Current active course description (last updated 2025/26)
Remote Sensing in Nature Management
GEO5003
Current active course description (last updated 2025/26)

Remote Sensing in Nature Management

GEO5003
This course will introduce students to basic concepts in optical remote sensing, and how remote sensing can be a valuable tool to monitor natural resources. Student will be able to search for, interprete, and use optical remote sensing data to solve various challenges in nature management and research. Students will also obtain practical experience in operating unmanned aerial vehicles.
The course is based on data collected from optical sensors (e.g. multispectral camera systems) on satellite and drone platforms, and shows how such data can be processed and used within the field of nature management and research. The course emphasizes on data acquisition and processing of data, as well as on data analyzes, and presentation using GIS tools.
The subject is reserved for students in the Master Program in Biosciences. Qualified single-course students may gain access if there is capacity. Please contact the studentc advisor for further information.

Knowledge:

  • Good knowledge about optical remote sensing and GIS-based methods used in nature management.
  • Insights into the electromagnetic spectrum and its relevance in remote sensing.
  • Good understanding of data collection with sensors carried aerial platforms.

Skills:

  • Independent use of optical remote sensing data in nature management and research.
  • Select appropriate optical remote sensing data for nature management or research challenges.
  • Implement drone operations in accordance with the laws and regulations.

General competence:

  • Apply the acquired knowledge and skills to solve various problems within nature management.
  • Communicate knowledge to the public and professionals about the use of remote sensing in nature management.
In addition to the semester fee and curriculum literature, it is assumed that the student has a laptop computer at his disposal.
Elective
The teaching consists mainly of lectures and exercises, as well as project work. Exercises take place in the field and at GIS lab.
Evaluated annually by students through course surveys. These evaluations are included in the University’s quality assurance system.
Students will get the opportunity for practical experience with operating drones.

Compound assessment, grading scale Letter grades

Compulsory participation. Approved/Not approved.

Oral examination, 30 minutes, comprises 40% of the grade, grading scale A-F.

Take-home examination, individual, 10 days, comprises 60% of the grade, grading scale A-F.

Home exam: All aids are allowed.

Oral exam: The use of computer is allowed during the oral exam.

Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer is considered cheating.

Overlap refers to a similarity between courses with the same content. Therefore, you will receive the following reduction in credits if you have taken the courses listed below:

GEO5020 - Remote Sensing in Nature Management - 7.5 credits