Skip to main content

Remote sensing ancient Maya rural populations using QuickBird satellite imagery

Buy Article:

$55.00 plus tax (Refund Policy)

The research presented in this article tests a methodology for estimating ancient Maya populations through the use of an ISODATA unsupervised classification of QuickBird imagery. The aim of this research was to expand the results of ground surveys in jungle environments in a cost-effective manner. The lowland jungle of Guatemala is composed of a mosaic of vegetation classes and geomorphological catenas. The ancient Maya exploited the ecological niches present in the landscape but chose to build their residences predominantly on well-drained uplands. Upland terrain and vegetation can be accurately isolated from the rest of the landscape using an unsupervised classification of aggregated multispectral QuickBird data. By testing a 25 km2 research area near San Bartolo, Guatemala, the study found that this methodology presented similar results to archaeological surveys conducted elsewhere in the Maya area at a much greater cost and allowed for comparable population estimates.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Joukowsky Institute for Archaeology and the Ancient World/Department of Anthropology, Brown University, Providence, RI, USA

Publication date: 2010-03-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more