Relatedness and scale dependency in very high resolution digital elevation models derivatives

In the field of landscape genetics, environmental variables are needed to assess the influence of the environment on the spatial distribution of the genetic information of animals or plants. However, measuring variables (e.g. temperature, precipitation) at locations of each sampled individuals is time consuming. Landscape geneticists therefore often use variables from remote sensors such as existing satellite imagery and digital elevation models (DEMs). From these DEMs, many variables related to morphology, solar radiation or hydrology can be computed. However, their spatial resolution is not high enough when studying the local adaptation of organisms to their local environment.


Editor(s):
Ertz, Olivier
Joost, Stéphane
Tonini, Marj
Published in:
OGRS Symposium Proceedings 2012, 340
Presented at:
Open Source Geospatial Research & Education Symposium 2012, Yverdon-les-Bains, Switzerland, October 24-26, 2012
Year:
2012
Publisher:
London, Lulu.com
Keywords:
Laboratories:




 Record created 2012-10-31, last modified 2018-11-26

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