Offsetting the noise: a framework for applying phenological offset corrections in remotely sensed burn severity assessments
Background
Phenological correction of pre- and post-fire imagery is used to improve remotely sensed burn severity evaluations. Unburned offset values standardize greenness between image pairs; however, efficacy across diverse scenarios remains underexplored.
Aims