Planted Forest Distribution and Tree Species in East Asia for 2020
by Akane Abbasi
Available on 1 platform
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Description
East Asia's planted forest distribution is mapped for China, Japan, South Korea, and North Korea. The dataset contains vector polygons representing forested areas from 2020, each approximately 1 square kilometer, with attributes for forest type, predicted dominant tree genus, and model confidence bounds. It was created by Akane Abbasi and shared via Papers with Code under an Open Access license.
Use Cases
Mapping the extent of planted versus natural forests based on the 'Type' classification.
Modeling uncertainty in forest cover predictions using the upper, midpoint, and lower bound percentage fields.
Identifying regions dominated by specific tree genera for ecological studies based on the 'Genus' attribute.
Calculating total planted forest area by country using the 'Area_m2' and 'Country' fields.
Strengths
Spatial resolution is defined at approximately 1 square kilometer per polygon.
Includes model uncertainty estimates with separate upper, midpoint, and lower bound predictions for percent planted forest.
Covers four major East Asian countries: China, Japan, South Korea, and North Korea.
Attributes include both forest type classification and predicted dominant tree species genus.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Akane Abbasi via Papers with Code.
Collection Method
Likely derived from remote sensing data and national forest maps, combined with predictive modeling.
Time Range
2020
Geography
East Asia (China, Japan, South Korea, North Korea).
Data for South Korea and parts of Japan uses national maps instead of model predictions, resulting in NA values for some percentage fields.