Services

 Large-scale spatial data allows us to chart spatio-temporal patterns mapping the past, assessing the present, and forecasting the future. Our advanced Data Analytics practice extracts actionable intelligence from complex datasets, translating millions of environmental and demographic data points into a clear, compelling story. Through interactive visual platforms and predictive modeling, we equip decision-makers with the precise insights needed to anticipate climate trends, assess localized health vulnerabilities, and deploy critical resources exactly where they are needed most. 

Our Specialization includes: 

•  Spatial Storytelling: Visualizing complex narratives via ArcGIS Pro, Power BI & Tableau.
• Custom Visual Analytics: Building interactive mapping applications using R, Python, Django and more.
• Cloud Geocomputation: Processing planetary-scale earth observation data.
• Health Intelligence: Mapping public health and socioeconomic vulnerabilities against environmental risks.

Jolexy Environmental Services specializes in synthesizing complex environmental data and socioeconomic microdata to construct rigorous, decision-relevant climate risk assessments. We bridge the gap between high-level climate science and actionable public policy, providing the definitive evidence base required to design effective adaptation and mitigation strategies. 

A credible adaptation strategy requires a precise, localized understanding of human vulnerability. By applying tailored and leading international risk frameworks including the globally deployed INFORM Risk Index and the CCRI-DRM (Children's Climate Risk Index - Disaster Risk Model), we explicitly map subnational exposure to compounding climate hazards. We integrate these proven methodologies with historical baselines, community adaptive capacities, and future climate projections (such as CMIP6) in strict alignment with IPCC guidelines. 

This deep multisectoral synthesis allows governments, multilateral organizations, and NGOs to move beyond generalized climate warnings. It empowers decision-makers to equitably prioritize interventions, target climate finance, and operationalize resilience programming exactly where it will yield the highest impact

Our policy and programming expertise includes:

• Subnational Risk & Vulnerability Modeling (INFORM/CCRI-DRM frameworks and others)
• Climate & Health Hazard, Risk, and Vulnerability Assessments (HRVA)
• Disaster Risk Reduction (DRR) & Risk-Informed Programming (humanitarian-development integration)
•  Anticipatory Action, Early Warning Systems (EWS) & Emergency Preparedness 
• Evidence-Based Adaptation & Mitigation Strategy
• IPCC-Aligned Hazard Profiling & Exposure Targeting
• Multisectoral Equity Analysis & Indexing
• Translation of High-Uncertainty Climate Projections for Policymakers
• Stakeholder Consultation & Community-Level Adaptive Capacity Validation

 At Jolexy Environmental Services, our methodologies are strictly driven by active research and development (R & D). We bridge the gap between academic rigor and practical spatial intelligence, ensuring our solutions are grounded in validated scientific evidence. Through strategic partnerships, we continuously advance applied earth observation and spatial modeling across key domains: Agricultural & Forestry Spatial Research, Climate & Environmental Modeling, Health Intelligence & Spatial Epidemiology, and Scientific Technical Reporting. Explore our selected collaborative publications below, which highlight our commitment to driving evidence-based environmental solutions. 

Selected Publications

Onojeghuo, A., Rasul, A. and Onojeghuo, A., (2025). Air pollution exposure and hotspots of CO, NO2, SO2, PM2. 5, and aerosols in Iraq. Environmental Monitoring and Assessment, 197(11), pp.1-18. https://doi.org/10.1007/s10661-025-14571-9

 Onojeghuo, A., Fleming, Z.L., Panagi, M. et al. Investigating the dispersion and transport of carbon monoxide in West Africa with a focus on biomass burning and gas flaring sources. Discov Atmos 3, 14 (2025). https://doi.org/10.1007/s44292-025-00038-6 

Ndehedehe, C.E., Onojeghuo, A.O., Ben Stewart-Koster, Stuart E. Bunn, Vagner G. Ferreira, (2021). Upstream flows drive the productivity of floodplain ecosystems in tropical Queensland. Ecological Indicators, p. 107546. https://doi.org/10.1016/j.ecolind.2021.107546

Ndehedehe, C.E., Ferreira, V.G., Agutu, N.O., Onojeghuo, A.O., Okwuashi, O., Kassahun, H.T. and Dewan, A., (2021). What if the rains do not come? Journal of Hydrology, p.126040. https://doi.org/10.1016/j.jhydrol.2021.126040

Ndehedehe, C.E., Ferreira, V.G., Onojeghuo, A.O., Agutu, N.O., Emengini, E. and Getirana, A., (2020). Influence of global climate on freshwater changes in Africa's largest endorheic basin using multi-scaled indicators. Science of The Total Environment, 737, p.139643. https://doi.org/10.1016/j.scitotenv.2020.139643

Rasul, A., Ibrahim, S.A., Onojeghuo, A.R. and Balzter, H., (2020). A trend analysis of leaf area index and land surface temperature and their relationship from global to local scale. Land, 9(10), p.388. https://doi.org/10.3390/land9100388

Rasul, Azad and Ibrahim, Sa'ad and Onojeghuo, Ajoke R. and Balzter, Heiko, Modelling Leaf Area Index and Land Surface Temperature to Assess Their Changing Trends and Relationships From Global to Regional Scales (July 30, 2020). Available at SSRN: https://ssrn.com/abstract=3663992 or http://dx.doi.org/10.2139/ssrn.3663992

 Onojeghuo A.R., Nykiforuk C.I.J., Belon A.P., Hewes J. Behavioral mapping of children's physical activities and social behaviors in an indoor preschool facility: methodological challenges in revealing the influence of space in play. Int J Health Geogr. 2019 Nov 20;18(1):26.  https://doi.org/10.1186/s12942-019-0191-y 

Onojeghuo, A.O., Blackburn, G.A., Wang, Q., Atkinson, P.M., Kindred, D. and Miao, Y. (2018). Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data. International Journal of Remote Sensing, 39 (4), pp.1042-1067. http://doi.org/10.1080/01431161.2017.1395969

Onojeghuo, A.O and Onojeghuo, A.R. (2017). Object-based habitat mapping using very high spatial resolution multispectral and hyperspectral imagery with LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 59, pp. 79–91. https://doi.org/10.1016/j.jag.2017.03.007

Onojeghuo, A.O. and Onojeghuo, A.R. (2015). Mapping forest transition trends in Okomu reserve using Landsat and UK DMC-2 satellite data. South African Journal of Geomatics, 4(4), pp. 21-32. http://dx.doi.org/10.4314/sajg.v4i4.9

Onojeghuo, A.O. and Onojeghuo, A.R. (2015). Protected Area Monitoring in the Niger Delta using Multi-Temporal Remote Sensing. Environment, 2 (4), pp. 500-520, http://doi.org/10.3390/environments2040500