Using drone imagery and image segmentation techniques to automatically delineate individual apple trees
Drone imagery is often used to calculate vegetation indices such as the normalized difference vegetation index (NDVI) to characterize the condition of individual trees in orchards. Individual trees are often defined as a centroid (centre of the [...]
Efficacy of machine learning and LiDAR data for crop type mapping
By Atman Prins Accurate crop type maps are important for obtaining agricultural statistics such as water use or harvest estimations. The traditional approach to obtaining maps of cultivated fields is by manually digitising the [...]
TerraClim – StoryMap
We are progressing well with the TerraClim project, and major milestone in the efficiency and accuracy of interpolations.The regional interpolation analysis divided the Western Cape study area into smaller regions using the local terrain [...]
Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms
by Atman Prins The second experiment used the methods developed for the first experiment to perform a five-class classification. The five classes consisted of maize, cotton, groundnuts, orchards and non-agriculture. Sentinel-2 and aerial imagery [...]
CITRII – Burgersford Citrus Orchards
This video is a flyover showing the results of a satellite image (WorldView-2 dated 15 March 2020) analysis of a citrus orchard draped over the Digital Elevation Model of South Africa at [...]
VIDEO #03 | THE TERRACLIM PROJECT | WHAT’S NEXT?
Wynland has released part three of Winetech's flagship project, TerraClim, being undertaken by the CGA. For many wine grape producers in South Africa, access to accurate and [...]