Assessing Planet Nanosatellite Sensors for Ocean Color Usage

An increasing number of commercial nanosatellite-based Earth-observing sensors are providing high-resolution images for much of the coastal ocean region. Traditionally, to improve the accuracy of normalized water-leaving radiance (nLw) estimates, sensor gains are computed using in-orbit vicarious ca...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-11, Vol.15 (22), p.5359
Main Authors: Lewis, Mark D., Jarreau, Brittney, Jolliff, Jason, Ladner, Sherwin, Lawson, Timothy A., McCarthy, Sean, Martinolich, Paul, Montes, Marcos
Format: Article
Language:English
Subjects:
Accuracy
Aerosol Robotic Network
Aerosols
Algorithms
Artificial satellites in remote sensing
Atmosphere
Atmospheric correction
Atmospheric models
Automation
Calibration
Chlorophyll
Color
Comparative analysis
Earth
Error analysis
Gas absorption
Humidity
Image resolution
Infrared imaging
Measurement
Methods
nanosatellite
Nanosatellites
Ocean
Ocean color
Optical properties
Particle size
Planets
Radiance
Remote sensing
Satellites
Sensors
Technology application
vicarious calibration
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An increasing number of commercial nanosatellite-based Earth-observing sensors are providing high-resolution images for much of the coastal ocean region. Traditionally, to improve the accuracy of normalized water-leaving radiance (nLw) estimates, sensor gains are computed using in-orbit vicarious calibration methods. The initial series of Planet nanosatellite sensors were primarily designed for land applications and are missing a second near-infrared band, which is typically used in selecting aerosol models for atmospheric correction over oceanographic regions. This study focuses on the vicarious calibration of Planet sensors and the duplication of its red band for use in both the aerosol model selection process and as input to bio-optical ocean product algorithms. Error measurements show the calibration performed well at the Marine Optical Buoy location near Lanai, Hawaii. Further validation was performed using in situ data from the Aerosol Robotic Network—Ocean Color platform in the northern Adriatic Sea. Bio-optical ocean color products were generated and compared with products from the Visual Infrared Imaging Radiometric Suite sensor. This approach for sensor gain generation and usage proved effective in increasing the accuracy of nLw measurements for bio-optical ocean product algorithms.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15225359