Remote sensing time series analysis: A review of data and applications

Y Fu, Z Zhu, L Liu, W Zhan, T He, H Shen… - Journal of Remote …, 2024 - spj.science.org
Remote sensing time series research and applications are advancing rapidly in land, ocean,
and atmosphere science, demonstrating emerging capabilities in space-based monitoring …

[HTML][HTML] Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery

G Richardson, N Foreman, A Knudby, Y Wu… - Remote Sensing of …, 2024 - Elsevier
In aquatic remote sensing, algorithms commonly used to map environmental variables rely
on assumptions regarding the optical environment. Specifically, some algorithms assume …

An ensemble machine learning model for water quality estimation in coastal area based on remote sensing imagery

X Zhu, H Guo, JJ Huang, S Tian, W Xu, Y Mai - Journal of Environmental …, 2022 - Elsevier
The accurate estimation of coastal water quality parameters (WQPs) is crucial for decision-
makers to manage water resources. Although various machine learning (ML) models have …

Confronting turbidity, the major challenge for satellite-derived coastal bathymetry

I Caballero, RP Stumpf - Science of the Total Environment, 2023 - Elsevier
Monitoring the complex seafloor morphology that drives the functioning of shallow coastal
ecosystems is vital for assessing marine activities. Satellite-derived bathymetry (SDB) can …

[HTML][HTML] A portable algorithm to retrieve bottom depth of optically shallow waters from top-of-atmosphere measurements

W Lai, Z Lee, J Wang, Y Wang, R Garcia… - Journal of Remote …, 2022 - spj.science.org
Bottom depth (H) of optically shallow waters can be retrieved from multiband imagery, where
remote sensing reflectance (R rs) are commonly used as the input. Because of the difficulties …

Methodology for combining data acquired by unmanned surface and aerial vehicles to create digital bathymetric models in shallow and ultra-shallow waters

J Lubczonek, W Kazimierski, G Zaniewicz, M Lacka - Remote Sensing, 2021 - mdpi.com
This paper presents a method for integrating data acquired by unmanned surface vehicles
and unmanned aerial vehicles. The aim of this work was to create a uniform bathymetric …

[HTML][HTML] A novel bathymetric signal extraction method for photon-counting LiDAR data based on adaptive rotating ellipse and curve iterative fitting

Z Wang, S Nie, C Wang, B Fu, X Xi, B Yang - International Journal of …, 2024 - Elsevier
Abstract Equipped with the Advanced Topographic Laser Altimeter System (ATLAS) of 532
nm, the Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) is enabled to penetrate the …

A physics-assisted convolutional neural network for bathymetric mapping using ICESat-2 and Sentinel-2 data

K Peng, H Xie, Q Xu, P Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Machine learning methods for water depth estimation using remote sensing require accurate
prior depth measurements. The successful operation of the Ice, Cloud and land Elevation …

[PDF][PDF] 星载环境探测激光雷达及其关键技术

刘东, 陈斯婕, 刘群, 柯举, 王南朝, 孙颖姗… - Acta Optica …, 2022 - researching.cn
摘要星载环境探测激光雷达能够获取昼夜环境垂直剖面信息, 已成为各国发展的重要遥感技术.
经过近30 年的发展, 该技术获取了大量全球地表信息和大气海洋环境信息, 为人类合理利用地球 …

[HTML][HTML] Innovative maritime uncrewed systems and satellite solutions for shallow water bathymetric assessment

LF Constantinoiu, A Tavares, RM Cândido, E Rusu - Inventions, 2024 - mdpi.com
Shallow water bathymetry is a topic of significant interest in various fields, including civil
construction, port monitoring, and military operations. This study presents several methods …