Remote sensing is a powerful and versatile technology that involves the acquisition of information about the Earth's surface, utilizing various platforms such as satellites, aircraft, and unoccupied aerial vehicles (UAVs). A variety of sensors capture data across different spectral bands, enabling detailed observation and analysis of terrestrial ecosystems. This technology has revolutionized the field of vegetation ecology by providing the means to monitor, analyze, and manage vegetation across large spatial scales with unprecedented accuracy and efficiency. One of the main advantages of remote sensing in vegetation studies is its ability to collect information over extensive areas that are often inaccessible or impractical to survey through traditional field methods. This capability is particularly crucial for large-scale ecological studies, change detection, habitat mapping, and monitoring biodiversity. Remote sensing technology also offers high temporal resolution, allowing for continuous and repeatable observations that are essential for tracking changes in vegetation dynamics over time. Furthermore, image processing techniques enable the integration of multi-spectral and hyper-spectral data, which can reveal detailed information about vegetation health, species composition, and ecological processes. This Topical Collection aims to compile cutting-edge research that leverages remote sensing for vegetation ecology. We invite contributions that focus on recent methods for vegetation classification, vegetation mapping of habitats, and advancements in phytosociology enhanced by remote sensing techniques. Additionally, studies that employ both satellite and UAV imagery to develop innovative methods and applications in vegetation analysis are highly encouraged. Through this collection of papers, we hope to showcase the latest advancements in remote sensing technology and its transformative impact on the study and management of vegetation.