Vegetation Variables (North America Region)

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Authors: Anping Chen, Yuchao Yan, Yiling Cai
Cited by: 0

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Abstract

Vegetation variables processed to an ~8 km (1/12°) spatial resolution strictly follow the methodology described in the manuscript, including:Vegetation structure and composition (evergreen broadleaf forest, evergreen coniferous forest, deciduous broadleaf forest, deciduous coniferous forest, mixed forest, shrubland, woodland, savanna, and grassland), Forest coverForest gainForest lossForest management categories (intact, regenerating, and planted forests)Canopy heightTree densityForest ageTrait variables (specific leaf area, leaf nitrogen content, leaf phosphorus content, and leaf dry matter content)rooting depthSpecies diversity effectNative species richness

Fields of Study & Subjects

Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Ecology and Vegetation Dynamics Studies

Publication details

Journal / source
Figshare
Publication date
16 March 2026
Language
EN
Document type
Dataset