Remote sensing technologies and techniques provide a critical link for improving our understanding of ecological processes by scaling measurements of single leaves and plants to entire ecosystems. Advanced sensor technologies and data collected by these sensors have spurred the development of new methods and cutting-edge applications that are rapidly advancing our ability to measure and map ecosystem composition, structure, and function. By leveraging these measurements, we are able to strengthen links between observations and broad-scale biospheric processes. Passive (optical multi- and hyperspectral, and thermal infrared) and active (microwave, lidar, and radar) sensors enable scientists to make complementary ecological measurements at a range of spatial scales.These sensors can collect data on the ground, over smaller, targeted areas of interest on platforms such as unoccupied aerial systems (UAS/UAV), over broader regions when mounted on aircraft, and globally via satellite platforms. Relevant and exciting advances in ecological applications of remote sensing include using lidar data to characterize vegetation structure and imaging spectroscopy (hyperspectral) data to map plant species composition and measure plant function. This session will include speakers working with lidar, solar induced fluorescence, as well as drone based sensors to improve our ability to measure carbon & photosynthesis, vegetation structure and change, drought impacts, and plant species over a range of scales and across various ecosystems.