Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …

Timely and accurate access to regional scale crop plant area and spatial distribution is
essential for regional agricultural production and food security, especially in the context of …

The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …

Mg alloys possess an inherent plastic anisotropy owing to the selective activation of
deformation mechanisms depending on the loading condition. This characteristic results in a …

The fine classification of mangroves plays a crucial role in enhancing our understanding of
their structural and functional aspects which has significant implications for biodiversity …

Mapping accurate land cover is critical to support authorities in producing a better land
management policy, particularly in Wonosobo, which suffers from increased erosion and …

Machine Learning (ML) techniques can be used to convert Big Data into valuable
information for agri-environmental applications, such as predictive pest modeling. Lobesia …

This review explores the comparative utility of machine learning (ML) and deep learning
(DL) in land system science (LSS) classification tasks. Through a comprehensive …

Accurate vegetation behavior forecasting is essential for understanding the dynamics of
plant life in the context of climate change and other natural or human-induced disturbances …

A near-global framework for automated training data generation and land cover
classification using shallow machine learning with low-density time series imagery does not …