Intelligent Sensing and Image Processing: Exploring Spatial and Temporal Variability of Remote Sensing Indexes
Manuscript submission deadline: 31 December 2026
Topic Editor
Naoufal Raissouni
University Professor, Remote Sensing Systems and Telecommunications Unit, former Head RSAID Lab., The National School for Applied Sciences, Tetuan, UAE, Morocco.
Nizar Ben Achhab
Head Dept. of Mathematics and Computer Sciences, Mathematics and Intelligent Systems Unit, The National School for Applied Sciences, Tangier, UAE, Morocco.
About this Research Topic
This special issue aims to explore the spatial and temporal variability of remote sensing indices using intelligent sensing and image processing techniques. Remote sensing indices exhibit intricate spatial and temporal differences crucial for informed decision-making and effective environmental management. Advanced artificial intelligence methods play a key role, automatically discerning patterns and trends within vast datasets. Integration of multisource remote sensing data enables multitemporal studies, facilitating analysis of environmental changes over time. Advanced trend analysis methods provide powerful tools for detecting long-term trends. Through interdisciplinary collaboration, we aim to advance understanding of environmental dynamics and inform sustainable development strategies. Join us in exploring dynamic landscapes of remote sensing and shaping a more informed and sustainable future.