Mapping tree canopy height in complex terrain of northern China using ultra-high-resolution images

The PlanetScope 8-band imagery, Digital Elevation Model (DEM), ETH 2020 10-meter resolution, and Meta 2024 1-meter resolution tree height products used in this study, along with the derived tree height and tree height uncertainty products and the code used for predictions.

Institutions

China Agricultural University (CN)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-06-08
DOI: https://doi.org/10.5281/zenodo.15617214
Primary Topic: Mental Health via Writing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Mapping tree canopy height in complex terrain of northern China using ultra-high-resolution images

Jun 8, 2025

Zenodo (CERN European Organization for Nuclear Research)

Mental Health via Writing

article

Mapping tree canopy height in complex terrain of northern China using ultra-high-resolution images

June 8, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

China Agricultural University (CN)

Openalex Percentile: Top 48%

Mental Health via Writing

DOI Open Access PDF OpenAlex

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Mapping tree canopy height in complex terrain of northern China using ultra-high-resolution images · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS