. 7605-7612.
riaa.ainfo.id1084953
riaa.ainfo.lastupdate2018-01-10
dc.contributor.institutionLUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI.
Appears in Collections:Artigo em anais de congresso (CNPMA)

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