 The paper reviews remote sensing, R.S., tasks that use unmanned aerial vehicle, U.A.V., data as their main sources. It focuses on solutions that address the new aspects of U.A.V. data, including ultra-high resolution, availability of coherent geometric and spectral data, and capability of simultaneously using multi-sensor data for fusion. The paper provides examples of U.A.V.-based R.S. in agricultural, environmental, urban, and hazards assessment applications and discusses their practical potentials. It concludes by sharing views on future research directions. This article was authored by Huang Yao, Rong Junqin, and Xia Yuqian. We are article.tv, links in the description below.