Climate Risk & Geospatial Analytics

Decision-ready climate risk insights
from geospatial data.

I build asset-level hazard exposure metrics, scenario-driven comparisons, and clear visual narratives by combining spatial analytics, remote sensing, and workflow automation for planning, investment, and policy.

Physical climate risk Flood & rainfall analytics 2D flood modelling Exposure metrics Remote sensing indices Python QGIS / ArcGIS GEE SQL Streamlit Tableau
Headshot of Paola Romaguera
Paola Jayme Romaguera Spatial Analyst • Climate Risk Consultant

About

  • Geospatial analytics specialist with 5+ years delivering asset-level climate risk assessments and hazard modeling.
  • Builds scalable workflows and standardized methodologies.
  • Translates complex climate and hazard data into decision-ready insights through spatial analytics, remote sensing, and stakeholder engagement.
  • B.S. Geology — University of the Philippines (2020).

Capabilities

  • Asset-level hazard exposure metrics and spatial risk maps
  • Scenario-based comparisons (RCP/SSP pathways)
  • Remote-sensing indicators and environmental interpretation
  • Executive-ready dashboards, visuals, and risk narratives

Toolkit

  • Python: pandas, NumPy, xarray, geopandas
  • GIS: QGIS, ArcGIS · Google Earth Engine
  • Apps: Streamlit dashboards
  • Versioning: Git / GitHub

Research Works

Conference presentations and research supporting multi-hazard and geospatial analytics work.

Enhancing Vs30 Mapping using HVSR Inversion

Poster presenter at GeoCon 2023 using HVSRInv (MATLAB) to estimate Vs30 for seismic hazard and site amplification, validated against Refraction Microtremor measurements.

GeoCon 2023 HVSR inversion Elitist Genetic Algorithm

Living with Water: Lost or Forgotten Rivers in Manila and London

Curated 54 cultural and historical records documenting “lost rivers” shaped by urban growth to surface links between buried waterways, flood memory, and community-led regeneration.

EGU General Assembly 2023 Urban hydrology Flood resilience

A Multi-Hazard Interactions Framework for the Philippines

Geospatial framework analyzing interactions between multiple hazards, including cascading and compounding effects, supporting disaster risk assessment and resilience planning.

AGU Fall Meeting 2020 Multihazards Disaster Resilience

Volcanic Features within the Benham Plateau

Remote sensing and geospatial analysis to characterize volcanic features within Benham Rise, supporting interpretation of submarine structures and regional geologic evolution.

University of the Philippines 2019 Undergraduate Research Remote sensing NETVOLC & MORVOLC