Leveraging Sentinel-2 and Machine Learning for Precise Identification of Plantation Forests in the Upper Blue Nile

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Forest Science and Technology

• Publication date

  2026-01-28

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/21580103.2026.2621009
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Soil moisture retrieval under different land cover conditions based on Sentinel-1 SAR

  2026cited by this paper
• Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud

  2025cited by this paper
• Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia

  2025cited by this paper
• Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels

  2025cited by this paper
• Plantation forests driven spatiotemporal vegetation trends and its interplay with climate variables in the Northwestern Highlands of Ethiopia

  2025cited by this paper
• Remote Sensing and Geospatial Analysis in the Big Data Era: A Survey

  2025cited by this paper
• Identification of Commercial Forest Tree Species Using Sentinel 2 and Planet Scope Imageries in the Usutu Forest, Eswatini

  2025cited by this paper
• Identification of dominant species of submerged vegetation based on Sentinel-2 red-edge band: A case study of Lake Erhai, China

  2025cited by this paper
• Impact of Eucalyptus plantations on Ecosystem Services in the Blue Nile Basin of Ethiopia

  2024cited by this paper
• Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models

  2024cited by this paper
• Developing a Forest Description from Remote Sensing: Insights from New Zealand Science of Remote Sensing

  2024cited by this paper
• Millet Crop Yield Variation through Feature Extraction Using XGBoost

  2024cited by this paper
• Enhancing chlorophyll content monitoring in coastal wetlands: Sentinel-2 and soil-removed semi-empirical models for phenotypically diverse Suaeda salsa

  2024cited by this paper
• A fine crop classification model based on multitemporal Sentinel-2 images

  2024cited by this paper
• Implementation of Feature Selection Strategies to Enhance Classification Using XGBoost and Decision Tree

  2024cited by this paper
• Modeling the Spatial Distribution of Acacia decurrens Plantation Forests Using PlanetScope Images and Environmental Variables in the Northwestern Highlands of Ethiopia

  2024cited by this paper
• Land use land cover change and intensity analysis of land transformation in and around a moist semi-deciduous forest in Ghana

  2024cited by this paper
• Local and regional climate trends and variabilities in Ethiopia: Implications for climate change adaptations

  2023cited by this paper
• Examining the Impacts of Plantation Forests on Human and Plant Communities in the Ethiopian Highlands

  2023cited by this paper
• Vegetation Trend Detection Using Time Series Satellite Data as Ecosystem Condition Indicators for Analysis in the Northwestern Highlands of Ethiopia

  2023cited by this paper
• Machine Learning and Remote Sensing Integration for Leveraging Urban Sustainability: A Review and Framework

  2023cited by this paper
• Machine Learning and Deep Learning Techniques for Spectral Spatial Classification of Hyperspectral Images: A Comprehensive Survey

  2023cited by this paper
• Remediation of acid soils and soil property amelioration via Acacia decurrens-based agroforestry system

  2022cited by this paper
• Assessing the impacts of land use/cover changes on ecosystem service values in Rib watershed, Upper Blue Nile Basin, Ethiopia

  2022cited by this paper
• Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting

  2022cited by this paper
• Forest landscape planning and management: A State-of-the-Art Review

  2022cited by this paper
• The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring

  2022cited by this paper
• Health assessment of plantations based on LiDAR canopy spatial structure parameters

  2022cited by this paper
• Conversion of crop land use to plantation land use, northwest Ethiopia

  2021cited by this paper
• Eucalyptus forest plantation assessment of vegetation health using satellite remote sensing techniques

  2021cited by this paper
• A machine learning-based classification of LANDSAT images to map land use and land cover of India

  2021cited by this paper
• A comparison among interpretative proposals for Random Forests

  2021cited by this paper
• An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches

  2021cited by this paper
• Machine Learning Algorithm for Classification

  2021cited by this paper
• Expansion of Acacia decurrens plantation on the acidic highlands of Awi zone, Ethiopia, and its socio-economic benefits

  2021cited by this paper
• Land Cover Change in the Blue Nile River Headwaters: Farmers’ Perceptions, Pressures, and Satellite-Based Mapping

  2021cited by this paper
• Impacts of Land Use and Land Cover Change on Soil Erosion and Hydrological Responses in Ethiopia

  2021cited by this paper
• The impacts of Acacia decurrens plantations on livelihoods in rural Ethiopia

  2021cited by this paper
• Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data

  2020cited by this paper
• Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology

