Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Blanco, Paula Daniela | - |
| dc.creator | del Valle, Hector Francisco | - |
| dc.creator | Bouza, Pablo J. | - |
| dc.creator | Metternicht, Graciela I. | - |
| dc.creator | Hardtke, Leonardo Andrés | - |
| dc.date | 2017-12-04T13:52:15Z | - |
| dc.date | 2017-12-04T13:52:15Z | - |
| dc.date | 2014-06 | - |
| dc.date | 2017-07-27T12:32:24Z | - |
| dc.date.accessioned | 2019-04-29T15:50:36Z | - |
| dc.date.available | 2019-04-29T15:50:36Z | - |
| dc.date.issued | 2014-06 | - |
| dc.identifier | Blanco, Paula Daniela; del Valle, Hector Francisco; Bouza, Pablo J.; 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; 6-2014; 11-21 | - |
| dc.identifier | 0303-2434 | - |
| dc.identifier | http://hdl.handle.net/11336/29520 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/303488 | - |
| dc.description | Ecological sites are the basic entity used in rangeland health assessment. This study evaluates the syn- ergistic 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 neu- ral 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 accu- racies 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, priori- tizing and selecting appropriate management actions, and promoting the recovery of areas degraded in these environments. | - |
| dc.description | Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina | - |
| dc.description | Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina | - |
| dc.description | Fil: Bouza, Pablo J.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina | - |
| dc.description | Fil: Metternicht, Graciela I.. University Of New South Wales; Australia | - |
| dc.description | Fil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jag.2013.12.011 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0303243413001797 | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | Ecological site | - |
| dc.subject | Hyperion | - |
| dc.subject | Endmember selection | - |
| dc.subject | Mixture tuned matched filtering | - |
| dc.subject | Logistic regression | - |
| dc.subject | Neural networks | - |
| dc.subject | Land management | - |
| dc.subject | Meteorología y Ciencias Atmosféricas | - |
| dc.subject | Ciencias de la Tierra y relacionadas con el Medio Ambiente | - |
| dc.subject | 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:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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