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Ecosistemas
Article . 2008
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La caracterización funcional de ecosistemas mediante sensores remotos

Authors: Paruelo, José María;

La caracterización funcional de ecosistemas mediante sensores remotos

Abstract

La caracterización funcional de ecosistemas mediante sensores remotos: Los sensores remotos han sido valiosos auxiliares de los ecólogos en las últimas décadas. El uso más frecuente de estas herramientas ha sido la caracterización estructural del paisaje. En general, se ha recurrido a la interpretación visual de imágenes y la clasificación digital. En estos casos, un atributo de la superficie terrestre (por ej. un tipo dado de cobertura) se relaciona con un comportamiento espectral determinado (valores de reflectancia o emisión de la superficie terrestre en distintas longitudes de onda) sin conocer los mecanismos del vínculo. Si bien este uso de la teledetección ha permitido avances importantes en Ecología, parece estar por debajo de su potencial. Entre las diferentes alternativas que permitirían hacer un uso más eficiente de la información generada por sensores a bordo de satélites, en este artículo se pone énfasis en la descripción de procesos biofísicos a nivel de ecosistema a partir de la información registrada por los sensores. Para ello, se discute el vínculo entre los datos registrados por los sensores a bordo de satélites de observación terrestre y dos procesos funcionales del ecosistema: la productividad primaria y la evapotranspiración.

Functional characterization of ecosystems using remote sensing: Over the last decades, remote sensors provided a valuable service to ecologists. The most frequent use of this tool has been the structural characterization of landscape. Generally visual interpretation of images and digital classification have been the most common approaches. In these cases, a surface attribute (for example, a type of land cover) is related to a certain spectral behavior (reflectance values or terrestrial surface emissions in different wave lengths) without knowing the linking mechanisms. Even though this use of remote sensing allowed important advances in ecology, it seems to be below its full potential. Among the different alternatives that would allow a more efficient use the information generated by remote sensors on board satellites, this article emphasizes on the description of bio-physical processes at the ecosystem level from the information registered by the sensors. For that purpose, the link between the data registered by the sensors on board terrestrial observation satellites and two functional processes of the ecosystem: primary productivity and evapotranspiration, is being discussed.

Este artículo se realizó en base al aporte provisto por CONICET, FONCYT y UBA (Argentina), los proyectos FPTA-175 (INIA, Uruguay) y Sensor - TTC project grant No. 003874 (UE) y de un subsidio del Inter-American Institute for Global Change Research (IAI, CRN II 2031), el cual se financia a partir de US National Science Foundation (Grant GEO-0452325).

Country
Spain
Related Organizations
Keywords

Evapotranspiration, Spectral indexes, Satellites, Remote sensing, Productividad primaria neta, Net primary productivity, Environmental sciences, Índices espectrales, Teledetección, GE1-350, Satélites, Evapotranspiración

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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