Enhanced Satellite Remote Sensing of Coastal Waters Using Spatially Improved Bio-Optical Products from SNPP-VIIRS

Abstract

The spatial dynamics of coastal and inland regions are highly variable and monitoring these waters with ocean color remote sensors requires increased spatial resolution capabilities. A procedure for the spatial enhancement of ocean color products, including chlorophyll and inherent optical properties (OPs), is developed using a sharpened visible water-leaving radiance spectrum for the visible infrared imaging radiometer suite (VIIRS). A new approach for spectral sharpening is developed by utilizing the spatial covariance of the spectral bands for sharpening the M bands (412, 443, 486, 551, 671 nm; 750-m resolution) with the I-1 band (645 nm; 375-m resolution). The spectral shape remains consistent by the use of a dynamic, wavelength-specific spatial resolution ratio that is weighted as a function of the relationship between proximate I- and M-band variance at each pixel. A comparison of bio-optical satellite products at 375-m and 750-m spatial resolution with in situ measurements of water leaving radiance and bio-optical properties show an improved capability of the VIIRS 375-m products in turbid and optically complex waters, such as the Chesapeake Bay and Mississippi River Plume. We demonstrate that the increased spatial resolution improves the ability for VIIRS to characterize bio-optical properties in coastal waters.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA627151

Entities

People

  • Paul M. Martinolich
  • Robert A. Arnone
  • Ryan A. Vandermeulen
  • Sherwin D. Ladner

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Backscattering
  • Coastal Regions
  • Data Sets
  • Detection
  • Detectors
  • High Resolution
  • Measurement
  • Oceanography
  • Optical Properties
  • Remote Detectors
  • Remote Sensing
  • Scattering
  • Statistical Analysis
  • Two Dimensional
  • United States

Fields of Study

  • Environmental science
  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Image Processing and Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space