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Automated machine learning-based potsherd detection using high-resolution dro...
JavaScript code to be implemented in Google Earth Engine(c) for automated machine learning-based potsherd detection using high-resolution drone imagery. This research presents... -
Code for automated detection of archaeological mounds using machine-learning ...
JavaScript code to be implemented in Google Earth Engine(c) for automated detection of archaeological mounds in Cholistan (Pakistan) using machine-learning classification of... -
Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Le...
JavaScript code to be implemented in Google Earth Engine(c) for Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm. Algorithm for... -
Algorithm for the visualization of subtle topographic change of variable size...
JavaScript code to be implemented in Google Earth Engine(c). The multi-scale relief model (MSRM) is a new algorithm for the visual interpretation of landforms using DSMs. The... -
Large-scale, multi-temporal remote sensing of palaeo-river networks
JavaScript code to be implemented in Google Earth Engine(c) for large-scale, multi-temporal remote sensing of palaeo-river networks. This research presents a seasonal... -
Results of the automated extraction of individual potsherd fragments in the s...
These folders store the results of the automated extraction of individual potsherd fragments in the soil surface provided by two different approaches. They both used the same...