Author: Hooman Latifi

PFG Special Issue on forest inventory released

The Special Issue of Photogramemtrie, Fernerkundung, Geoinformation (PFG) entitled “Remote Sensing-assisted Forest Inventory” edited by Dr. Hooman Latifi from University of Würzburg and Prof. Dr. Barbara Koch from University of Freiburg has been finally published by Springer. The SI includes 6 peer-reviewed research works from international scholars summarizing the state-of-the-art in the application of spaceborne and airborne remote sensing for the inventory and analysis of forest entities. Whereas an Editorial Note from Latifi and Koch (2017) can be found here, the full content of the SI embracing all the research works can be retrieved here....

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

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...

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M.Sc thesis: Deciduous forest parameter retrieval using polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) and LIDAR approaches

Earth observation methods have been important tools for forest management applications for several decades. Nevertheless, it is necessary to improve existing processes on the local and regional scales, in particular for retrieving biophysical forest attributes. TanDEM-X data with high spatial resolution are predestinated information sources for precise estimation of forest parameters such as tree height and aboveground biomass. Once the tree-scale estimates are validated across relevant forest types (e.g. deciduous forests, coniferous or mixed), these can be extrapolated to larger plot, watershed, regional or even national scales. The utilization of three-dimensional remote sensing data sources like TanDEM-X and LIDAR...

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New publication: Influential factors on the quality of LiDAR-based Digital Terrain Models across temperate forest sites

A recently published paper featuring Hooman Latifi from Dept. of Remote Sensing presents a method comparison combined with a statistical analysis on the Impact of terrain topograpghy and habitat types on LiDAR-derived Digital Terrain Models in temperate Forest sites. The study addresses essential questions raised by how data and site-driven factors such as spatial resolution, topography  and variation in forest habitat types  might affect the DTM accuracy. These factors can also play a more pronounced role added by processing steps like ground filtering and interpolation of ground points. The results of a factorial analysis as ewll as a thorough...

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Extended deadline for abstract submission to IBS-DR workshop 2017

The deadline for abstract submission to joint IBS-DR  (German Region of the International Biometric Society) and DVFFA (Gerrman Association of Forest Research Institutions) in Hannover was extended to the end of September 2017. The workshop will be held from 7th to 8th of December 2017. The aim of the workshop is to provide a space for presentations and discussions of recent developments in spatial modeling and Bayesian methodology. Methods and applications in answering environmental, ecological, epidemiological or other research questions will be discussed. We welcome contributions on both interesting applications and methodological work. The workshop will host Dr. Cornelia...

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the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg

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