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

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

Liangwei Liao, Xuan Zhu

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.

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

Enabling maize mapping in double-cropping regions of Argentina and Brazil without ground reference data by leveraging multiple satellite platforms

Ryoungseob Kwon, Youngryel Ryu, Philippe Ciais, David Makowski, Changhyun Choi, Huaize Feng, et al.

Large-scale maize mapping is challenging due to the lack of field-level datasets, which were essential for training machine learning models. The United States (US) provides abundant in-situ labels and national maize maps while Argentina and Brazil offered limited data and double-…Read more

Earth Observation–Based Machine learning for operational forecasting of harmful algal blooms in the Arabian Gulf and Sea of Oman

Kaltham A. Ismail, Roqaya A. Ismail, M. Salim