Please use this identifier to cite or link to this item: http://repositorio.unitau.br/jspui/handle/20.500.11874/2714
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dc.contributor.authorNumata, Izayapt_BR
dc.contributor.authorSoares, Joao Vianeipt_BR
dc.contributor.authorRoberts, Darpt_BR
dc.contributor.authorLeônidas, Francisco das Chagaspt_BR
dc.contributor.authorChadwick, Oliverpt_BR
dc.contributor.authorBatista, Getulio Teixeirapt_BR
dc.date.accessioned2019-09-12T16:53:41Z-
dc.date.available2019-09-12T16:53:41Z-
dc.date.issued2003-
dc.citation.volume87pt_BR
dc.citation.issue4pt_BR
dc.citation.spage446-
dc.citation.epage455-
dc.identifier.doi10.1016/j.rse.2002.07.001pt_BR
dc.identifier.issn0034-4257-
dc.identifier.urihttp://repositorio.unitau.br/jspui/handle/20.500.11874/2714-
dc.description.abstractThis study analyzed the relationships between soil fertility and remotely sensed measures over three pasture chronosequence sites in the state of Rondonia, in the western Brazilian Amazon region. Remotely sensed measures included shade, nonphotosynthetic vegetation (NPV), green vegetation (GV) and soil (derived from spectral mixture analysis), and the normalized difference vegetation index (NDVI). These were correlated against soil fertility parameters such as phosphorus, potassium, calcium, and base saturation. In temporal analysis, it was observed that NPV dominated the spectral responses of pasture canopies and tended to increase with pasture age as well. The increase of NPV appeared to be related to the decline of soil fertility, but soil texture variation also played a role. In the correlation analysis, soil P, known as the most limiting nutrient for pasture productivity, showed the highest correlation with remotely sensed measures, followed by soil K and base saturation. However, this result was not observed at the sites where nutrient availability was very low. (C) 2003 Elsevier Inc. All rights reserved.en
dc.description.provenanceMade available in DSpace on 2019-09-12T16:53:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2003en
dc.languageInglêspt_BR
dc.publisherElsevier Science Inc-
dc.publisher.countryEstados Unidospt_BR
dc.relation.ispartofRemote Sensing of Environment-
dc.rightsEm verificaçãopt_BR
dc.sourceWeb of Sciencept_BR
dc.subject.otherPasture Chronosequenceen
dc.subject.otherSoil Fertility Dynamicsen
dc.subject.otherRemotely Sensed Measuresen
dc.subject.otherSpectral Mixture Analysisen
dc.subject.otherVegetationen
dc.subject.otherPatternsen
dc.subject.otherAmazoniaen
dc.subject.otherForesten
dc.subject.otherAvirisen
dc.subject.otherDeforestationen
dc.subject.otherReflectanceen
dc.subject.otherSuccessionen
dc.subject.otherImagesen
dc.titleRelationships among soil fertility dynamics and remotely sensed measures across pasture chronosequences in Rondonia, Brazilen
dc.typeArtigo de Periódicopt_BR
dc.contributor.orcidSOARES, Joao https://orcid.org/0000-0003-3880-0006pt_BR
dc.contributor.researcheridSOARES, Joao/D-2576-2014pt_BR
dc.contributor.researcheridLukes, Petr/B-1771-2010pt_BR
dc.identifier.wosWOS:000186827400005-
dc.description.affiliationUniv Calif Santa Barbara, Dept Geog, EH 3611, Santa Barbara, CA 93106 USA; Inst Nacl Pesquisas Espaciais, Sao Paulo, Brazil; Empresa Brasileira Pesquisa Agropecuaria, Ctr Pesquisa Sistema Agroflorestal, Rondonia, Brazil; Universidade de Taubaté (Unitau), Sao Paulo, Brazil-
dc.subject.wosareaEnvironmental Sciencesen
dc.subject.wosareaRemote Sensingen
dc.subject.wosareaImaging Science & Photographic Technologyen
dc.subject.researchareaEnvironmental Sciences & Ecologyen
dc.subject.researchareaRemote Sensingen
dc.subject.researchareaImaging Science & Photographic Technologyen
Appears in Collections:Artigos de Periódicos

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