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Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity

Title data

Mahecha, Miguel D. ; Fürst, Lina M. ; Gobron, Nadine ; Lange, Holger:
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity.
In: Pattern Recognition Letters. Vol. 31 (2010) Issue 14 . - pp. 2309-2317.
ISSN 0167-8655

Abstract in another language

Information retrieval from spatiotemporal data cubes is key to earth system sciences. Respective analyses need to consider two fundamental issues: First, natural phenomena fluctuate on different time scales. Second, these characteristic temporal patterns induce multiple geographical gradients. Here we propose an integrated approach of subsignal extraction and dimensionality reduction to extract geographical gradients on multiple time scales. The approach is exemplified using global remote sensing estimates of photosynthetic activity. A wide range of partly well interpretable gradients is retrieved. For instance, well known climate-induced anomalies in FAPAR over Africa and South America during the last severe ENSO event are identified. Also, the precise geographical patterns of the annual–seasonal cycle and its phasing are isolated. Other features lead to new questions on the underlying environmental dynamics. Our method can provide benchmarks for comparisons of data cubes, model runs, and thus be used as a basis for sophisticated model performance evaluations.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER99556
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Ecological Modelling
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 06 Jul 2015 10:25
Last Modified: 06 Jul 2015 10:25
URI: https://eref.uni-bayreuth.de/id/eprint/15876