Ocean remote sensing techniques and applications: A review (part ii)

M Amani, S Mehravar, RM Asiyabi, A Moghimi… - Water, 2022 - mdpi.com
As discussed in the first part of this review paper, Remote Sensing (RS) systems are great
tools to study various oceanographic parameters. Part I of this study described different …

Polarimetric SAR applications of sea ice: A review

M Shokr, M Dabboor - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Fully polarimetric (FP) and compact polarimetry (CP) modes are advanced technologies of
synthetic aperture radar (SAR). Compared to the parameters available from traditional …

Assessment of machine learning classifiers for global lake ice cover map** from MODIS TOA reflectance data

Y Wu, CR Duguay, L Xu - Remote sensing of environment, 2021 - Elsevier
The topic of satellite remote sensing of lake ice has gained considerable attention in recent
years. Optical satellite data from the Moderate Resolution Imaging Spectroradiometer …

Map** sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle

J Lohse, AP Doulgeris, W Dierking - Annals of Glaciology, 2020 - cambridge.org
Automated classification of sea-ice types in Synthetic Aperture Radar (SAR) imagery is
complicated by the class-dependent decrease of backscatter intensity with Incidence Angle …

Lake ice-water classification of RADARSAT-2 images by integrating IRGS Segmentation with pixel-based random forest labeling

M Hoekstra, M Jiang, DA Clausi, C Duguay - Remote Sensing, 2020 - mdpi.com
Changes to ice cover on lakes throughout the northern landscape has been established as
an indicator of climate change and variability, expected to have implications for both human …

Eastern Arctic sea ice sensing: First results from the RADARSAT constellation mission data

H Lyu, W Huang, M Mahdianpari - Remote Sensing, 2022 - mdpi.com
Sea ice monitoring plays a vital role in secure navigation and offshore activities. Synthetic
aperture radar (SAR) has been widely used as an effective tool for sea ice remote sensing …

MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice

I Sudakow, VK Asari, R Liu… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
High-resolution aerial photographs of Arctic region are a great source for different sea ice
feature recognition, which are crucial to validate, tune, and improve climate models. Melt …

Sea-ice map** of RADARSAT-2 imagery by integrating spatial contexture with textural features

M Jiang, DA Clausi, L Xu - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Map** different types of sea ice that form, grow, and melt in polar oceans is essential for
ship** navigation, climate change modeling, and local community safety. Currently, ice …

An optimal decision-tree design strategy and its application to sea ice classification from SAR imagery

J Lohse, AP Doulgeris, W Dierking - Remote Sensing, 2019 - mdpi.com
We introduce the fully automatic design of a numerically optimized decision-tree algorithm
and demonstrate its application to sea ice classification from SAR data. In the decision tree …

[HTML][HTML] River Ice Map** from Landsat-8 OLI Top of Atmosphere Reflectance Data by Addressing Atmospheric Influences with Random Forest: A Case Study on the …

H Han, T Kim, S Kim - Remote Sensing, 2024 - mdpi.com
Accurate river ice map** is crucial for predicting and managing floods caused by ice jams
and for the safe operation of hydropower and water resource facilities. Although satellite …