A Global Perspective on Lunar Granular Flows: Lunar granular flow catalog

This catalog contains all lunar granular flows mapped in LRO NAC images using a Convolutional Neural Network, as presented and discussed in Bickel et al. (2022), Geophysical Research Letters: doi.org/10.1029/2022GL098812, capped at 60°N and 60°S (only images with solar incidence angles between 10 and 60° have been used). The catalog has been reviewed by a human expert and contains 28,101 detections. The catalog contains information about (sequentially): NAC_ID (image id), C_LON (detection box center longitude), C_LAT (detection box center latitude), UL_LON (detection box upper left longitude), UL_LAT (detection box upper left latitude), F_DIAM (estimated flow toe diameter in meter, not calibrated!), X_LEN_P (detection box x horizontal length in pixel), Y_LEN_P (detection box y vertical length in pixel), X_LEN_M (detection box x horizontal length in meter), Y_LEN_M (detection box y vertical length in meter), UL_X_IMG (detection box upper left image x horizontal coordinate), UL_Y_IMG (detection box upper left image y vertical coordinate), LR_X_IMG (detection box lower right image x horizontal coordinate), LR_Y_IMG (detection box lower right image y vertical coordinate), C (network confidence [posterior probability] in percent), RES (NAC spatial resolution in m/pixel).

Please refer to Bickel et al. (2022), Geophysical Research Letters (doi.org/10.1029/2022GL098812) for details about the methods and auxiliary datasets used to generate this catalog as well as the limitations.