UAV & satellite synergies for optical remote sensing applications: A literature review

Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth Observation (EO) systems for monitoring land surface dynamics. The former is frequently used for its acquisition flexibility and its ability to supply imagery with very high spatial resolution (VHSR); the latter is interesting for supplying time-series data over large areas. However, each of these data sources is generally used separately even though they are complementary and have strong and promising potential synergies. Data fusion is a well-known technique to exploit this multi-source synergy, but in practice, UAV and satellite synergies are more specific, less well known and need to be formalized. In this article, we review remote sensing studies that addressed both data sources. Current approaches were categorized to distinguish four strategies: data comparison, multiscale explanation, model calibration and data fusion. Analysis of the literature revealed emerging trends, the supply of these distinct strategies for several applications and allowed to identify key contributions of UAV data. Finally, the high potential of this synergy seems currently under-exploited; therefore a discussion is proposed about the related implications for data interoperability, machine learning and data sharing to reinforce synergies between UAVs and satellites.

Automated summary

Unmanned aerial vehicles (UAVs) and satellite constellations are both crucial Earth Observation (EO) systems for monitoring land surface dynamics, offering unique advantages in terms of data acquisition and resolution. While data fusion is a well-known technique to exploit their synergies, specific strategies for integrating UAV and satellite data sources need to be further explored and formalized for various applications.