UAS dataset for Crop Water Stress Index computation and Triangle Method applications

This dataset is related with a field campaigns carried out on a tangerine field located near Palermo (Sicily), within the Harmonious COST action CA16219 - Harmonization of UAS techniques for agricultural and natural ecosystems monitoring-, activities framework. The general aim was to acquire UAS (Unmanned Aerial Systems) remotely sensed imagery to detect the vegetation stress status. A multispectral camera (RIKOLA) and a thermal one (FLIR) were used. The images are already georeferenced with 3.7 cm pixel size. The dataset could be used to compute the Crop Water Stress Index and to compute the moisture status of the field by means of a combined use of the optical and thermal images. The dataset includes meteo data registered by a meteo station nearby the site.