Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operates by integrating the digital values (DV) of the neighboring pixels within a defined range of DV (RDV) and cluster spatial dimensions (CSD). The definition of RDV and CSD is flexible and selected by the operator according to the image specificity and to the study objectives. Remote images with spatial resolution from 0.25 m to 1.5 m have been suitable for tree characterization. For each orchard plot, CLUAS® automatically provides indicators, such as the geographic coordinates, surface and potential yield of each tree; and key parameters of groves, such as the total area and the number, area and potential productivity of trees; and, similarly, for other land uses such as vegetation cover and bare soil. So, CLUAS can contribute to the site-specific/ precision management of fruit orchards, providing quantitative information on each tree, small area/ “micro-plot” of an orchard, or whole orchards.