New Methods and Applications of Vegetation Remote Sensing Monitoring

Accelerating climate change and ecosystem degradation demand advanced vegetation monitoring to support global sustainability goals, yet conventional remote sensing faces critical limitations: fragmented data sources, sparse 3D structural insights, and prohibitive costs for high-resolution surveys. New AI-integrated methodologies address these gaps—exemplified by Google’s AlphaEarth unifying multi-source data into 10m-grid planetary embeddings, China’s L-band interferometry enabling single-baseline forest 3D mapping, among others. These innovations directly serve urgent applications, with vegetation underpinning 30% of climate mitigation pathways (IPCC AR6). Despite major advances, accurate and scalable vegetation assessment remains constrained by fragmented data streams, spectral–spatial trade-offs, persistent cloud contamination, and limited vertical-structure sampling. Therefore, establishing a scalable, AI-driven framework that fuses satellite, UAV, and ground observations is crucial to accelerating ecological governance, strengthening agricultural resilience, and advancing global carbon-neutrality initiatives.This Research Topic welcomes original research articles, reviews, and meta-analyses published by Frontiers in Plant Science that advance the understanding of vegetation-climate interactions, with particular emphasis on:• Merging multi-source remote sensing images, geographical big data, and artificial intelligence methods to achieve refined extraction or change detection of vegetation information• Combining artificial intelligence and remote sensing technology, identify diseases and pests in forests, grasslands, and crops• Integrating remote sensing and ecological models to quantitatively assess the carbon sequestration capacity of various ecosystems and to analyze their spatiotemporal dynamics• Responses of vegetation structure and physiological function to climate change, focusing on changes in greenness and physiological traits and their underlying mechanisms Topic editors: Qingwei Zhuang, Friday Uchenna Ochege, Bowen Cai, Chaoya Dang, Ye Yuan, Qing Ding Source: https://www.frontiersin.org/research-topics/75723/new-methods-and-applications-of-vegetation-remote-sensing-monitoring