Results 31 to 40 of about 54,145 (274)

Bio-optical properties of the Brazilian Abrolhos Bank’s shallow coral-reef waters

Frontiers in Remote Sensing, 2022
The Abrolhos Bank harbors the richest coral reef ecosystem in the South Atlantic Ocean. It exhibits unique geomorphologic structures, is localized in shallow depths, and is divided into two reef regions with an inner arc close to the coast (3–20 m depth) and an outer deeper arc (5–30 m depth).
Medeiros, T A G, Zoffoli, M L, Frouin R, Cortivo, F D, Cesar, G M, Kampel, M   +10 more
openaire   +3 more sources

Dependence of Attenuation Coefficients on Optical Condition of Shallow Water

Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), 2009
Radiative transfer of visible light in optically shallow water is an important process for remote sensing and environmental research. It has been modeled using various attenuation coefficients. Although these coefficients are apparent optical properties (AOPs) of water, which are supposed to be dependent not only on the water quality but on other ...
KANNO, Ariyo, KOIBUCHI, Yukio, ISOBE, Masahiko   +2 more
openaire   +2 more sources

Underwater acoustic signal acquisition based on optical interferometry in shallow water

AUT Journal of Electrical Engineering, 2023
Here, it is investigated the results of the implementation of an interferometric optical fiber acoustic sensor based on fiber Bragg grating (FBG). It is investigated the importance of different types of interferometer configurations as Michelson or Mach-Zehnder interferometers on the signal to noise ratio.
Abniki, Aliasghar, Sayyaadi, Hassan, Seif, Mohammad saeed   +2 more
openaire   +2 more sources

A Statistical Algorithm for Estimating Chlorophyll Concentration in the New Caledonian Lagoon

Remote Sensing, 2016
Spatial and temporal dynamics of phytoplankton biomass and water turbidity can provide crucial information about the function, health and vulnerability of lagoon ecosystems (coral reefs, sea grasses, etc.). A statistical algorithm is proposed to estimate
Guillaume Wattelez, Cécile Dupouy, Morgan Mangeas, Jérôme Lefèvre, Touraivane, Robert Frouin   +5 more
doaj   +1 more source

Cloud-Native Coastal Turbid Zone Detection Using Multi-Temporal Sentinel-2 Data on Google Earth Engine

Frontiers in Marine Science, 2021
The lack of clarity in turbid coastal waters interferes with light attenuation and hinders remotely sensed studies in aquatic ecology such as benthic habitat mapping and bathymetry estimation.
Avi Putri Pertiwi, Chengfa Benjamin Lee, Dimosthenis Traganos   +2 more
doaj   +1 more source

An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
Satellite remote sensing has become an essential observing system to obtain comprehensive information on the status of coastal habitats. However, a significant challenge in remote sensing of optically shallow water is to correct the effects of the water column. This challenge becomes particularly difficult due to the spatial and temporal variability of
Chaoyu Yang, Dingtian Yang
openaire   +2 more sources

Optical approaches to examining the dynamics of dissolved organic carbon in optically complex inland waters

Environmental Research Letters, 2012
Optical approaches were developed to examine the relationship between the optically active and the optically inactive fractions of dissolved organic carbon in inland waters.
Guangjia Jiang, Ronghua Ma, Steven A Loiselle, Hongtao Duan   +3 more
doaj   +1 more source

Satellite and airborne remote sensing of gross primary productivity in boreal Alaskan lakes

Environmental Research Letters, 2020
In terrestrial and marine ecosystems, remote sensing has been used to estimate gross primary productivity (GPP) for decades, but few applications exist for shallow freshwater ecosystems.Here we show field-based GPP correlates with satellite and airborne ...
Catherine Kuhn, Matthew Bogard, Sarah Ellen Johnston, Aji John, Eric Vermote, Rob Spencer, Mark Dornblaser, Kim Wickland, Rob Striegl, David Butman   +9 more
doaj   +1 more source

An Adaptive Blended Algorithm Approach for Deriving Bathymetry from Multispectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The log-ratio method (LRM) proposed by Stumpf et al. has been widely used to map bathymetry from multispectral imagery for oligotrophic waters, while the selection criteria of bands for the LRM have been subject to tradeoffs between maximum detectable ...
Yongming Liu, Danling Tang, Ruru Deng, Bin Cao, Qidong Chen, Ruihao Zhang, Yan Qin, Shaoquan Zhang   +7 more
doaj   +1 more source

Geo-adaptive deep learning for regional-scale bathymetric modeling in optically and morphologically challenging waters: A case study of the Yellow River Estuary

Journal of Hydrology: Regional Studies
Study region: The Yellow River Estuary, China, is a shallow and highly turbid coastal zone with complex optical conditions that challenge traditional bathymetric inversion methods.
Hai Sun, Yanan Chu, Chao Fan, Huiqian Wang, Bingchen Liang   +4 more
doaj   +1 more source