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 Rwanda’s Trees from Above

Domaine:

geospatialenvironment and energy

Type de record:

paper
Créateur:
Hop
Éditeur:
Ame
Hôte:
Researchers used both aerial and satellite imagery, as well as machine learning, to map the carbon stock of every overstory tree in Rwanda—the first such inventory in the world.

Visit

doi.org

Tasks

computer vision

Similaires

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of MalawiReparation in Rwanda’s gacaca courtsenyandwi7/Population-Housing-Structures-in-Rwanda-Inferred-from-Above-Mapping of the Acacia trees and mycetoma distribution in Sudan and South Sudan.Assessment of land degradation ‘on the ground’ and from ‘above’Data for: Mapping of individual urban trees and relationships within informal settlements in Africa

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

In this study we present general (multiple tree species from several sites) above- and belowground b

Reparation in Rwanda’s gacaca courts

The Rwandan gacaca courts that dealt with the legacy of the 1994 genocide against Tutsi were inspire

enyandwi7/Population-Housing-Structures-in-Rwanda-Inferred-from-Above-

In planning, practitioners mainly rely on administrative registers and census data for population s

Mapping of the Acacia trees and mycetoma distribution in Sudan and South Sudan.

Adopted from Samy AM, van de Sande WWJ, Fahal AH, Peterson AT. Mapping the Potential Risk of Myce

Assessment of land degradation ‘on the ground’ and from ‘above’

Abstract Assessments of land degradation vary in methodology and outcome. The objective of this stu

Data for: Mapping of individual urban trees and relationships within informal settlements in Africa

This repository contains the identification results of individual urban trees in Africa (IUTAC-1) p