Making geospatial data science accessible
Making geospatial data science accessible
About KELP
KELP was founded in 2024 to bring rigorous geospatial analytics and data science to organisations tackling complex spatial challenges. The company combines satellite remote sensing, machine learning, and geospatial analysis to deliver insights that support better decisions in environmental monitoring, infrastructure assessment, and strategic planning.
What distinguishes KELP is its foundation in academic research methodology. The analytical approaches used are grounded in peer-reviewed methods that demand validation, reproducibility, and transparent processes. These standards translate directly into reliable analysis that decision-makers can trust.
Since 2024, KELP has partnered with Sustainability First, water companies including South Staff Water and Cambridge Water, and LSConsulting. Projects have ranged from mapping vulnerability and forecasting demographic change across water service areas to forecast fuel poverty in England and Scotland and analysing customer tax databases.
The work of KELP integrates diverse data sets including satellite imagery, demographic information, infrastructure networks, and environmental parameters. Each project uses methods matched to the specific challenge, delivering analysis that respects complexity while providing clarity for strategic decisions.
About the founder
Davide Lomeo founded KELP while completing doctoral research in Earth Observation Science at King’s College London, where he developed machine learning and deep learning methods for satellite remote sensing applications. His research has addressed challenges spanning water quality monitoring, ecosystem health, and land cover change across the Globe.
Davide has published in leading international journals including Science of the Total Environment and Remote Sensing:
- Lomeo, D., et al. (2024). Remote sensing and spatial analysis reveal unprecedented cyanobacteria bloom dynamics associated with elephant mass mortality. Science of the Total Environment, 957, 177525.
- Lomeo, D., Singh, M. (2022). Cloud-based monitoring and evaluation of the spatial-temporal distribution of Southeast Asia’s mangroves using deep learning. Remote Sensing, 14(10), 2291.
View full publication list on Google Scholar →
Beyond research, Davide has led Earth Observation training workshops across Africa, teaching satellite and geospatial data analysis and Google Earth Engine to researchers and practitioners. This experience shaped KELP’s commitment to making sophisticated analysis accessible and ensuring that technical capabilities serve clear, practical objectives, with attention to real-world problems that have a true positive impact.
Connect with the founder through LinkedIn →