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Data · dataset · 2026

Dataset for “Stage-Integrated Fire Resilience Assessment of Forest Vegetation and Its Driving Factors”

Listed in Teesside University Research Data Repository

This dataset supports the manuscript entitled “Stage-Integrated Fire Resilience Assessment of Forest Vegetation and Its Driving Factors”.

Description

It contains processed datasets, source data for the main figures and tables, metadata, and Python scripts used to quantify post-fire vegetation resilience in Northeast China.The study integrates three linked dimensions of vegetation resilience, including pre-fire ecosystem health, resistance during fire, and post-fire recovery.

Fire-free counterfactual vegetation trajectories were reconstructed using a Transformer-based framework, and multiple resilience indicators derived from EVI, SIF, and NPP were integrated into a composite resilience index using tensor decomposition.The repository includes event-level and pixel-level resilience data, pre-fire health metrics, fire-event attributes, statistical summary tables, and analysis scripts required to reproduce the core results reported in the manuscript.

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Original remote-sensing, fire, and environmental datasets were obtained from publicly available third-party sources described in the associated article and metadata files.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/bk7rx9g3xg.111 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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