Remote Sensing in Biodiversity and Conservation

project work in the Steigerwald

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

Within this course different options for continuous data acquisition for biodiversity research and conservation using remote sensing are covered. New and established methods and data sets are introduced and student can explore them on their own. The whole course will take place in the Nationalpark Bavarian Forest or the Steigerwald.

Content

Different field sampling strategies will be practically experienced such as LCCS, hemispherical measurements or LAI, as well as existing zoological and botanical data sets explored and linked to remote sensing data sets. Especially LiDAR and hyperspectral data sets, beside multispectral remote sensing data are used to explain the spatial patterns of the biodiversity data. Students will need to develop their own research plan including questions and hypothesis and have to present it on the last day of the course. The course covers several consecutive days in the study area where all remote sensing data analysis, statistical modeling and field work need to be achieved. This courses requires a sounds knowledge of programming and modeling which are covered by previous courses. The course will be tightly linked to a parallel course for biologists and joint projects as well as interdisciplinary discussions and challenges are envisioned.

 

Field Work

learning how to collect field data

Planning

learning how to plan field work.

Coding

learn how to apply coding for your specific research question

Present

present your research findings to your fellow students

General Course News and Updates

EAGLE application in 2022

EAGLE application in 2022

We received again more than 200 applicants from all over the world. In total applicants from 42 different countries applied to our international Earth Observation M.Sc. program, covering countries such as Hungary, Morocco, Malaysia, Kenya, Nepal or Columbia. We are...

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EAGLE application deadline 2022

EAGLE application deadline 2022

Our application deadline for 2022 is approaching. If you want to study applied Earth Observation and learn about a variety of remote sensing sensors and methods as well as about fields of applications, submit your application at the latest on May 15th. Accepted...

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MSc defense by Haiyin Ye

MSc defense by Haiyin Ye

On Friday 20th of May at 9am Haiyin will present her M.Sc. thesis "Monitoring Gypsy Moth Outbreak Using Sentinel-1 and Sentinel-2 Data". From the abstract: "Gypsy moth Lymantria dispar (L.) is a serious pest in deciduous forests, the larvae of which can feed on a...

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MSc defense by Sofia Garcia

MSc defense by Sofia Garcia

On Friday, March 11th at 9am Sofia will present her M.Sc. thesis "Estimating socioeconomic variables in Bolivia using satellite-based nighttime light images and electricity consumption data". From the abstract: "The lack of up-to-date data on socio-economic parameters...

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MSc thesis defense by Nestor Gualsaqui

MSc thesis defense by Nestor Gualsaqui

On March 8th at 10:30 Nestor will present his M.Sc. thesis "Pre-crop emergence weed mapping using high satellite imagery". From the abstract: "During the last decades, the growth of the world population has been increasing and weather fluctuations around the world...

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MSc defense Nils Karges

MSc defense Nils Karges

Nils Karges will present his M.Sc. thesis "Exploring spatial relationships of soundscape variables in urban areas. " on 15th of February at 9:30. From the abstract: "This work describes the relationship between soundscape and the underlying landscape in an urban...

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MSc defense Camilo Zamora

MSc defense Camilo Zamora

On Friday 11th of February at 9am Camilo Zamora will present his M.Sc. thesis "Deforestation dynamics in the Dry Chaco ecoregion: a three decades of change detection and fragmentation study analysis". From the abtract: "Tropical forests represent 52% of global forests...

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