An approach for automatic real-time interpolation of phenological phases
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| Title: | Main Title: An approach for automatic real-time interpolation of phenological phases |
| Descriptions: | Abstract: Optical remote sensing data are widely used for the classification of natural and agricultural vegetation classes. The distinction of phenological stages within specific and between different species requires the availability of multi-temporal data sets. New satellite systems provide both data of high geometric resolution and high repetition rates. Due to cost efficiency, the knowledge of up-to-date phenological stages is of importance for the identification of optimal temporal windows for vegetation discrimination with remote sensing. On the example of the total area of Germany and the phenological stage 'yellow ripeness' of winter wheat in 2010, the presented algorithm demonstrates how daily phenological stages can be automatically interpolated on demand, in real-time and considering interpolation accuracies. As input we use daily provided point data of temperature and phenological stages from the extensive network of the German Weather Service (DWD) as well as a SRTM digital terrain model (DTM) with a geometric resolution of 90 m x 90 m. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 101-108 |
| Identifier: | 10.5880/TR32DB.KGA92.13 (DOI) |
| Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
| Creators: | Markus Möller (Author), Jens Birger (Author), Cornelia Gläßer (Author) |
| Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2011 |
Topic
| Subjects: | Keywords: Plant Growth, Remote Sensing, Agriculture |
File Details
| Filename: | Moeller_et_al_2011_KGA92.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 5322 Kilobytes 8 Pages |
| File Size: | 5.2 MB |
| Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 05.08.2013 |
| Metadata Last Updated: | 11.05.2021 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 544 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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