New publication: Mapping oak dieback severity using Worldview-2 data

New publication: Mapping oak dieback severity using Worldview-2 data

September 22, 2017

A new paper published by Iranian Journal of Forest and Poplar Research presents novel results on comparative analysis of multiple approaches for mapping Persian Oak (Quercus brantii) dieback across a portion of Zagros forests of Iran. The research features Hooman Latifi from University of Würzburg  and uses very-high-resolution optical data from Worldview-2 together with design-based inventory of oak dieback. The results revealed that the artificial neural network comparatively better performed than other classification methods with its overall accuracy of 72.83%. Moreover, our results confirmed that the Worldview-2 satellite data can illustrate the severity of oak decline as well as its spatial extension.

An English summary of the work can be retrieved here.

Karami, O., Fallah, A., Shataee, S., Latifi, H. 2017. Investigation on the feasibility of mapping of oak forest dieback severity using Worldview-2 satellite data (Case study: Ilam forests). Iranian Journal of Forest and Poplar Research 25(3), 452-462. DOI: 10.22092/ijfpr.2017.112879

you may also like:

most recent news:

Backpack based Lidar system for Earth Observation field work

Backpack based Lidar system for Earth Observation field work

Preparing Earth Observation field work campaigns and testing our backpack-based Lidar system for analyzing vertical structure of the environment. We will test it on various settings to ensure that the upcoming field work across Europe will be a success and spend time...

Our UrbanSens EAGLE students featured on Uni webpage

Our UrbanSens EAGLE students featured on Uni webpage

Great to see our EAGLE M.Sc. students with their UrbanSens Earth Observation idea being featured on the university webpage. They won the DLR Copernicus challenge in 2021 with their idea to use IoT sensors and remote sensing data to monitor urban climate conditions on...