Results 111 to 120 of about 39,852 (262)

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

Scale Effect of Land Cover Classification from Multi-Resolution Satellite Remote Sensing Data. [PDF]

Sensors (Basel), 2023
Li R, Gao X, Shi F, Zhang H.
europepmc   +1 more source

Remote Roca: Integrating Data From Archaeological Survey, Remote Sensing and Geophysics in the Hinterland at the Long‐Lasting Mediterranean Site of Rocavecchia (Apulia, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a multi‐method non‐invasive investigation of an approximately 4‐ha area associated with the long‐occupied coastal settlement of Rocavecchia (Apulia, southern Italy), situated between the prehistoric fortified peninsula and the Hellenistic‐Messapian walls.
Giuseppe Guarino, Francesco Iacono, Giovanna Agostini, Davide Susini   +3 more
wiley   +1 more source

Land Surface Model Calibration Using Satellite Remote Sensing Data. [PDF]

Sensors (Basel), 2023
Khaki M.
europepmc   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Satellite remote sensing of environmental variables can predict acoustic activity of an orthopteran assemblage. [PDF]

PeerJ, 2022
Gomez-Morales DA, Acevedo-Charry O.
europepmc   +1 more source

Optimizing Strategies for Non‐Invasive Prospection of Settlements in the Intertidal Zone: A Case Study From the Centre of the Drowned Medieval Village of Tolsende (Scheldt Estuary, the Netherlands)

Archaeological Prospection, EarlyView.
ABSTRACT Medieval and early modern drowned villages in the intertidal zone of the Scheldt estuary (the Netherlands) constitute intriguing yet largely understudied components of north‐western Europe's underwater cultural heritage. Despite their high archaeological potential as time capsules of past settlement landscapes, research has remained limited ...
Jan Trachet, Sarah Bäumler, Stefan Krojer, Jeroen Verhegge, Wim De Clercq, Philippe De Smedt, Wouter H. Maes, Bente S. Majchczack, Immo Trinks, Dennis Wilken   +9 more
wiley   +1 more source

Glacial Lake Area Changes in High Mountain Asia during 1990-2020 Using Satellite Remote Sensing. [PDF]

Research (Wash D C), 2022
Zhang M, Chen F, Chen F, Guo H, Yi L, Zeng J, Li B.   +6 more
europepmc   +1 more source

Integrating Remote Sensing, Archaeological Survey and Geophysical Prospections for the Enhancement of Roman Doclea, Montenegro

Archaeological Prospection, EarlyView.
ABSTRACT The Roman city of Doclea is a key archaeological site of Montenegro, valued for its impressive remains and its role in the nation's cultural identity within European and the Mediterranean history. Doclea was the second‐largest city in the province of Roman Dalmatia, a municipium created in the first century ad and named after the Illyrian ...
Tatjana Koprivica, Lucia Alberti, Marilena Cozzolino, Bruna Di Palma, Vincenzo Gentile, Pasquale Merola   +5 more
wiley   +1 more source

High-Coverage Reconstruction of XCO₂ Using Multisource Satellite Remote Sensing Data in Beijing-Tianjin-Hebei Region. [PDF]

Int J Environ Res Public Health, 2022
Wang W, He J, Feng H, Jin Z.
europepmc   +1 more source