[PDF][PDF] Scaling up deep learning to identify earthwork sites in Te Tai Tokerau, Northland, New Zealand
SH Bickler, B Jones - Archaeology, 2021 - researchgate.net
The machine learning (ML) toolset is ideal for New Zealand archaeology (Bickler 2021a).
The ability to leverage LiDAR data with repeatable and transparent practices is an attractive …
The ability to leverage LiDAR data with repeatable and transparent practices is an attractive …
Monumental funerary landscapes of Dhar Tagant (south‐eastern Mauritania): Towards ethical satellite remote sensing in the West African Sahel
GJ Linares Matás, JS Lim - Archaeological Prospection, 2021 - Wiley Online Library
The remembrance of the dead is a ubiquitous dimension of most human societies, and the
spatial dimension of mortuary practices actively constitutes an essential element of the …
spatial dimension of mortuary practices actively constitutes an essential element of the …
Legacy of wood charcoal production on subalpine forest structure and species composition
Land-use legacy on forest dynamics at both stand and landscape scale can last for
centuries, affecting forest structure and species composition. We aimed to disentangle the …
centuries, affecting forest structure and species composition. We aimed to disentangle the …
Archaeology in the Fourth Dimension: Studying Landscapes with Multitemporal PlanetScope Satellite Data
For the last seven years, PlanetScope satellites have started near-daily imaging of parts of
the Earth's surface, making high-density multitemporal, multispectral, 3-m pixel imagery …
the Earth's surface, making high-density multitemporal, multispectral, 3-m pixel imagery …
Bathymetric LiDAR and Semi‐Automated Feature Extraction Assist Underwater Archaeological Surveys
DS Davis, JW Cook Hale, NL Hale… - Archaeological …, 2024 - Wiley Online Library
Critical data concerning key developments in global human history now lie submerged on
continental shelves where investigations confront significant challenges. Whereas …
continental shelves where investigations confront significant challenges. Whereas …
Broadscale deep learning model for archaeological feature detection across the Maya area
Many Maya archaeological areas are not comprehensively or systematically mapped
because ruins, often hidden under tropical forest canopy in rugged terrain, can take decades …
because ruins, often hidden under tropical forest canopy in rugged terrain, can take decades …
Use of remote sensing and image processing for identification of wild orchids
S Ahmed, J Lightbown, SR Rutter, N Basu… - Frontiers in …, 2024 - frontiersin.org
A novel multi-technique approach has been applied for the identification and mapping of
wild orchids using a combination of remote sensing and spectral image analysis. The five …
wild orchids using a combination of remote sensing and spectral image analysis. The five …
[PDF][PDF] Archaeological practice and digital automation
J Huggett - 2022 - eprints.gla.ac.uk
Archaeologists are accustomed to constructing narratives cast within periods frequently
defined by the rise and ultimate replacement of distinctive technologies. Contemporary …
defined by the rise and ultimate replacement of distinctive technologies. Contemporary …
[HTML][HTML] Mud volcanism at the Taman peninsula: multiscale analysis of remote sensing and morphometric data
TN Skrypitsyna, IV Florinsky, DE Beloborodov… - Remote Sensing, 2020 - mdpi.com
Mud volcanism is observed in many tectonically active regions worldwide. One of the typical
areas of mud volcanic activity is the Taman Peninsula, Russia. In this article, we examine the …
areas of mud volcanic activity is the Taman Peninsula, Russia. In this article, we examine the …
An object‐based approach to support the automatic delineation of magnetic anomalies
The intensive use of geophysics in archaeological investigations demands new ways of fast
and meaningful data interpretation. With the increasing size and complexity of …
and meaningful data interpretation. With the increasing size and complexity of …