Over the last several decades, the increasing availability of remotely sensed data (e.g. satellite imagery, aerial images, and airborne Light Detection and Ranging) and the advancement of methods have attracted considerable attention from both scholars and practitioners in urban green infrastructure design, establishment, and management. This chapter summarizes current applications of remote sensing technology in the assessment of several major urban green infrastructures providing ecosystem services, including improvement of water and air quality, mitigation of the urban heat island, flood regulation, carbon sequestration and storage, and biodiversity conservation. We also provide an overview of how new advances in remote sensing technology, such as machine learning and deep learning, can enhance urban green infrastructure knowledge and relevant planning .