tejakattenborn Goto Github PK

anglecam

A deep learning-based method to infer leaf angle variation from photographs.

brinno_tlc200pro_avi_to_jpeg_meta

Converts .avi files from a TLC-200Pro to jpeg and extracts the time stamp from the image to text using the tesseract package.

brinno_to_vegetation_index

These ressources extract timeseries of image frames of Brinno TLC-200Pro imagery and calculate RGB vegetation indices.

cnn_rs_optimism

R-code to reproduce the analysis presented in our manuscript "Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks"terns"

dissolve_partly_overlapping_polygonfeatures

This script aims to dissolve/aggregate partly overlapping features in a polygon shapefile.

dji_h20t_rpeg_to_tif

gbif_trait_maps

images_or_scans_to_individual_leaf_area

This script calculates the mean leaf area of all leaves within an image (black&white or grey level images/scans).

images_or_scans_to_total_leaf_area

This script calculates the total area covered by leaves within an image (black&white or grey level images/scans). It was created in the context of Leaf water and dry matter content analysis.

mmd_conv_variational_autoencoder

Tensorflow 2.4 compatible version of the original code (tensorflow 1) posted on the TensorFlow for R blog

unet_spekboom

R-code to reproduce the study "Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery"