Function reference • theRmalUAV

Image-based workflow

All the basic and additional functions within the image-based workflow

ThermalUAV Object

S4 class in which the information and data is stored within the R-environment

ThermalUAV-Class: Class "ThermalUAV"

Basic functions

The basic steps in the image-based workflow, create, correct and export

tuav_cameras(): A list of supported cameras

tuav_create(): Get all the necessary info and create a ThermalUAV object

tuav_correct(): Computes image-level corrections

tuav_export(): Export thermal data as TIFF files

tuav_emis(): Spatial emissivity correction

tuav_report(): Make a TheRmalUAV report

Position functions

Calculate, view and optimize camera locations

tuav_loc(): Get information on camera locations

tuav_view(): Plot cameras/image extents on an interactive map

coreg_prep(): Prepare data for co-registration

tuav_coreg(): Co-register locations with another camera

Cleaning functions

Clean thermal datasets based on overlap and or sharpness

tuav_sharp(): Estimates image sharpness

tuav_sharp_thresh(): Get sharpness threshold

tuav_persec(): Keep the best image(s) per second

tuav_reduc(): Clean the dataset based on overlap or sharpness

tuav_smooth(): Smooths thermal data

Orthomosaic-based workflow

Correct at-sensor temperature orthomosaics

ortho_correct(): Atmospheric and emissivity correction for othomosaics

Extra’s

Functions that do not directly belong to a workflow, but support or improve understanding

tuav_dji(): Thermal SDK from DJI: corrections using DJI's algorithm

sim_correct(): Simulating the correction

get_temp_dirp_cpp(): Thermal Image Temperature Extraction