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.

Deep-learning based high-resolution mapping shows woody vegetation densification in greater Maasai Mara ecosystem

Créateur:
WanRobMicPed
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Languages

Maasai

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-license

Similaires

Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning by SAGA GISDeep Noisy-Label Learning Based Cross-Resolution Land-Cover Mapping in KenyaCountry-wide high-resolution vegetation height mapping with Sentinel-2Integrative Spatial Modeling for Ecosystem Management: A Case Study in Maasai MaraDeep Learning Monitoring of Woody Vegetation Density in a South African Savannah RegionHigh-Resolution Maize Yield Mapping across Africa using Earth Observation and Machine Learning, Deep Learning, and Foundation Model

Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning by SAGA GIS

Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecolog

Deep Noisy-Label Learning Based Cross-Resolution Land-Cover Mapping in Kenya

Abstract. High-resolution land-cover information is critical for environmental monitoring across rap

Country-wide high-resolution vegetation height mapping with Sentinel-2

Sentinel-2 multi-spectral images collected over periods of several months were used to estimate vege

Integrative Spatial Modeling for Ecosystem Management: A Case Study in Maasai Mara

This study presents a generalized approach to wildlife management by introducing two adaptable model

Deep Learning Monitoring of Woody Vegetation Density in a South African Savannah Region

Bush encroachment in African savannahs has been identified as a land degradation process, mainly due

High-Resolution Maize Yield Mapping across Africa using Earth Observation and Machine Learning, Deep Learning, and Foundation Model

Abstract Africa’s food security is increasingly threatened by climate change and populatio