Hooman Latifi

remote sensing in forestry research

About

Hooman Latifi is an assistant professor at the Dept. of remote sensing of the University of Würzburg. He is also the representative of the working group “Ecology and Environment” of the German region of the International Biometric Society (IBS-DR). His research interests are mainly applied spatial analysis of forest entities (Structure, biodiversity and forest health indicators) by means of airborne (in particular LiDAR) remote sensing. In addition to his research activities, he has been involved in numerous internal and external teaching events on LiDAR remote sensing, open-source image processing software and remote sensing-assisted of forest and environmental management.

 

Courses

News and Updates

please look here for updates on research and projects:
http://remote-sensing.eu/author/hooman-latifi

 

University of Wuerzburg

Dept. of Remote Sensing

email: hooman.latifi@uni-wuerzburg.de

phone: +49 (0)931 31 89638

Recent News

Great dashboard by our EAGLE students

Great dashboard by our EAGLE students

our EAGLE students created various informative remote sensing and spatial environmental data dashboards and learned a lot how to communicate their Earth Observation research in an interactive online platform. One example by our student Ronald Okoth is shown below and...

MSc defense by Christabel Ansah

MSc defense by Christabel Ansah

Christabel will present her M.Sc. thesis "ASSESSING THE ENVIRONMENTAL IMPACT OF OIL SPILLS IN THE NIGER DELTA, NIGERIA" on Monday 20th of December at 10am. From the abstract: "The Niger Delta region of Nigeria has been battling with an unprecedented number of oil...

MSc Defense by Sandro Groth

MSc Defense by Sandro Groth

Sandro Groth will present his M.Sc. thesis "Using street-level imagery and multi-task deep learning for multi-hazard risk related building characterization" on June 28th at 9am. From his abstract: "Accurate building characterization is a key component of multi-hazard...

MSc defense by Magdalena Halbgewachs

MSc defense by Magdalena Halbgewachs

Magdalena Halbgewachs will present her MSc thesis "A Spectral Mixture Analysis and Landscape Metrics based framework for monitoring spatio-temporal forest cover changes: A case study in Mato Grosso, Brazil" on Wednesday 16th of June at 9am. From the abstract: More and...

Review of applications

Review of applications

Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...

high number of application submitted for 2021

high number of application submitted for 2021

The application deadline for the 2021 EAGLE generation passed yesterday and 230 application were submitted. That are 80 more than last year. Check out who started in the 2020 EAGLE generation here. We are now going through each single one and check for general...

EAGLE 2021 application deadline approaching

EAGLE 2021 application deadline approaching

the application deadline for our international Earth Observation M.Sc. program EAGLE is slowly approaching. Apply before May 15th to be reviewed and potentially interviewed for a place in the 2021 EAGLE group. Check out our courses, our lecturer and most important...

Internship, inno lab and MSc idea presentations

Internship, inno lab and MSc idea presentations

On Thursday, May 20th, at 2pm the following students will present their internship, inno lab or MSc thesis idea: Christopher Chan:“Patching up old Deep Learning code and working with data center remotely” (Internship with DLR, supervisor Benjamin Leutner) Diego...

internship and MSc idea presentation

internship and MSc idea presentation

on Tuesday April 6th 3pm we will have the folling internship and MSc idea presentations: Joy-Giovanni Matabishi, " MESMA of DESIS data to identify Rooftops in Kigali"- Internship/EKUT Luisa Pflumm, "Comparison of the performance of different accessibility layers for...