Results 1 to 10 of about 115 (65)

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 ...
Chaoyu Yang, Dingtian Yang
doaj   +3 more sources

Developing Benthic Class Specific, Chlorophyll-a Retrieving Algorithms for Optically-Shallow Water Using SeaWiFS

Sensors, 2016
This study evaluated the ability to improve Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a retrieval from optically shallow coastal waters by applying algorithms specific to the pixels’ benthic class. The form of the Ocean Color (OC) algorithm was
Tara Blakey, Assefa Melesse, Michael C. Sukop, Georgio Tachiev, Dean Whitman, Fernando Miralles-Wilhelm   +5 more
doaj   +3 more sources

A virtual coastal band-driven optimization-based bathymetric approach (VOBA) for optically shallow water with multispectral imagery

GIScience & Remote Sensing
Bathymetry mapping is important for detecting underwater topography. For optically shallow waters, the use of satellite-based high-spatial-resolution imagery (Such as Gaofen-2, Ziyuan-3, Worldview-2) and historical medium-spatial-resolution imagery ...
Yongming Liu, Shilin Tang, Bin Cao, Zhantang Xu, Xulong Liu, Kai Zeng, Yuye Huang, Wendi Zheng   +7 more
doaj   +3 more sources

Simulation and Sensitivity Analysis of Remote Sensing Reflectance for Optically Shallow Water Bathymetry

Remote Sensing
Optically shallow waters (OSW) enable water depth retrieval through passive optical remote sensing, benefiting from the relatively low attenuation of the water column.
Enze Wang, Huaguo Zhang, Juan Wang, Wenting Cao, Dongling Li   +4 more
doaj   +3 more sources

Towards Reliable High-Resolution Satellite Products for the Monitoring of Chlorophyll-a and Suspended Particulate Matter in Optically Shallow Coastal Lagoons

Remote Sensing
Coastal lagoons are fragile and dynamic ecosystems that are particularly vulnerable to climate change and anthropogenic pressures such as urbanization and eutrophication.
Samuel Martin, Philippe Bryère, Pierre Gernez, Pannimpullath Remanan Renosh, David Doxaran   +4 more
doaj   +3 more sources

In-situ manipulations of aquatic optical depth and its effect on small unoccupied aerial systems–derived spectral reflectance

Drone Systems and Applications, 2022
The collection of spectral data with sensors fixed to various platforms (e.g., satellites, occupied aerial vehicles, and small unoccupied aerial systems (sUAS)) has allowed for the estimation of optically active constituents (OACs) common in surface ...
Brandon K. Holzbauer-Schweitzer, Robert W. Nairn   +1 more
doaj   +1 more source

A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery

Remote Sensing, 2023
Knowledge of the precise water depth in shallow areas of the ocean is of great significance to the safe navigation of ships and hydrographic surveying. Compared with traditional bathymetry, satellite remote sensing for water depth determination makes it ...
Wenneng Zhou, Yimin Tang, Wenlong Jing, Yong Li, Ji Yang, Yingbin Deng, Yumeng Zhang   +6 more
doaj   +1 more source

A Simple Cloud-Native Spectral Transformation Method to Disentangle Optically Shallow and Deep Waters in Sentinel-2 Images

Remote Sensing, 2022
This study presents a novel method to identify optically deep water using purely spectral approaches. Optically deep waters, where the seabed is too deep for a bottom reflectance signal to be returned, is uninformative for seabed mapping.
Chengfa Benjamin Lee, Dimosthenis Traganos, Peter Reinartz   +2 more
doaj   +1 more source

Spectral and Radiometric Measurement Requirements for Inland, Coastal and Reef Waters

Remote Sensing, 2020
This paper studies the measurement requirements of spectral resolution and radiometric sensitivity to enable the quantitative determination of water constituents and benthic parameters for the majority of optically deep and optically shallow waters on ...
Peter Gege, Arnold G. Dekker
doaj   +1 more source

ACCURACY OF UNSUPERVISED CLASSIFICATION TO DETERMINE CORAL HEALTH USING SPOT-6 AND SENTINEL-2A [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Characteristics of corals spectral from different species are expected to have optically different characters. The aims of this research are to compare unsupervised classification between IsoData and K-Means methods with Lyzenga application, and to ...
N. Nurdin, N. Nurdin, Supriadi, M. Lanuru, M. Akbar AS, I. Kartika, T. Komatsu, T. Komatsu   +7 more
doaj   +1 more source