Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning

To what extent can Ulva and Sargassum be detected and separated in satellite imagery?

(2021) Lin Qi et al.   HARMFUL ALGAE

Testing the climate intervention potential of ocean afforestation using the Great Atlantic Sargassum Belt

(2021) Lennart T. Bach et al.   Nature Communications

Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms

(2021) Xinhua Wang et al.   Water

Deep learning-based information mining from ocean remote sensing imagery

(2020) Xiaofeng Li et al.   National Science Review

Massive Influx of Pelagic Sargassum spp. on the Coasts of the Mexican Caribbean 2014–2020: Challenges and Opportunities

(2020) Valeria Chávez et al.   Water

On the remote estimation of Ulva prolifera areal coverage and biomass

(2019) Lianbo Hu et al.   REMOTE SENSING OF ENVIRONMENT

ERISNet: deep neural network for Sargassum detection along the coastline of the Mexican Caribbean

(2019) Javier Arellano-Verdejo et al.   PeerJ

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The great Atlantic Sargassum belt

(2019) Mengqiu Wang et al.   SCIENCE

Seaweed, seaweed everywhere

(2019) James Gower et al.   SCIENCE

Faunal mortality associated with massive beaching and decomposition of pelagic Sargassum

(2019) R.E. Rodríguez-Martínez et al.   MARINE POLLUTION BULLETIN

From In Situ to satellite observations of pelagic Sargassum distribution and aggregation in the Tropical North Atlantic Ocean

(2019) Anouck Ody et al.   PLoS One

Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms

(2019) Qianguo Xing et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign

(2018) Qianguo Xing et al.   MARINE POLLUTION BULLETIN

Remote sensing of Sargassum biomass, nutrients, and pigments

(2018) Mengqiu Wang et al.   GEOPHYSICAL RESEARCH LETTERS

Assessment of PlanetScope images for benthic habitat and seagrass species mapping in a complex optically shallow water environment

(2018) Pramaditya Wicaksono et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessing and refining the satellite-derived massive green macro-algal coverage in the Yellow Sea with high resolution images

(2018) T.W. Cui et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2018) John D. Hedley et al.   REMOTE SENSING OF ENVIRONMENT

Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring

(2018) Shengke Wang et al.   NEUROCOMPUTING

Predicting Sargassum blooms in the Caribbean Sea from MODIS observations

(2017) Mengqiu Wang et al.   GEOPHYSICAL RESEARCH LETTERS

Severe impacts of brown tides caused by Sargassum spp. on near-shore Caribbean seagrass communities

(2017) Brigitta I. van Tussenbroek et al.   MARINE POLLUTION BULLETIN

Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations

(2017) N. Pahlevan et al.   REMOTE SENSING OF ENVIRONMENT

Object- and pixel-based classifications of macroalgae farming area with high spatial resolution imagery

(2017) Yuhan Zheng et al.   Geocarto International

Sargassum coverage in the northeastern Gulf of Mexico during 2010 from Landsat and airborne observations: Implications for the Deepwater Horizon oil spill impact assessment

(2016) Chuanmin Hu et al.   MARINE POLLUTION BULLETIN

Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations

(2016) Mengqiu Wang et al.   REMOTE SENSING OF ENVIRONMENT

Extracting Oil Slick Features From VIIRS Nighttime Imagery Using a Gaussian Filter and Morphological Constraints

(2015) Mengqiu Wang et al.   IEEE Geoscience and Remote Sensing Letters

Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae

(2015) Chuanmin Hu et al.   REMOTE SENSING OF ENVIRONMENT

Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8

(2015) Quinten Vanhellemont et al.   REMOTE SENSING OF ENVIRONMENT

Green and golden seaweed tides on the rise

(2013) Victor Smetacek et al.   NATURE

Satellite images suggest a newSargassumsource region in 2011

(2013) Jim Gower et al.   Remote Sensing Letters

A novel ocean color index to detect floating algae in the global oceans

(2009) Chuanmin Hu   REMOTE SENSING OF ENVIRONMENT