Aplin, P.[Paul]
* 2004: Predicting Missing Field Boundaries to Increase Per-Field Classification Accuracy
* 2012: Earth Observation Technology Cluster, The
* 2013: Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations
* 2013: STARS: A New Method for Multitemporal Remote Sensing
* 2013: Super-resolution image analysis as a means of monitoring bracken (Pteridium aquilinum) distributions
* 2015: Innovative Technologies for Terrestrial Remote Sensing
* 2016: Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach
* 2017: Scrubbing Up: Multi-Scale Investigation of Woody Encroachment in a Southern African Savannah
* 2018: Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning
* 2020: Probabilistic Mapping and Spatial Pattern Analysis of Grazing Lawns in Southern African Savannahs Using WorldView-3 Imagery and Machine Learning Techniques
* 2020: Time-Series Satellite Imagery Demonstrates the Progressive Failure of a City Master Plan to Control Urbanization in Abuja, Nigeria
* 2023: Developing the Role of Earth Observation in Spatio-Temporal Mosquito Modelling to Identify Malaria Hot-Spots
Includes: Aplin, P.[Paul] Aplin, P.
12 for Aplin, P.