Mutafchiev, L.
* 2013: Asymptotic Analysis and Random Sampling of Digitally Convex Polyominoes
Mutakabbir, A.[Abdul]
* 2026: NOAH: A Multi-Modal and Sensor Fusion Dataset for Generative Modeling in Remote Sensing
Mutale, B.[Bwalya]
* 2023: Spatiotemporal Gravitational Evolution of the Night Land Surface Temperature: An Empirical Study Based on Night Lights
Mutalib, A.A.[Ariffin Abdul]
* 2009: Assistive Courseware for Visually-Impaired
* 2017: Integrating Learning Techniques into iCAL4LA-Bijak Matematik Courseware to Motivate Low Achieving Children in Learning
Mutalik, S.[Sripurna]
* 2022: Method to Improve UI Rendering using Predictive Sequence Modelling
Mutanen, T.[Teemu]
* 2023: Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery
Mutanga, O.[Onisimo]
* 2012: Discriminating indicator grass species for rangeland degradation assessment using hyperspectral data resampled to AISA Eagle resolution
* 2013: Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu-Natal, South Africa
* 2014: Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
* 2014: Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels
* 2014: Integrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests
* 2015: Capability of models to predict leaf N and P across four seasons for six sub-tropical forest evergreen trees
* 2015: Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa
* 2015: Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments
* 2015: Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas
* 2016: Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing
* 2016: Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms
* 2016: impact of integrating WorldView-2 sensor and environmental variables in estimating plantation forest species aboveground biomass and carbon stocks in uMgeni Catchment, South Africa, The
* 2016: Optimising the spatial resolution of WorldView-2 pan-sharpened imagery for predicting levels of Gonipterus scutellatus defoliation in KwaZulu-Natal, South Africa
* 2016: Progress in the remote sensing of C3 and C4 grass species aboveground biomass over time and space
* 2017: Estimating Biomass of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives
* 2017: Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species
* 2017: Mapping leaf nitrogen and carbon concentrations of intact and fragmented indigenous forest ecosystems using empirical modeling techniques and WorldView-2 data
* 2017: Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models
* 2017: Remote Sensing of Above-Ground Biomass
* 2017: Remote sensing of species diversity using Landsat 8 spectral variables
* 2017: Stand-volume estimation from multi-source data for coppiced and high forest Eucalyptus spp. silvicultural systems in KwaZulu-Natal, South Africa
* 2018: Determining Optimal New Generation Satellite Derived Metrics for Accurate C3 and C4 Grass Species Aboveground Biomass Estimation in South Africa
* 2018: Evaluating the Applications of the Near-Infrared Region in Mapping Foliar N in the Miombo Woodlands
* 2018: Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
* 2018: Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data
* 2019: Discrimination of Tomato Plants (solanum Lycopersicum) Grown Under Anaerobic Baffled Reactor Effluent, Nitrified Urine Concentrate And Commercial Hydroponic Fertilizer Regimes Using Multi-source Satellite
* 2019: Feature Selection on Sentinel-2 Multispectral Imagery for Mapping a Landscape Infested by Parthenium Weed
* 2019: Google Earth Engine Applications
* 2019: Multi-season RapidEye imagery improves the classification of wetland and dryland communities in a subtropical coastal region
* 2019: Usability, Strength and Practicality of The Upcoming Hyspiri In Detecting Maize Gray Leafy Spot in Relation to Sentinel-2 Msi, Venµs And Landsat 8 Oli Spectral Band-settings
* 2020: Environmental sustainability with remote sensing in Africa
* 2020: UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions
* 2021: Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data, A
* 2021: Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges
* 2021: Investigating the Relationship between Tree Species Diversity and Landsat-8 Spectral Heterogeneity across Multiple Phenological Stages
* 2021: Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape, The
* 2022: Cool Roofs as a Heat-Mitigation Measure in Urban Heat Islands: A Comparative Analysis Using Sentinel 2 and Landsat Data
* 2022: Determining the Capability of the Tree-Based Pipeline Optimization Tool (TPOT) in Mapping Parthenium Weed Using Multi-Date Sentinel-2 Image Data
* 2022: Determining the Influence of Long Term Urban Growth on Surface Urban Heat Islands Using Local Climate Zones and Intensity Analysis Techniques
* 2022: Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information
* 2022: Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models
* 2022: Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach
* 2023: Assessing the Prospects of Remote Sensing Maize Leaf Area Index Using UAV-Derived Multi-Spectral Data in Smallholder Farms across the Growing Season
* 2023: Carbon Stock Prediction in Managed Forest Ecosystems Using Bayesian and Frequentist Geostatistical Techniques and New Generation Remote Sensing Metrics
* 2023: Fine-scale characterization of irrigated and rainfed croplands at national scale using multi-source data, random forest, and deep learning algorithms
* 2023: Remote Sensing Grassland Productivity Attributes: A Systematic Review
* 2023: Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa
* 2023: Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
Includes: Mutanga, O.[Onisimo] Mutanga, O.
48 for Mutanga, O.
Mutasim, A.K.
* 2018: Effect of Artefact Removal Techniques on EEG Signals for Video Category Classification