@Article{KhanAragIria:2017:UASyMa,
author = "Khan, S. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and
Iriarte, J.",
affiliation = "{University of Exeter} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {University of Exeter}",
title = "A UAV–lidar system to map Amazonian rainforest and its ancient
landscape transformations",
journal = "International Journal of Remote Sensing",
year = "2017",
volume = "38",
number = "8/10",
pages = "2313--2330",
month = "May",
keywords = "Ecology, Metadata, Optical radar, Unmanned aerial vehicles
(UAV).",
abstract = "In this article, a robust unmanned aerial remote-sensing system,
equipped with a survey-grade Lidar scanner and a multispectral
camera system, assembled to study pre-Columbian Amazonian
archaeology is presented. The data collected from this system will
be utilized in a novel inter-disciplinary way by combining these
data with in situ data collected by archaeologists,
archaebotanists, paleoecologists, soil scientists, and landscape
ecologists to study the nature and scale of the impact of
pre-Columbian humans in transforming the landscapes of Amazonian
rainforest. The outputs of this research will also inform future
policy on the conservation, sustainability, and ecological state
of the forest.",
doi = "10.1080/01431161.2017.1295486",
url = "http://dx.doi.org/10.1080/01431161.2017.1295486",
issn = "0143-1161",
language = "en",
urlaccessdate = "27 abr. 2024"
}