Remote sensing for lake research and monitoring–Recent advances

K Dörnhöfer, N Oppelt - Ecological Indicators, 2016 - Elsevier
Lakes are important ecosystems providing various ecosystem services. Stressors such as
eutrophication or climate change, however, threaten their ecological functions. National and …

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 …

Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets

Y Ma, N Xu, Z Liu, B Yang, F Yang, XH Wang… - Remote Sensing of …, 2020 - Elsevier
Accurate bathymetric data is essential for marine, coastal ecosystems, and related studies.
In the past decades, a lot of studies were investigated to obtain bathymetric data in shallow …

Remote sensing of shallow waters–A 50 year retrospective and future directions

T Kutser, J Hedley, C Giardino, C Roelfsema… - Remote Sensing of …, 2020 - Elsevier
Technical advancements have widened the limits of remote sensing in mapping shallow
water benthic habitats and bathymetry over the last decades. On the other hand, the needs …

[HTML][HTML] Coral reef applications of Sentinel-2: Coverage, characteristics, bathymetry and benthic mapping with comparison to Landsat 8

JD Hedley, C Roelfsema, V Brando, C Giardino… - Remote sensing of …, 2018 - Elsevier
Abstract The Sentinel-2A and 2B Multi-Spectral Instrument (MSI) offers a specification of
potential value toward a number of objectives in remote sensing of coral reefs. Coral reefs …

Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters

N Pahlevan, B Smith, C Binding, D Gurlin, L Li… - Remote Sensing of …, 2021 - Elsevier
Following more than two decades of research and developments made possible through
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …

Band selection using improved sparse subspace clustering for hyperspectral imagery classification

W Sun, L Zhang, B Du, W Li… - IEEE Journal of Selected …, 2015 - ieeexplore.ieee.org
An improved sparse subspace clustering (ISSC) method is proposed to select an
appropriate band subset for hyperspectral imagery (HSI) classification. The ISSC assumes …

First evaluation of PRISMA level 1 data for water applications

C Giardino, M Bresciani, F Braga, A Fabbretto… - Sensors, 2020 - mdpi.com
This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured
in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale …

Deriving highly accurate shallow water bathymetry from Sentinel-2 and ICESat-2 datasets by a multitemporal stacking method

N Xu, X Ma, Y Ma, P Zhao, J Yang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Empirical models have been widely used to retrieve shallow water bathymetry from
multispectral/hyperspectral satellite imagery. In traditional studies on deriving the …

An algorithm for optically-deriving water depth from multispectral imagery in coral reef landscapes in the absence of ground-truth data

JM Kerr, S Purkis - Remote sensing of environment, 2018 - Elsevier
Although numerous approaches for deriving water depth from bands of remotely-sensed
imagery in the visible spectrum exist, digital terrain models for remote tropical carbonate …