deepTerra -- AI Land Classification Made Easy

TL;DR

deepTerra is an integrated platform that simplifies land surface classification using machine learning and satellite imagery, covering data handling, model training, and prediction workflows.

Contribution

It introduces a comprehensive, user-friendly platform for land classification that streamlines the entire machine learning workflow for satellite imagery analysis.

Findings

Successfully applied to multiple research areas

Streamlined workflow from data collection to prediction

Demonstrated effectiveness in land surface classification

Abstract

deepTerra is a comprehensive platform designed to facilitate the classification of land surface features using machine learning and satellite imagery. The platform includes modules for data collection, image augmentation, training, testing, and prediction, streamlining the entire workflow for image classification tasks. This paper presents a detailed overview of the capabilities of deepTerra, shows how it has been applied to various research areas, and discusses the future directions it might take.