Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Percentage Cover Screenshots

iPhone

About Percentage Cover

%Cover is an environmental application designed for use on iOS devices. It utilises standard smart phone technology (such as camera, GPS, date/time) to apply existing assessment techniques, used by environmental professionals, students and amateurs, in the ecological assessment of vegetation cover; i.e. the amount of canopy leaf cover versus leaf gap, above a nominated point along a transect or under an individual tree.

The amount of leaf cover is expressed as a percentage value and is a commonly used metric in the environmental monitoring, classification and condition assessment of vegetation communities. The existing field practice for estimating the percentage of canopy cover is to visually assess the canopy cover using a hard copy reference sheet, with black and white images showing incremental area increases of 10%; from entirely white (0%) to entirely black (100%).

%Cover was designed to be a simple digital application of an established scientific method for the measurement and monitoring of leaf canopy cover. Smartphone technology provides a platform for the collection and analysis of environmental monitoring data, therefore minimising the amount of specialised field equipment.