SARMoistX: temporal forecasting of vegetation moisture using SAR imagery
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2025.2486446
Abstract: ABSTRACT Accurate vegetation moisture estimation is essential for wildfire prediction, climate modeling, and ecosystem monitoring. However, traditional ground-based methods lack scalability and fail to provide continuous spatial coverage, presenting a critical research gap in large-scale… read more here.
Keywords: forecasting vegetation; vegetation; sarmoistx temporal; vegetation moisture ... See more keywords
Forecasting Vegetation Behavior Based on PlanetScope Time Series Data Using RNN-Based Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3365971
Abstract: 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. Recurrent neural network (RNN) deep learning (DL) models represent a… read more here.
Keywords: rnn; vegetation behavior; forecasting vegetation; vegetation ... See more keywords