Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Mapping Tree Height in Burkina Faso Parklands with TanDEM-X

Domaine:

geospatialagriculture
Créateur:
MacMarJulHug
Éditeur:
MDP
Hôte:
Mapping of tree height is of great importance for management, planning, and research related to agroforestry parklands in Africa. In this paper, we investigate the potential of spotlight-mode data from the interferometric synthetic aperture radar (InSAR) satellite system TanDEM-X (TDM) for mapping of tree height in Saponé, Burkina Faso, a test site characterised by a low average canopy cover (~15%) and a mean tree height of 9.0 m. Seven TDM acquisitions from January–April 2018 are used jointly to create high-resolution (~3 m) maps of interferometric phase height and mean canopy elevation, the latter derived using a new, model-based processing approach compensating for some effects of the side-looking geometry of SAR. Compared with phase height, mean canopy elevation provides a more accurate representation of tree height variations, a better tree positioning accuracy, and better tree height estimation performance when assessed using 915 trees inventoried in situ and representing 15 different species/genera. We observe and discuss two bias effects, and we use empirical models to compensate for these effects. The best-performing model using only TDM data provides tree height estimates with a standard error (SE) of 2.8 m (31% of the average height) and a correlation coefficient of 75%. The estimation performance is further improved when TDM height data are combined with in situ measurements; this is a promising result in view of future synergies with other remote sensing techniques or ground measurement-supported monitoring of well-known trees.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/

Similaires

Improving Forest Height-To-Biomass Allometry With Structure Information: A Tandem-X StudyForest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar DataCarbon sequestration potential of smallholder agroforestry parklands in Burkina Faso: Way forward for REDD+ implementationCountry-Scale Mapping Of Forest Parameters Using Deep Learning And Tandem-X Insar DataFood composition table of selected local tree species in Burkina Fasotenever4/Monitoring-Tree-Restoration-Ethiopia: Tree Canopy Height ResUNet Model

Improving Forest Height-To-Biomass Allometry With Structure Information: A Tandem-X Study

Allometric relations that link forest above ground biomass to top forest (i.e., canopy) height are o

Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data

Model-based forest height inversion from Pol-InSAR data relies on the realistic parameterization of

Carbon sequestration potential of smallholder agroforestry parklands in Burkina Faso: Way forward for REDD+ implementation

Country-Scale Mapping Of Forest Parameters Using Deep Learning And Tandem-X Insar Data

International audience Highly accurate estimates of canopy height (CH) and above grou

Food composition table of selected local tree species in Burkina Faso

Poor diet quality contributes to stunting in children under five years’, micronutrient deficiencies,

tenever4/Monitoring-Tree-Restoration-Ethiopia: Tree Canopy Height ResUNet Model

End-to-end workflows for training, validation, testing, and inference of a ResUNet model designed fo