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dc.contributor.author
Campos, Valeria Evelin
dc.contributor.author
Fernandez Maldonado, Viviana Noemi
dc.contributor.author
Amatta, Emilce del Valle
dc.date.available
2023-07-25T17:41:52Z
dc.date.issued
2022-01
dc.identifier.citation
Campos, Valeria Evelin; Fernandez Maldonado, Viviana Noemi; Amatta, Emilce del Valle; Passive and Active Remote Sensing Data as Indicators of Vegetation Condition in Dry Woodland; Indian Soc Remote Sensing; Photonirvachak-journal Of The Indian Society Of Remote Sensing; 50; 5; 1-2022; 815-831
dc.identifier.issn
0255-660X
dc.identifier.uri
http://hdl.handle.net/11336/205433
dc.description.abstract
An important challenge is getting to know the condition of vegetation in dry woodlands, fragile ecosystems with high ecological value, to propose conservation strategies. Our objectives were: (1) to quantify on-the-ground vegetation composition and structure in dry Ramorinoa girolae-dominated woodlands on three study sites, using (A) field-based methods and (B) passive and active remotely sensed data at multi-scale and (2) to assess whether the integration of different remote sensors allows for a better estimation. We recorded field-based data on 36 plots of 50 × 30 m distributed in three sites (Ischigualasto n = 16; Valle Fértil n = 10; Private land n = 10). On each plot, we estimated the standard deviation (SD) of passive (EVI—Enhanced Vegetation Index—and SATVI—Soil Adjusted Total Vegetation Index) and active imagery data (SD of VV and VH polarisation) at multi-scale. The results of this approach show that passive and active remote sensing data were good indicators of almost all field-based data recorded at stand scale, except for richness, which was not related to remote sensing data. Shrub biomass, tree biomass and abundance of R. girolae were better explained by multi than single-sensor models. Only the variance in canopy cover of R. girolae was explained by single-sensor models. This work expands our understanding of the relationship of field-based data with both passive and active remotely sensed data, providing evidence that they could be used as a proxy for vegetation structure in dry R. girolae-dominated woodlands.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Indian Soc Remote Sensing
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DRY RAMORINOA GIROLAE-DOMINATED WOODLANDS
dc.subject
OPTICAL REMOTE SENSING DATA
dc.subject
SYNTHETIC-APERTURE RADAR IMAGERY DATA
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VEGETATION COMPOSITION
dc.subject
VEGETATION STRUCTURE
dc.subject.classification
Otros Tópicos Biológicos
dc.subject.classification
Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Passive and Active Remote Sensing Data as Indicators of Vegetation Condition in Dry Woodland
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-06T11:00:53Z
dc.journal.volume
50
dc.journal.number
5
dc.journal.pagination
815-831
dc.journal.pais
India
dc.description.fil
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
dc.description.fil
Fil: Fernandez Maldonado, Viviana Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
dc.description.fil
Fil: Amatta, Emilce del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; Argentina
dc.journal.title
Photonirvachak-journal Of The Indian Society Of Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s12524-022-01497-9
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s12524-022-01497-9
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