Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models-Reference-Cited by-同舟云学术

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Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models

Published:2022-09 Issue: Volume:113 Page:102990
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Mederos-Barrera A.,Marcello J.,Eugenio F.,Hernández E.

Funder

Universidad de Las Palmas de Gran Canaria

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference44 articles.

1. Assessment of machine learning methods for seagrass classification in the Mediterranean;Bakirman;Baltic J. Mod. Comput.,2020

2. Maximum a posteriori estimators as a limit of Bayes estimators;Bassett;Math. Program.,2019

3. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems;Coffer;Int. J. Remote Sens.,2022

4. High-resolution maps of bathymetry and benthic habitats in shallow-water environments using multispectral remote sensing imagery;Eugenio;IEEE Trans. Geosci. Remote Sens.,2015

5. Benthic habitat mapping using multispectral high-resolution imagery: evaluation of shallow water atmospheric correction techniques;Eugenio;Sensors,2017

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5. Effects of the Construction of Granadilla Industrial Port in Seagrass and Seaweed Habitats Using Very-High-Resolution Multispectral Satellite Imagery;Remote Sensing;2024-03-08

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