A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
A review of deep-learning methods for change detection in multispectral remote sensing images
EJ Parelius - Remote Sensing, 2023 - mdpi.com
Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …
increasingly more useful with the growing amount of available remote sensing data …
Episodic dynamic change linked to damage on the Thwaites Glacier Ice Tongue
The stability and dynamics of Thwaites Glacier depend on the structural properties of its
marine terminus; however, the relationship between these variables on the floating ice …
marine terminus; however, the relationship between these variables on the floating ice …
A data-driven deep learning model for weekly sea ice concentration prediction of the pan-arctic during the melting season
Y Ren, X Li, W Zhang - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
This study proposes a purely data-driven model for the weekly prediction of daily sea ice
concentration (SIC) of the pan-Arctic (90 N, 45 N, 180 E, 180 W) during the melting season …
concentration (SIC) of the pan-Arctic (90 N, 45 N, 180 E, 180 W) during the melting season …
AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini
Ice sheet marine margins via outlet glaciers are susceptible to climate change and are
expected to respond through retreat, steepening, and acceleration, although with significant …
expected to respond through retreat, steepening, and acceleration, although with significant …