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Data · dataset · 2025

Aboveground Biomass in Tajikistan

Listed in Teesside University Research Data Repository

We develop a dynamic sampling scale-up method for AGB estimation by integrating multi-source data from Sentinel-2 MSI, Unmanned Aerial Vehicle (UAV), and ground observations.

Description

Initially, UAV and Sentinel-2 multispectral images are separately combined with ground-measured data for feature interaction analysis and factors selection. Subsequently, eight machine-learning models are constructed and optimized for AGB estimation at different scales.

The dynamic sampling scale-up algorithm based on UAV and ground data enhances AGB estimation accuracy based on the optimal models.

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Where it is published

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Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/rjphh3yxs4.119 h agoJSON v1
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concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:remote-sensingmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Remote Sensing']
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