Cloud-computing procedures for the automated detection and monitoring of archaeological sites

Here we summarise a series of combined workflows for the remote detection and monitoring of archaeological features. We integrate satellite constellations with new field data acquired from multi-sensor drones. Our methods make use of the multitemporal and multisource nature of these images. We present case studies from South Asia to the Mediterranean that are representative of other global drylands where vulnerable sites such as earthen mounds or buried features are obscured by agricultural expansion and encroachment. © 2022 IEEE.The following grant information was disclosed by the authors: National Key Research & Development Program of China: 2018YFD0100703. Natural Science Foundation of Zhejiang Province: LQ18C150003. National Natural Science Foundation of China: 31772332. This research was funded by the National Key Research & Development Program of China (2018YFD0100703), Natural Science Foundation of Zhejiang Province (LQ18C150003), and National Natural Science Foundation of China (31772332). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work