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dc.contributor.author
Gasparri, Nestor Ignacio
dc.contributor.author
Parmuchi, Maria Gabriela
dc.contributor.author
Bono, Julieta
dc.contributor.author
Karszenbaum, Haydee
dc.contributor.author
Montenegro, Celina Laura
dc.date.available
2017-06-28T18:42:06Z
dc.date.issued
2010-01
dc.identifier.citation
Gasparri, Nestor Ignacio; Parmuchi, Maria Gabriela; Bono, Julieta; Karszenbaum, Haydee; Montenegro, Celina Laura; Assessing multi-temporal Landsat 7 ETM + images for estimating above-ground biomass in subtropical dry forests of Argentina; Elsevier; Journal of Arid Environments; 74; 10; 1-2010; 1262-1270
dc.identifier.issn
0140-1963
dc.identifier.uri
http://hdl.handle.net/11336/19025
dc.description.abstract
Above-ground biomass (AGB) is important to estimate total carbon pools in forests, where it has a key role in the global carbon cycle. We assessed correlations between spectral information and ground data to estimate AGB in the Semiarid Chaco, Argentina. Ground data (DBH, height and species of trees) were obtained from 15 samples (0.8 ha each) and AGB was estimated. Multi-temporal Landsat images were used to obtain spectral data (single bands/vegetation indexes) of the samples. Correlation tests between AGB and spectral bands and between AGB and vegetation indexes were performed for all dates. A strong correlation was found between spectral indexes and AGB in the early dry season (fall e May 12, 2002)<br />while poorer results were obtained for summer and winter. This would result from a differential phenological response of trees, shrubs and grasses to environmental conditions. A biomass predictive model was fitted using the NDVI of May 12, 2002 and a biomass map was obtained applying this regression. There was a rain-related regional pattern of AGB decrease in an eastewest direction, and a land-use related local pattern. Our results offer a great potential for increasing the understanding of dry Chaco forest structure and for improving carbon pools estimates. <br />
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Above-Ground Biomass
dc.subject
Chaco
dc.subject
Dry Forest
dc.subject
Regression Model
dc.subject
Remote Sensing
dc.subject
Vegetation Index
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Assessing multi-temporal Landsat 7 ETM + images for estimating above-ground biomass in subtropical dry forests of Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-06-26T19:49:12Z
dc.journal.volume
74
dc.journal.number
10
dc.journal.pagination
1262-1270
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Parmuchi, Maria Gabriela. Secretaría de Ambiente y Desarrollo Sustentable. Dirección de Bosques; Argentina
dc.description.fil
Fil: Bono, Julieta. Secretaría de Ambiente y Desarrollo Sustentable. Dirección de Bosques; Argentina
dc.description.fil
Fil: Karszenbaum, Haydee. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Montenegro, Celina Laura. Secretaría de Ambiente y Desarrollo Sustentable. Dirección de Bosques; Argentina
dc.journal.title
Journal of Arid Environments
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0140196310001059
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jaridenv.2010.04.007


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