Spatiotemporal prediction of grass curing in Victoria, Australia using Multi-Source remote sensing and deep learning models

Reproducible mapping of marine biodiversity using autonomous surface vehicles and deep learning

Matteo Contini, Victor Illien, Mohan Julien, Sylvain Poulain, Mervyn Ravitchandirane, Victor Russias, et al.

A machine learning framework for predicting agricultural terrace suitability using positive and unlabelled datasets: an application for the Troodos Mountains, Cyprus

A. Meena, C. Zoumides, H. Djuma, I. Sofokleous, C. Camera, A. Bruggeman

Hybrid physics–AI aerosol property retrieval algorithm for AMI/GK-2A with a deep learning radiative transfer emulator

Min-Suek Kim, Jhoon Kim, H. Lim, Seoyoung Lee, Hyejin Cha, Yujing Chai, et al.

SAR2LiDAR: A deep learning-based cross-modal matching framework between SAR images and LiDAR point clouds

Yifan Zhang, J. Mallorquí, Wen Wang

MFRXG: A multi-feature stacking ensemble RF-XGBoost model for total nitrogen retrieval in the Yellow River from Landsat 8/9 data

Y Zhang, Shuanggen Jin

Total nitrogen (TN) is a key indicator for assessing eutrophication in aquatic systems, and its concentration dynamics are influenced by a combination of hydrometeorological factors, terrain, and other pollution sources. However, traditional retrieval models based solely on remot…Read more

A two-stage machine learning framework for Chl-a reconstruction and short-term prediction in eutrophic lakes using GOCI observations

Zehui Huang, Ronghua Ma, Xinhui Chen, Kun Xue, Minqi Hu, Haoze Liu