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Airborne spectral imagery for archaeological prospection in grassland environments-an evaluation of performance

Dados Bibliográficos

ID3445593
AutoresRebecca Bennett (0000-0002-0686-9853, Duke University), Kate Welham (0000-0002-2057-7101, Bournemouth University), Ross A Hill (0000-0003-4374-992X, Bournemouth University), Andrew Ford (Bournemouth University)
Ano2013
Volume87
Fascículo335
Páginas220-236
Data de publicação2013-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAntiquity (JOURNAL)
Identificadores do periódicoISSN: 0003-598X • E-ISSN: 1745-1744
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0003598x00048730
OpenAlexW2209635738
IdiomaEN
Citações recebidas9
Referências citadas28

The new generation of aerial photographers is using different wavelengths to sense archaeological features. This is effective but can be expensive. Here the authors use data already collected for environmental management purposes, and evaluate it for archaeological prospection on pasture. They explore the visibility of features in different seasons and their sensitivity to different wavelengths, using principal components analysis to seek out the best combinations. It turns out that this grassland gave up its secrets most readily in January, when nothing much was growing, and overall the method increased the number of known sites by a good margin. This study is of the greatest importance for developing the effective survey of the world's landscape, a quarter of which is under grass

Archaeology · Geography · Grassland · Margin (machine learning) · Meteorology · Prospection · Quarter (Canadian coin) · Remote sensing · Visibility · 3D Surveying and Cultural Heritage · Archaeological Research and Protection · Computer Science · Ecology · Remote Sensing and LiDAR Applications

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Obras citantes distintas9
Citações por ano0,75
Intervalo de citações2014 - 2023 (10)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 9
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