Data and script for "Monitoring tropical forests with light drones: ensuring spatial and temporal consistency in stereophotogrammetric products"

Light drones provide a cheap and effective tool to monitor forest canopies especially in tropical and equatorial contexts, where infrastructure and resources are limiting. In these regions, good quality optical satellite images are rare, yet the stakes are maximal to characterize forest function, dynamics, diversity and phenology, and more generally the vegetation-climate interplay. In a companion paper, we describe a complete processing chain based on photogrammetric tools, that seeks to optimize the spatial and spectral coherence between repeat image mosaics at centimetric resolution. Our target is to allow individual tree level monitoring over tens to hundreds hectare scales with consumer grade equipment (i.e., quadcopter with stabilized RGB camera, standard GNSS positioning). This archive contains dataset and R scripts allowing reproducing the analyses and results presented in the paper and comprise both a test set of a few contrasted acquisition dates with DJI Phantom 4 advanced RGB Phantom multispectral drones and a long time series of 84 dates combining data from the same drones and RGB data from a DJI Mavic 2 device. We also provide the complete processing chain for review, even though it will be accessible on gihub after publication.