Actividades científicas
- Comunicación Conesa, F. C., Orengo, H. A., Garcia-Molsosa, A., Abhayan, G. S., Rajesh, S. V.
Mapping Indus Archaeology and Multi-Temporal Land Cover Trends in Semi-Arid Regions
Computational Applications in Archaeology Conference (CAA2023) - Comunicación Kour, N., Conesa, F. C., Garcia-Molsosa, A., Orengo, H. A.
Loss of Heritage in Riverine Monsoonal Plains: Integration of Geospatial Legacy Data and Multi-Source Remote Sensing in Jammu, India
Computational Applications in Archaeology Conference (CAA2023) - Comunicación Orengo, H.A.; Garcia-Molsosa, A.; Conesa, F.C.; Petrie, C.A.
As above so below: artificial intelligence-based detection and analysis of archaeological sites and features at a continental scal
Artificial Intelligence, Machine Learning and Deep Learning in Archaeology - Comunicación Orengo, H.A.; Garcia-Molsosa, A.; Conesa, F.C.; Green, A.S.; Petrie, C.A.
New Approaches to the Archaeology of the Indus Civilisation Using TanDEM-X in Combination with Multisensor Multitemporal Satellite Data and Machine Learning
TerraSAR-X / TanDEM-X Science Team Meeting 2019 - Comunicación Orengo, H.A.; Garcia-Molsosa, A.; Conesa, F.C.; Green, A.S.; Singh, R.N.; Petrie, C.A.
Combining TanDEM-X with multi-temporal, multi-source satellite data for the reconstruction of the Bronze Age landscapes of the Indus civilisation
IGARSS 2019
Ver más
- Comunicación Conesa, F.C.; Orengo, H.A.; Garcia-Molsosa, A.; Green, A.S.; Petrie, C.A.
Multi-temporal and multi-sensor data integration for the machine learning detection of archaeological mounds: perspectives from South Asian archaeology
ESA Living Planet Symposium - Comunicación Orengo, H.A.; Conesa, F.C.; Garcia-Molsosa, A.; Petrie, C.A.
Applications of machine and deep learning for the identification and analysis of archaeological sites at a continental scale using 40 years of multi-source satellite data
Big Data in Archaeology: Practicalities and Possibilities
