[M-AG33] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[MAG33-P06] Surface Reflectance Validation using an Automated Camera System (CAMSIS)

*Andrés Eduardo Santamaría-Artigas^1,2, Eric Francis Vermote², Joel McCorkel³, William Rountree^1,2, Sergii Skakun^1,2, Jean-Claude Roger^1,2, Belen Franch⁴ (1.Department of Geographical Sciences, University of Maryland, College Park, MD, USA, 2.NASA Goddard Space Flight Center Code 619, Greenbelt, MD, USA, 3.NASA Goddard Space Flight Center Code 618, Greenbelt, MD, USA, 4.Department of Earth Physics and Thermodynamics, University of Valencia, Valencia, Spain)

Keywords:Surface Reflectance, Validation, CAMSIS

We present updated results on the validation of satellite surface reflectance using two automated camera systems (CAMSIS I & II). CAMSIS-I was initially installed at the WLEF tower in the Chequamegon National Forest, Wisconsin, USA in May 2019, and was a successful proof of the feasibility of using automated ground-based imaging systems for validation of satellite surface reflectance products. In April 2022, a re-designed system (CAMSIS-II) was installed along CAMSIS-I. The main difference between both systems is the use of four monochrome cameras fitted with spectral filters at 470, 550, 650, and 850nm on CAMSIS-I versus the use of a single monochrome camera with an electronic filter wheel fitted with five filters (4 spectral bands and a light-blocking filter for dark-current correction) on CAMSIS-II. Both cameras are functional and capture data at the pre-defined times that match the overpass of different satellites. Raw camera imagery is calibrated to surface reflectance values using a 50% reflectance calibration target mounted on a motorized arm, then georeferenced using ground control points from high-resolution aerial imagery, and resampled to match the satellite data spatial resolution and grid. Results from this study support the use of ground-based imagery to validate surface reflectance products from satellite data.