Results 111 to 120 of about 80,832 (264)

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

Time-series analysis of satellite imagery for detecting vegetation cover changes in Indonesia. [PDF]

open access: yesSci Rep, 2023
Furusawa T   +5 more
europepmc   +1 more source

A Geomorphometric Approach to Estimate the Deterioration of Earthen Archaeological Sites by Rainfall and Diffusion Processes: The Huaca Chornancap (Eighth–14th Century ad), Lambayeque, Peru

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Rain‐induced erosion processes can severely damage Earthen archaeological sites. Huaca Chornancap (HCH; eighth–14th century ad) is a platform located in the Lambayeque region (Peru) exposed to seasonal rain due to El Niño Southern Oscillation (ENSO).
Luigi Magnini   +5 more
wiley   +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)

open access: yesArchaeological 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   +3 more
wiley   +1 more source

Correction: Correlation between aboveground vegetation composition and soil seed bank of Raudhat desert habitat: a case study of Raudhat Alkhafs, Saudi Arabia

open access: yesBMC Plant Biology
Asma A. Al-Huqail   +10 more
doaj   +1 more source

Increasing riparian vegetation cover to improve water quality: the importance of considering land use. [PDF]

open access: yesEnviron Manage
Te Ngaio PAJ   +5 more
europepmc   +1 more source

Accurate estimation of fractional vegetation cover for winter wheat by integrated unmanned aerial systems and satellite images. [PDF]

open access: yesFront Plant Sci, 2023
Yang S   +9 more
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

open access: yesArchaeological 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   +4 more
wiley   +1 more source

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