Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Damian Evans"'
Autor:
W. Christopher Carleton, Sarah Klassen, Jonathan Niles-Weed, Damian Evans, Patrick Roberts, Huw S. Groucutt
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Lidar (light-detection and ranging) has revolutionized archaeology. We are now able to produce high-resolution maps of archaeological surface features over vast areas, allowing us to see ancient land-use and anthropogenic landscape modificat
Externí odkaz:
https://doaj.org/article/0e9c1a56c5ee454692f45cc89944c168
Autor:
Lei Luo, Jie Liu, Francesca Cigna, Damian Evans, Mario Hernandez, Deodato Tapete, Peter Shadie, Athos Agapiou, Abdelaziz Elfadaly, Min Chen, Lanwei Zhu, Bihong Fu, Ruixia Yang, Shahina Tariq, Mohamed Ouessar, Rosa Lasaponara, Xinyuan Wang, Huadong Guo
Publikováno v:
The Innovation, Vol 4, Iss 3, Pp 100420- (2023)
Externí odkaz:
https://doaj.org/article/22746cc7849d4db687c773e77a5c8787
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 3, Iss 1 (2020)
Airborne laser scanning or lidar has now been used by archaeologists for twenty years, with many of the first applications relying on data acquired by public agencies seeking to establish baseline elevation maps, mainly in Europe and North America. M
Externí odkaz:
https://doaj.org/article/6d4dd8ccdd254a779f83eed613bf9a61
Autor:
Minerva Singh, Damian Evans, Jean-Baptiste Chevance, Boun Suy Tan, Nicholas Wiggins, Leaksmy Kong, Sakada Sakhoeun
Publikováno v:
PeerJ, Vol 7, p e7841 (2019)
This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data
Externí odkaz:
https://doaj.org/article/876e8040eba84a58a6fee191947ca3ce
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0205649 (2018)
Archaeologists often need to date and group artifact types to discern typologies, chronologies, and classifications. For over a century, statisticians have been using classification and clustering techniques to infer patterns in data that can be defi
Externí odkaz:
https://doaj.org/article/e0c5164b094a41b5a0d867bf138b6575
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 5057-5076 (2015)
This study develops a modelling framework for utilizing very high-resolution (VHR) aerial imagery for monitoring stocks of above-ground biomass (AGB) in a tropical forest in Southeast Asia. Three different texture-based methods (grey level co-occurre
Externí odkaz:
https://doaj.org/article/0d9b37c9befb4870b9bf095ad076e02b
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0154548 (2016)
[This corrects the article DOI: 10.1371/journal.pone.0121558.].
Externí odkaz:
https://doaj.org/article/a700e7e22f104ede913109a38dc68ccd
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0154307 (2016)
This research examines the role of canopy cover in influencing above ground biomass (AGB) dynamics of an open canopied forest and evaluates the efficacy of individual-based and plot-scale height metrics in predicting AGB variation in the tropical for
Externí odkaz:
https://doaj.org/article/6cc69feeff894349a43013657a1f7ee3
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0121558 (2015)
At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures. The aim of this study was to assess various methods of analysis of aerial imagery for char
Externí odkaz:
https://doaj.org/article/958eb5a6bf614825a1486f432954387c
Publikováno v:
The Angkorian World ISBN: 9781351128940
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9693f34d5011e5233f9c6426f5905f80
https://doi.org/10.4324/9781351128940-20
https://doi.org/10.4324/9781351128940-20
