Work

Quantifying consistency among interpreters of reference data for estimation of harvest area through visual interpretation of remote sensing data

Year: 2025

Type: article

Source: Forestry An International Journal of Forest Research

DOI: 10.1093/forestry/cpaf077

Authors: Katsuto Shimizu, Hideki Saito, Tomoko Furuta, Hiroshi Sasakawa, Tomohiro Seto, Kinryou Mai, Chisato Kanamori, Akihiko Hirano, Nozomi Kanemoto

Institutions: Forestry and Forest Products Research Institute, Japan Forest Technology Association

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

OpenAlex ID: W4416425899

FWCI: 0.875

Cites: 30

Cited by: 3

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