Skip to Main content Skip to Navigation
Conference papers

A comparison of spatialisation methods for the aggregation of LiDAR forest estimates at the compartment level

Abstract : From the plot to compartment level, prediction error decreases from 15 to 6.4% for basal area, 26 to 7.7% for stem density and 6.5 to 3.4% for dominant diameter. The major criterion for spatialisation is to respect the calibration plot size, whereas for aggregation the issue of compartment borders depends on the forest parameter.
Document type :
Conference papers
Complete list of metadata

https://hal.inrae.fr/hal-02601925
Contributor : Migration Irstea Publications Connect in order to contact the contributor
Submitted on : Saturday, May 16, 2020 - 7:07:33 AM
Last modification on : Saturday, December 18, 2021 - 3:59:31 AM

Identifiers

  • HAL Id : hal-02601925, version 1
  • IRSTEA : PUB00045341

Collections

Citation

J.M. Monnet, A. Munoz. A comparison of spatialisation methods for the aggregation of LiDAR forest estimates at the compartment level. Silvilaser 2015, Sep 2015, La Grande Motte, France. pp.2. ⟨hal-02601925⟩

Share

Metrics

Record views

13