Development of a habitat suitability index for submerged aquatic vegetation in Virginia’s middle peninsula using satellite remote sensing

Lazzaro, Rachel; Son, Seunghyun; Brown, Christopher W.; Lance, Veronica

doi:10.25923/dh60-4877

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Development of a habitat suitability index for submerged aquatic vegetation in Virginia’s middle peninsula using satellite remote sensing

2024
By Lazzaro, Rachel ; Son, Seunghyun ; Brown, Christopher W. ; ...
Series: NOAA technical report NESDIS ; 162

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Personal Author:

Lazzaro, Rachel ; Son, Seunghyun ; Brown, Christopher W. ; Lance, Veronica

Lazzaro, Rachel ; Son, Seunghyun ; Brown, Christopher W. ; Lance, Veronica Less -
Corporate Authors:

Center for Satellite Applications and Research (U.S.) ; University of Maryland, College Park. Cooperative Institute for Satellite Earth System Studies. ; Global Science and Technology, Inc.

Center for Satellite Applications and Research (U.S.) ; University of Maryland, College Park. Cooperative Institute for Satellite Earth System Studies. ; Global Science and Technology, Inc. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

In this study, we developed Habitat Suitability Indices (HSIs) for SAVs in Virginia’s Middle Peninsula region of Chesapeake Bay using satellite-derived water quality parameters using two different methods.
Keywords:

[+]

Aquatic Plants Artificial Satellites In Oceanography Artificial Satellites In Remote Sensing Habitat Suitability Index Models
Series:

NOAA technical report NESDIS ; 162
DOI:

https://doi.org/10.25923/dh60-4877
Format:

PDF
Publisher:

NOAA National Environmental Satellite, Data, and Information Service ; NOAA Center for Satellite Applications and Research ; Cooperative Institute for Satellite Earth System Studies

NOAA National Environmental Satellite, Data, and Information Service ; NOAA Center for Satellite Applications and Research ; Cooperative Institute for Satellite Earth System Studies Less -
Document Type:

Technical Report
Place as Subject:

Chesapeake Bay (Md. and Va.)
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

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urn:sha-512:57e0b75b75258ad6cbc3a82b14b09e231950c598a383d7c38ef9db70e83a8931a09da0d79ef6db6b130ce996bfa5f6e57d577c27e86398ffa78dbb9f4b6c891b
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https://repository.library.noaa.gov/view/noaa/66177/noaa_66177_DS1.pdf
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Development of a habitat suitability index for submerged aquatic vegetation in Virginia’s middle peninsula using satellite remote sensing

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