Project properties

Title How accurately can land cover metrics predict land use history?
Group Forest Ecology and Forest Management Group
Project type thesis
Credits 36
Supervisor(s) Catarina Jakovac
Examiner(s) FEM staff member
Contact info Catarina.jakovac@wur.nl
Begin date 2020/05/01
End date
Description Land use history is an important factor affecting the rates and
dynamics of forest succession. Retrieving land use history
information, however is often difficult and information can be
incomplete. Landscape metrics, on the other hand, are easier to
retrieve from global freely available satellite images. It is known
that many socio-economic dynamics are reflected on land cover
changes, such as forest cover over time, mean fragment size and
proportion of different land uses in the landscape. The aim of this
topic is to try and identify landscape metrics that can be used as
proxies for categorizing land use history.
The project will be based on spatial analyses of available
databases from Brazil and/or multiple countries (depends on
availability and interests). The student must be able to perform
land use and land cover classification of satellite images and
spatial analyses of socio-economic databases.
No field work possibility

Corona proof: i.e.no field work (abroad) or intensive lab studies required

Population and forest dynamics/ Forest restoration and succession /America's/ Tropical zone/ Desk study
Used skills
Requirements FEM-30306 Forest Ecology and Forest Management; REG31806 Ecological Methods I;