Pinned Repositories
DroneAllometryAnalysis
Code and summary outputs from Cunliffe et al. "Global application of a drone photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems" in Remote Sensing in Ecology and Conservation
OrcaManuscript
R code for statistical analyses and data visualisation
PinonAllometry
Code for analysing data for Pinion allometry manuscript
fawcett_dryland_DGVM_evaluation
SFM_Precision
A workflow to create precision maps in python
Metashape_Auto_Workflow
An automated workflow for processing drone imagery in PhotoScan
chmloader
Download and review 1 m Canopy Height Model data produced by Tolan et al. (2024)
Kirinyet-MSc_dissertation_modelling_SOC_with_ML_models
Code for MSc dissertation project on utilizing Machine Learning to map soil organic carbon in Rangelands: A case study of Umzimvubu, Eastern Cape, South Africa.
Pickstone_et_al_predicting_forest_canopy_height_from_optical_data
Code for MSc dissertation project on assessing the use of machine learning tools to improve retrievals of aboveground biomass in tropical forests, in partnership with Permian Global.
TESS-Lab-Utilities
AndrewCunliffe's Repositories
AndrewCunliffe/DroneAllometryAnalysis
Code and summary outputs from Cunliffe et al. "Global application of a drone photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems" in Remote Sensing in Ecology and Conservation
AndrewCunliffe/OrcaManuscript
R code for statistical analyses and data visualisation
AndrewCunliffe/PinonAllometry
Code for analysing data for Pinion allometry manuscript