– Scientific abstract and conference poster –
Excerpt from Abstract,
“… During the initial preparation of landslide-mapping training and validation datasets for DL applications, we identified several areas for improving data quality in the existing landslide inventory.
Preliminary data interrogation and exploratory data analysis revealed data quality concerns that we are working to ameliorate. We identified four key areas for improvement: clarifying definition of terms, enhancing the mapping protocol, filling data gaps, and assessing mapping accuracy.
Some of these data quality issues are manageable with data cleaning and wrangling while others are less manageable… “
Scientific Poster (Geological Society of America 2024)