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dc.date.accessioned | 2022-08-17T15:17:24Z | |
dc.date.available | 2022-08-17T15:17:24Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/140588 | |
dc.description.abstract | SAR backscattering coefficient (σ⁰) of crops depends on the operational frequency, polarization and incidence angle of the acquisition system, the dielectric behaviour of crops, and soil-related variables such as the volumetric moisture (mv) and its roughness. In SAR applications, surface roughness is usually characterized by two parameters: the standard deviation of the surface height to a reference height or rms height (s) and the autocorrelation length. The autocorrelation length, defined as the distance at which the correlation function drops to 1/e, describes the surface periodicity and indicates to what extent two separate points can be considered correlated. For crops in their early stages, soil characteristics play a crucial role in σ⁰ due to the low vegetation development. In this work, we present σ⁰ simulations for sunflower (early stages) using a model proposed by for the L Band; specifically, the frequency was set to that of the SAOCOM instruments (1.275 GHz). | en |
dc.format.extent | 52-53 | es |
dc.language | en | es |
dc.subject | Soil | es |
dc.subject | Backscattering | es |
dc.subject | Sunflower | es |
dc.subject | SAOCOM | es |
dc.subject | L Band | es |
dc.title | Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.uri | http://50jaiio.sadio.org.ar/pdfs/cai/CAI-09.pdf | es |
sedici.identifier.issn | 2525-0949 | es |
sedici.creator.person | Mieza, M. Soledad | es |
sedici.creator.person | Ferrazzoli, Paolo | es |
sedici.creator.person | Cravero, Walter R. | es |
sedici.creator.person | Kovac, Federico D. | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Sociedad Argentina de Informática e Investigación Operativa | es |
sedici.subtype | Resumen | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | |
sedici.date.exposure | 2021-10 | |
sedici.relation.event | XIII Congreso de AgroInformática (CAI 2021) - JAIIO 50 (Modalidad virtual) | es |
sedici.description.peerReview | peer-review | es |