Tell a friend
Print
Kamaraj, Nivedita (2022) Detecting spatial patterns of change in vegetation inside Bavarian Forest National Park using multi- and hyperspectral Datasets. Master's, University of Münster.
![[img]](https://elib.dlr.de/style/images/fileicons/application_pdf.png) |
PDF
7MB |
| Item URL in elib: | https://elib.dlr.de/187208/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Thesis (Master's) | ||||||||
| Title: | Detecting spatial patterns of change in vegetation inside Bavarian Forest National Park using multi- and hyperspectral Datasets | ||||||||
| Authors: |
| ||||||||
| Date: | 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 67 | ||||||||
| Status: | Published | ||||||||
| Keywords: | forest health, DESIS, Sentinel-2 | ||||||||
| Institution: | University of Münster | ||||||||
| Department: | Geoinformatics | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||
| Deposited By: | Holzwarth, Stefanie | ||||||||
| Deposited On: | 12 Jul 2022 11:16 | ||||||||
| Last Modified: | 12 Jul 2022 11:16 |
Repository Staff Only: item control page
