Spaceborne Canopy Height Products Should Be Complemented With Airborne Laser Scanning Data: Toward A European Canopy Height Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F26%3A00014168" target="_blank" >RIV/46747885:24510/26:00014168 - isvavai.cz</a>

Result on the web

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025EA004544" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025EA004544</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2025EA004544" target="_blank" >10.1029/2025EA004544</a>

Result language

angličtina

Original language name

Spaceborne Canopy Height Products Should Be Complemented With Airborne Laser Scanning Data: Toward A European Canopy Height Model

Original language description

Understanding the structure of vegetation is important for studying ecosystems and making informed environmental decisions. To meet the growing need for detailed vegetation data, scientists are combining satellite data with machine learning to estimate vegetation structure at very fine scales. However, these satellite-based models can have large errors when compared to more accurate measurements collected from airborne laser scanning (ALS). In this study, we show that in regions such as Europe, where extensive ALS data are available, it‘s better to use these local data than to rely on less accurate predictions from satellite products. Currently, around 30 European countries have completed or are close to completing nationwide airborne laser scanning, with several others partially covered. Newer acquisitions are being collected at increasingly higher point densities, providing more detailed information about 3D vegetation structure. We therefore emphasize the need to create consistent and accessible vegetation height maps using ALS data. This will require better coordination of data collection, standardized processing, and open data access. These detailed maps are not only useful for applications in forestry, ecology, and conservation, but they are also essential for improving future satellite missions that monitor Earth‘s vegetation.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10500 - Earth and related environmental sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2026

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Earth and Space Science>

ISSN

2333-5084

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

20

Pages from-to

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UT code for WoS article

001656990700001

EID of the result in the Scopus database

2-s2.0-105027004310