Opportunities for seagrass research derived from remote sensing: A review of current methods

BK Veettil, RD Ward, MDAC Lima, M Stankovic… - Ecological …, 2020 - Elsevier
Seagrass communities provide critical ecosystem and provisioning services for both human
populations and a wide range of associated species globally. However, it has been reported …

A review of geospatial technologies for improving Marine Spatial Planning: Challenges and opportunities

I Schwartz-Belkin, ME Portman - Ocean & coastal management, 2023 - Elsevier
Common marine spatial planning challenges include lack of data on the marine
environment, high mobility of both animals and humans, and plan implementation …

Inland reservoir water quality inversion and eutrophication evaluation using BP neural network and remote sensing imagery: a case study of Dashahe reservoir

Y He, Z Gong, Y Zheng, Y Zhang - Water, 2021 - mdpi.com
In this study, an inland reservoir water quality parameters' inversion model was developed
using a back propagation (BP) neural network to conduct reservoir eutrophication …

[HTML][HTML] Seagrass map** using high resolution multispectral satellite imagery: A comparison of water column correction models

A Mederos-Barrera, J Marcello, F Eugenio… - International Journal of …, 2022 - Elsevier
Satellite remote sensing is an efficient and economical technique for studying coastal
bottoms in clear and shallow waters. Accordingly, the main objective of this study is the …

Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data

G Casal, X Monteys, J Hedley, P Harris… - … Journal of Remote …, 2019 - Taylor & Francis
Bathymetry estimated from optical satellite imagery has been increasingly implemented as
an alternative to traditional bathymetric survey techniques. The availability of new sensors …

Coral reef map** with remote sensing and machine learning: a nurture and nature analysis in marine protected areas

CBL Da Silveira, GMR Strenzel, M Maida, ALB Gaspar… - Remote Sensing, 2021 - mdpi.com
Map** habitats is essential to assist strategic decisions regarding the use and protection
of coral reefs. Coupled with machine learning (ML) algorithms, remote sensing has allowed …

BathyNet: A deep neural network for water depth map** from multispectral aerial images

G Mandlburger, M Kölle, H Nübel, U Soergel - PFG–Journal of …, 2021 - Springer
Besides airborne laser bathymetry and multimedia photogrammetry, spectrally derived
bathymetry provides a third optical method for deriving water depths. In this paper, we …

[HTML][HTML] Fusion of drone-Based RGB and multi-spectral imagery for shallow water bathymetry inversion

E Alevizos, D Oikonomou, AV Argyriou, DD Alexakis - Remote Sensing, 2022 - mdpi.com
Shallow bathymetry inversion algorithms have long been applied in various types of remote
sensing imagery with relative success. However, this approach requires that imagery with …

Satellite-derived bathymetry in optically complex waters using a model inversion approach and Sentinel-2 data

G Casal, JD Hedley, X Monteys, P Harris… - Estuarine, Coastal and …, 2020 - Elsevier
This study presents an assessment of a model inversion approach to derive shallow water
bathymetry in optically complex waters, with the aim of both understanding localised …

Map** of coral reefs with multispectral satellites: a review of recent papers

T Nguyen, B Liquet, K Mengersen, D Sous - Remote Sensing, 2021 - mdpi.com
Coral reefs are an essential source of marine biodiversity, but they are declining at an
alarming rate under the combined effects of global change and human pressure. A precise …