Remote sensing time series analysis: A review of data and applications
Remote sensing time series research and applications are advancing rapidly in land, ocean,
and atmosphere science, demonstrating emerging capabilities in space-based monitoring …
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
In aquatic remote sensing, algorithms commonly used to map environmental variables rely
on assumptions regarding the optical environment. Specifically, some algorithms assume …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
construction, port monitoring, and military operations. This study presents several methods …