Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.ecolind.2026.114679 |
Lizenz  |
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| Titel (primär) | Conceptual framework for hybrid landscape modelling: The pixel–zone–object approach and its theoretical foundations |
| Autor | Lausch, A.; Selsam, P.; Bumberger, J.
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| Quelle | Ecological Indicators |
| Erscheinungsjahr | 2026 |
| Department | CLE; MET |
| Band/Volume | 183 |
| Seite von | art. 114679 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Supplements | Supplement 1 |
| Keywords | Spectral traits; Remote sensing; Landscape pattern; Hybrid landscape modelling; ESIS/Imalys tool |
| Abstract | Hybrid landscape models integrate the functional variation contained in high-dimensional remote-sensing data with the spatial organisation of ecological patterns, thereby overcoming the traditional dichotomy between discrete patch mosaics and continuous gradients. The Pixel–Zone–Object (PZO) model provides a coherent framework in which functional pixel traits are aggregated into spatially coherent zones and the emergent objects derived from them. This review shows how four methodological lineages – variance-based partitioning, object-based segmentation, clustering-based functional-space analysis and graph-based regionalisation – converge within the hybrid paradigm. With the ESIS/Imalys Model, we introduce a predictor-free, sensor-robust and globally reproducible model that fully operationalises the PZO concept by algorithmically linking functional homogeneity with spatial contiguity. Validating hybrid models requires functional, spatial and ecological evidence as well as reproducibility analyses. Applications in biodiversity, disturbance ecology, ecosystem condition assessment, and global monitoring highlight the added value of hybrid approaches over traditional classification systems. Hybrid models extend existing paradigms by introducing a data-driven, semantics-free perspective. Advances in AI, multisensor fusion and dynamic graph-based methods will further increase their relevance for landscape ecology and global environmental observation. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=32020 |
| Lausch, A., Selsam, P., Bumberger, J. (2026): Conceptual framework for hybrid landscape modelling: The pixel–zone–object approach and its theoretical foundations Ecol. Indic. 183 , art. 114679 10.1016/j.ecolind.2026.114679 |
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