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RiceExtent v1.0: A Global Rice-Specific Land Cover Product from Multi-Source Data Integration

Domaine:

agriculturegeospatial

Type de record:

dataset
Créateur:
AkaBawSeoChawanda, Celray James
Éditeur:
Baw Ja
Éditeur:
Tex
Hôte:avatar
The study presents RiceExtent v1.0, a harmonized, high resolution (10 m and 250 m), global rice-specific land cover dataset developed by integrating verified local, national, and regional rice maps with ESA WorldCover using a reliability-weighted spatial merging approach that prioritizes source accuracy and spatial detail. Using an extent-based merging strategy rather than annual averages, RiceExtent captures the maximum observed rice cultivation extent rice cultivation, effectively representing double and triple cropping, fragmented smallholder fields, and inter-annual variability often underrepresented in other products. The final product was validated against Spatial Production Allocation Model, RiceAtlas, and Global Rice, along with USDA rice production statistics and >29,000 ground-truth samples. The developed dataset captures an estimated global rice area of ~1.64 million km², closely aligning with official statistics and improving representation in Southeast Asia, South Asia, and Africa and the Americas. RiceExtent v1.0, provided through an open repository [repository name/link] with Python script offers a robust resource for agricultural monitoring, crop and hydrological modeling, and climate impact assessments, while enabling collaborative refinement of global rice mapping.

Visit

doi.orgdataverse.tdl.org

Tags

Agricultural SciencesEarth and Environmental SciencesEngineeringGlobal Rice specific Land cover

Licenses

info:eu-repo/semantics/openAccessCreative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

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