Sensors for UAV-based Remote Sensing — Multispectral VIS/NIR/SWIR Imaging
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Feature
Citation
Citation Options
Identification
| Title: | Main Title: Sensors for UAV-based Remote Sensing — Multispectral VIS/NIR/SWIR Imaging |
| Description: | Abstract: These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. |
| Identifier: | 10.5880/CRC1211DB.73 (DOI) |
Responsible Party
| Creator: | Alexander Jenal (Author) |
| Publisher: | CRC1211 Database (CRC1211DB) |
| Publication Year: | 2024 |
Topic
| CRC1211 Topic: | Remote Sensing |
| Related Subproject: | Z2 |
| Subject: | Keyword: Remote Sensing |
| Geogr. Information Topic: | Geoscientific Information |
File Details
| Filename: | 13_AlexanderJenal_SensorsforUAV-basedRemoteSensing_MultispectralVISNIRSWIRImaging.pdf |
| Data Type: | Image - Presentation |
| File Size: | 12 MB |
| Date: | Available: 04.12.2024 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | [CRC1211DB] Data policy agreement |
Geographic
Specific Information - Presentation
| Presenter: | Alexander Jenal |
| Presentation Date: | 1st of October, 2024 |
| Presentation Type: | Invited talk |
| Event: | UAV-based Remote Sensing Methods for Monitoring Vegetation |
| Event Type: | Workshop |
| Event Location: | Cologne, Germany |
| Event Duration: | 30th of September, 2024 - 1st of October, 2024 |
| Event Website: | https://www.crc1211db.uni-koeln.de/workshops/workshop_2024_uavrs |
Metadata Details
| Metadata Creator: | Vincent Feldmar |
| Metadata Created: | 10.12.2024 |
| Metadata Last Updated: | 10.12.2024 |
| Subproject: | Z2 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
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Dataset Statistics
| Page Visits: | 20 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 7 |
Dataset Activity
Feature
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