Modeling of estuarne chlorophyll a from an airborne scanner

IEEE Transactions on Geoscience and Remote Sensing
By: , and 

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Abstract

Near simultaneous collection of 34 surface water samples and airborne multispectral scanner data provided input for regression models developed to predict surface concentrations of estuarine chlorophyll a. Two wavelength ratios were employed in model development. The ratios werechosen to capitalize on the spectral characteristics of chlorophyll a, while minimizing atmospheric influences. Models were then applied to data previously acquired over the study area thre years earlier. Results are in the form of color-coded displays of predicted chlorophyll a concentrations and comparisons of the agreement among measured surface samples and predictions basedon coincident remotely sensed data. The influence of large variations in fresh-water inflow to the estuary are clearly apparent in the results. The synoptic view provided by remote sensing is another method of examining important estuarine dynamics difficult to observe from in situ sampling alone.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Modeling of estuarne chlorophyll a from an airborne scanner
Series title IEEE Transactions on Geoscience and Remote Sensing
DOI 10.1109/TGRS.1987.289735
Volume 25
Issue 6
Year Published 1987
Language English
Publisher IEEE Geoscience and Remote Sensing Society
Publisher location Piscataway, New Jersey
Description 8 p.
First page 662
Last page 669
Country United States
State California
County San Francisco
City San Francisco
Other Geospatial San Francisco Bay area
Online Only (Y/N) N
Additional Online Files (Y/N) N