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Article . 2024 . Peer-reviewed
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PhenoApp. A Google Earth Engine based tool for monitoring phenology PhenoApp. Una aplicación basada en Google Earth Engine para el monitoreo de la fenología

Authors: García-Díaz, Diego; Díaz-Delgado, Ricardo;

PhenoApp. A Google Earth Engine based tool for monitoring phenology PhenoApp. Una aplicación basada en Google Earth Engine para el monitoreo de la fenología

Abstract

La aplicación PhenoApp ha sido desarrollada en el marco de los proyectos eLTER Plus y SUMHAL, como una herramienta dirigida a científicos y gestores de los sitios integrados en la red eLTER, con la cual puede realizarse un seguimiento de la fenología a largo plazo de diferentes cubiertas vegetales. La aplicación proporciona un mapa dinámico, que permite la selección de cualquier sitio de la red y consultar las métricas fenológicas de cada píxel o grupo de píxeles generadas con la serie de imágenes Sentinel 2 usando las librerías de Python Ndvi2Gif y PhenoPY. La aplicación integra también los productos de fenología de MODIS (MCD12Q2.006) y de Copernicus Sentinel 2 High Resolution Vegetation Phenology Product (HR-VPP). Además, la aplicación incorpora un formulario que permite al usuario proporcionar los datos de fenología obtenidos in situ (mediante observación directa o fenocámaras), que se usarán para realizar una validación de los distintos productos obtenidos vía satélite. A modo de ejemplo, se muestra la validación efectuada en uno de los sitios de la red eLTER ubicado en el Espacio Natural de Doñana (END), usando como datos in situ los proporcionados por la red de fenocámaras instaladas en la Reserva Biológica de Doñana a partir de 2016, dentro del marco de la Infraestructura Científica y Técnica Singular de Doñana (ICTS-Doñana). Un análisis de validación preliminar pone de manifiesto la necesidad de considerar las discrepancias entre los distintos productos y métodos de acuerdo con la variabilidad fenológica inherente a cada ecosistem

PhenoApp application have been developed within the framework of the eLTER Plus and SUMHAL projects, as a tool aimed at scientists and managers of the sites integrated in the eLTER network, for which long-term phenology monitoring can be assessed. The application provides a dynamic map that allows the selection of any site in the network and queries the phenological metrics of each pixel or group of pixels generated with the Sentinel-2 time series of images using the Ndvi2Gif and PhenoPY python libraries. The application also integrates phenology products from MODIS (MCD12Q2.006) and Copernicus Sentinel 2 High Resolution Vegetation Phenology Product (HR VPP). In addition, the application incorporates a web form that allows the user to provide the phenology data obtained in situ (through direct observation or phenocams), which will be used to perform a validation of the different products obtained via satellite. As an example, we carried out a preliminary validation in one of the sites of the eLTER network located in the Doñana Natural Area (END). We used in situ data provided by the network of phenocams in the Doñana Biological Reserve since 2016 installed by the Singular Scientific and Technical Infrastructure of Doñana (ICTS-Doñana). A preliminary validation analysis highlights the need to consider the discrepancies between the different products and methods according to the phenological variability inherent in each ecosystem.

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selected citations
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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).
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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.
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