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

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/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