TY  -  
T1  - Direct reflectance transformation methodology for drone-based hyperspectral imaging 
SN  -  / 0034-4257; 1879-0704 
UR  - http://hdl.handle.net/10138/334925 
T3  - Remote Sensing of Environment 
A1  - Suomalainen, Juha; Oliveira, Raquel A.; Hakala, Teemu; Koivumäki, Niko; Markelin, Lauri; Näsi, Roope; Honkavaara, Eija 
A2  -  
PB  - Elsevier 
Y1  - 2021 
LA  - en 
AB  - Multi- and hyperspectral cameras on drones can be valuable tools in environmental monitoring. A significant shortcoming complicating their usage in quantitative remote sensing applications is insufficient robust radiometric calibration methods. In a direct reflectance transformation method, the drone is equipped with a camera and an irradiance sensor, allowing transformation of image pixel values to reflectance factors without ground reference data. This method requires the sensors to be calibra... 
VO  - 266 
IS  -  
SP  -  
OP  -  
KW  - Remote sensing; Drone; UAV; Hyperspectral; Imaging; Direct reflectance; Atmospheric correction; Empirical line method; Radiometric calibration; Reflectance factor; Irradiance; Radiance 
N1  -   
PP  -  
ER  -