  2020cited by this paper
• Economic and financial sustainability of an Acacia decurrens-based Taungya system for farmers in the Upper Blue Nile Basin, Ethiopia

  2020cited by this paper
• Assessing the synergistic potential of Sentinel-2 spectral reflectance bands and derived vegetation indices for detecting and mapping invasive alien plant species

  2020cited by this paper
• Effects of Acacia decurrens Willd. tree-based farming system on soil quality in Guder watershed, North Western highlands of Ethiopia

  2020cited by this paper
• Sentinel-2 Data for Land Cover/Use Mapping: A Review

  2020cited by this paper
• A new locally adaptive k-nearest neighbor algorithm based on discrimination class

  2020cited by this paper
• Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model

  2020cited by this paper
• Hydrological responses to land use/land cover change and climate variability in contrasting agro-ecological environments of the Upper Blue Nile basin, Ethiopia.

  2019cited by this paper
• Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

  2019cited by this paper
• Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016

  2019cited by this paper
• Land use and land cover dynamics and drivers in the Muga watershed, Upper Blue Nile basin, Ethiopia

  2019cited by this paper
• Advances in water resources research in the Upper Blue Nile basin and the way forward: A review

  2018cited by this paper
• Effects of climate change on water resources in the upper Blue Nile Basin of Ethiopia

  2018cited by this paper
• Analyzing the variability of sediment yield: A case study from paired watersheds in the Upper Blue Nile basin, Ethiopia

  2018cited by this paper
• Implementation of machine-learning classification in remote sensing: an applied review

  2018cited by this paper
• Mixed-species versus monocultures in plantation forestry: Development, benefits, ecosystem services and perspectives for the future

  2018cited by this paper
• More Than Meets the Eye: Using Sentinel-2 to Map Small Plantations in Complex Forest Landscapes

  2018cited by this paper
• Factors Affecting Small-Scale Farmers’ Land Allocation and Tree Density Decisions in an Acacia decurrens-Based taungya System in Fagita Lekoma District, North-Western Ethiopia

  2017cited by this paper
• Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India – A multi-scale satellite remote sensing approach

  2017cited by this paper
• Evaluation and prediction of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia

  2017cited by this paper
• K-Nearest Neighbor combined with guided filter for hyperspectral image classification

  2017cited by this paper
• Effects of Acacia decurrens ( Green wattle ) Tree on selected Soil Physico-chemical properties North-western Ethiopia

  2017cited by this paper
• Forest biodiversity, ecosystem functioning and the provision of ecosystem services

  2017cited by this paper
• Soil Restoration after seven Years of Exclosure Management in Northwestern Ethiopia

  2017cited by this paper
• Using Vegetation Indices as Input into Random Forest for Soybean and Weed Classification

  2016cited by this paper
• Mapping Annual Forest Cover in Sub-Humid and Semi-Arid Regions through Analysis of Landsat and PALSAR Imagery

  2016cited by this paper
• First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

  2016cited by this paper
• Review of studies on tree species classification from remotely sensed data

  2016cited by this paper
• Land-use change modelling in the Upper Blue Nile Basin

  2016cited by this paper
• Random forest in remote sensing: A review of applications and future directions

  2016cited by this paper
• Changes in planted forests and future global implications

  2015cited by this paper
• Development and assessment of a 250 m spatial resolution MODIS annual land cover time series (2000–2011) for the forest region of Canada derived from change-based updating

  2014cited by this paper
• Diurnal rainfall variability over the Upper Blue Nile Basin: A remote sensing based approach

  2013cited by this paper
• Plantation forests, climate change and biodiversity

  2013cited by this paper
• Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

  2013cited by this paper
• Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data

  2012cited by this paper
• Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

  2012cited by this paper
• Lidar sampling for large-area forest characterization: A review

  2012cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

  2011cited by this paper
• Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests

  2008cited by this paper
• The application of artificial neural networks in plant protection

  2007cited by this paper
• Artificial neural networks for mapping regional‐scale upland vegetation from high spatial resolution imagery

  2006cited by this paper
• Effects of afforestation on water yield: a global synthesis with implications for policy

  2005cited by this paper
• Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.

  2003cited by this paper
• The Climate and Hydrology of the Upper Blue Nile River

  2000cited by this paper
• ASSESSING PHOTOSYNTHETIC RADIATION-USE EFFICIENCY OF EMERGENT AQUATIC VEGETATION FROM SPECTRAL REFLECTANCE

  1997cited by this paper
• Use of a green channel in remote sensing of global vegetation from EOS- MODIS

  1996cited by this paper

• No citing papers are available for this paper.