Ecosystems as Organisms in Spectral Space: Landscape Corrosion Revealed by Unreliable Classification Zones

Catastrophic disturbances pose significant challenges to remote sensing because landscapes can change rapidly, while access for field validation is limited, making it difficult to consistently track the spatiotemporal dynamics of discrete land-surface types. Building on the metaphor of the “ecosystem as an organism” and the individualistic perspective on ecosystems, each surface type is treated as a spectrally coherent entity whose identity must remain comparable over time despite changing conditions. To achieve this comparability, a Procrustes-based framework is introduced to align multi-index feature spaces from different dates to a common archetype, enabling cross-date classification within a commensurable coordinate system. Since Procrustes alignment requires a stable reference, the concept of core pixels (centroid-typical samples in feature space) is extended to spatially grounded anchor pixels that are invariant in both spectral and geographic space, thereby representing the persistent “organismal” structure of the landscape. Regression-based evaluation indicates that the Procrustes–anchor workflow improves classification fidelity and produces a clearer, more interpretable transition matrix of type changes, facilitating the separation of systematic transient dynamics from noisy reassignments. The resulting discrete habitat maps are independently validated using field geobotanical vegetation types, providing an ecological basis for the classified surface-type dynamics under catastrophic conditions.

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Publication Details

Journal
Geographies
Published
2026-03-16
DOI
https://doi.org/10.3390/geographies6010033
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
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article

Ecosystems as Organisms in Spectral Space: Landscape Corrosion Revealed by Unreliable Classification Zones

O. V. Zhukov, H. Tutova, O. Lisovets, Olha Kunakh
Geographies
Ecosystem dynamics and resilience
article

Ecosystems as Organisms in Spectral Space: Landscape Corrosion Revealed by Unreliable Classification Zones

O. V. Zhukov, H. Tutova, O. Lisovets, Olha Kunakh
article en

Abstract

Catastrophic disturbances pose significant challenges to remote sensing because landscapes can change rapidly, while access for field validation is limited, making it difficult to consistently track the spatiotemporal dynamics of discrete land-surface types. Building on the metaphor of the “ecosystem as an organism” and the individualistic perspective on ecosystems, each surface type is treated as a spectrally coherent entity whose identity must remain comparable over time despite changing conditions. To achieve this comparability, a Procrustes-based framework is introduced to align multi-index feature spaces from different dates to a common archetype, enabling cross-date classification within a commensurable coordinate system. Since Procrustes alignment requires a stable reference, the concept of core pixels (centroid-typical samples in feature space) is extended to spatially grounded anchor pixels that are invariant in both spectral and geographic space, thereby representing the persistent “organismal” structure of the landscape. Regression-based evaluation indicates that the Procrustes–anchor workflow improves classification fidelity and produces a clearer, more interpretable transition matrix of type changes, facilitating the separation of systematic transient dynamics from noisy reassignments. The resulting discrete habitat maps are independently validated using field geobotanical vegetation types, providing an ecological basis for the classified surface-type dynamics under catastrophic conditions.

GeographiesVol. 6(1)
Bogdan Khmelnitsky Melitopol State Pedagogical University (UA), Oles Honchar Dnipro National University (UA)
Life in Land
Openalex Percentile: Top 18%
Ecosystem dynamics and resilience
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