semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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

Liangwei Liao, Xuan Zhu

View free PDFSource page

Related papers

semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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

View free PDFSource page

semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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

Yifan Zhang, J. Mallorquí, Wen Wang

View free PDFSource page

semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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

View free PDFSource page

semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

High-resolution (30-m) multi-decadal reconstruction of coastal water quality via Landsat-Sentinel fusion and ensemble machine learning (1985–2024)

Zihan Chen, Peng Chen, Siqi Zhang, Yunzhou Li, Delu Pan

View free PDFSource page

semantic_scholarInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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

View free PDFSource page

crossrefInternational Journal of Applied Earth Observation and Geoinformation2026-08-01

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.