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dc.contributor.author
Blanco, Paula Daniela
dc.contributor.author
del Valle, Hector Francisco
dc.contributor.author
Bouza, Pablo Jose
dc.contributor.author
Metternicht, Graciela I.
dc.contributor.author
Hardtke, Leonardo Andrés
dc.date.available
2016-09-19T19:30:11Z
dc.date.issued
2014-09
dc.identifier.citation
Blanco, Paula Daniela; del Valle, Hector Francisco; Bouza, Pablo Jose; Metternicht, Graciela I.; Hardtke, Leonardo Andrés; Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery; Elsevier; International Journal of Applied Earth Observation and Geoinformation; 29; 9-2014; 11-21
dc.identifier.issn
0303-2434
dc.identifier.uri
http://hdl.handle.net/11336/7660
dc.description.abstract
Ecological sites are the basic entity used in rangeland health assessment. This study evaluates the synergistic use of multi- and hyper-spectral satellite imagery for sub-pixel classification of ecological sites in  semiarid rangelands. Hyperion and Landsat enhanced thematic mapper (ETM) data are included in a two-step  procedure to mapping ecological sites in Patagonian rangelands of Argentina. Firstly, mixture tuned  matched filtering and logistic regression analyses are used for Hyperion data processing to obtain ecological  site probability images in the area covered by hyperspectral imagery. Secondly, artificial neural networks are applied to model the relationships between the spectral response patterns of Landsat and  the probability images from Hyperion, and used to map ecological sites over the entire study area. Overall  classification accuracy was 81% (kappa = 0.77) with relatively high accuracies for all ecological sites  demonstrating that their spectral signatures are sufficiently distinct to be detectable. Better accuracies were obtained for shrub steppes with desert pavement (producer's and user's accuracies of 89% and  84%, respectively), and shrub-grass steppes associated to tertiary calcareous outcrops (producer's and  user's accuracies of 100% and 86%, respectively), while poorer accuracies resulted for shrub-grass steppes  on old alluvial plains (producer's and user's accuracies of 75% and 56%, respectively). Fuzzy maps of  ecological sites as presented in this research can provide rangeland managers with a tool to stratify the landscape  and organize ecological information for rangeland health assessment and monitoring, prioritizing and selecting appropriate management actions, and promoting the recovery of areas degraded in these  environments.
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
Ecological Site
dc.subject
Hyperion
dc.subject
Endmember Selection
dc.subject
Neural Network
dc.subject
Land Management
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Mixture Turned Matched Filtering
dc.subject
Logistic Regression
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
Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-09-14T17:37:19Z
dc.journal.number
29
dc.journal.pagination
11-21
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: Bouza, Pablo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: Metternicht, Graciela I.. University Of New South Wales; Australia
dc.description.fil
Fil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.journal.title
International Journal of Applied Earth Observation and Geoinformation
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jag.2013.12.011
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0303243413001797


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