Search for projects with tag "gis"
[ID: 60] Mire chronosequence screening
PI: Betty Ehnvall
The objective of the project is to link plant stoichiometric differences to GIS based mire and catchment descriptors, in order to find ways of upscaling nutrient regimes across boreal mires. A large number of mires along a chronosequence in the coastal area north of Umeå will be visited. Above-ground tissue from selected mire plants will be collected along with peat samples for pH and elemental measurements.
[ID: 43] Wet area mapping using GIS and machine learning
PI: William Lidberg
I am developing wet area maps using a combination of LiDAR derived wet area index maps and machine learning.