TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
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Elsevier
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Tree monitoring is a challenging task due to the labour-intensive and time-consuming data collection methods required. We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. The plugin offers several tools including tree inference process for tree segmentation and detection. This tool was implemented to facilitate the manipulation and processing of Geographical Information System (GIS) data from different sources, allowing multi-resolution, variable extent, and generating results in a standard GIS format (georeferenced raster and vector). Additional options like postprocessing, dataset generation, and data validation are also incorporated.
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remote sensing, trees, silvopastoral systems, monitoring, geographical information systems-geographic information systems, sistema de información geográfica, imagery-computer vision, imagen-visión por ordenador, sensor, sistema silvopascícola-sistemas silvopastorales, Árbol forestal