Abel Ramoelo

Google Earth Engine: A Global Analysis and Future Trends

A review of UAV monitoring in mining areas: current status and future perspectives

A bibliometric and thematic approach to agriculture 4.0

Smart farming using artificial intelligence: A review

HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging

Analysis of Spatial and Temporal Variations of Vegetation Index in Liaodong Bay in the last 30 years based on the GEE Platform

Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach

Early Identification of Root Rot Disease by Using Hyperspectral Reflectance: The Case of Pathosystem Grapevine/Armillaria

Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods

A comparison of selected classification algorithms for mapping bamboo patches in lower Gangetic plains using very high resolution WorldView 2 imagery

Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data

Assessing canopy PRI from airborne imagery to map water stress in maize

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning

Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

Effective data generation for imbalanced learning using conditional generative adversarial networks

Combining Hyperspectral and Lidar Data for Vegetation Mapping in the Florida Everglades

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

Random forest in remote sensing: A review of applications and future directions

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping

Modern Trends in Hyperspectral Image Analysis: A Review

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms

Optimal dates for assessing long-term changes in tree-cover in the semi-arid biomes of South Africa using MODIS NDVI time series (2001–2018)

Spectral variability within species and its effects on Savanna tree species discrimination

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data

Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

An investigation into robust spectral indices for leaf chlorophyll estimation