SISTER: PRISMA L2A Corrected Surface Reflectance 30 m V001

Overview

Description

Generated by the Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission, this dataset utilizes existing airborne and spaceborne sources to generate prototype data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, hydrology, and geology. The objective of SISTER is to mature many of the workflows, algorithms, and data products envisioned for SBG, lay the groundwork to develop a robust cal/val network, and build a vigorous and expansive user community ahead of launch. This dataset contains experimental Level 2A topographic and glint corrected surface reflectances at 30-m spatial resolution derived from data measured by the PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite (https://www.asi.it/en/earth-science/prisma/). For the purposes of SISTER, only a handful of scenes have been selected from this mission, with a temporal range between 2020-02-16 and 2022-05-08 and a spatial coverage that is global in scale. PRISMA measures reflected radiance at better than 12-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 400 and 2500 nm. The raw PRISMA data are first processed to L1B orthocorrected calibrated radiance by the Italian Space Agency (ASI) and then ingested into the SISTER platform for further downstream analysis. This collection was derived from resampled surface reflectance and observation geometry using a combination of topographic and glint correction algorithms. Topographic correction was performed using the Sun-Canopy-Sensor+C algorithm (Soenen et al., 2005) and glint correction was performed using the method of Gao and Li (2021). Because of the narrow field of view and off-nadir viewing the BRDF correction algorithm was not applied. The output products are provided in ENVI format with values expressed as percentages in the range 0-1.

Science Keywords

Data Use and Citation

Data Files