Recent advancements in sensor technologies enable high-resolution remote sensing and automated feature extraction. With tools like UAVs and MMS (Mobile Mapping System), there’s a growing need to process quantitative information from geospatial information. However, managing the vast volumes of data and the lack of tailored software hinder research collaboration. We introduce the Data to Science (D2S), an open-source online platform for Geospatial data management. D2S features a web app, QGIS plugin, and Python library, allowing users to upload, manage, and visualize data products like orthomosaics and point clouds. The platform converts data into cloud-native formats, offers interactive visualization, and supports data access control. Users can generate new data products and perform analyses. Additionally, the QGIS plugin and D2SE Python package facilitate seamless desktop and programmatic access to data.
Dr. Jinha Jung is an Associate Professor in the School of Civil and Construction Engineering at Purdue University. He received his Ph.D. degree in Geomatics - Civil Engineering, specializing in Computational Science & Engineering at Purdue University in 2011. He worked as a postdoctoral research associate at the University of Illinois at Chicago & Purdue University and worked as a faculty at Texas A&M University-Corpus Christi from 2014 until he joined Purdue University in 2019. Dr. Jung is noted for his work in 1) the development of UAS based High Throughput Phenotyping system for agriculture applications, 2) developing algorithms to process UAS data for feature extraction, 3) data fusion of hyperspectral and full-waveform LiDAR data, 4) vegetation structural analysis using LiDAR data, 5) high-performance computing for advanced remote sensing algorithm development, and 6) WebGIS software development using Free and Open Source Software (FOSS).