AI-powered geospatial intelligence emerging as game changer for climate, water resilience

ISLAMABAD, (APP - UrduPoint / Pakistan Point News - 27th Jul, 2026) Pakistan's increasing exposure to devastating floods, prolonged heatwaves, droughts, deteriorating air quality and mounting water stress has underscored the urgent need for smarter tools and accurate, location-specific data to strengthen disaster preparedness, water-resource management and climate adaptation.

Experts say artificial intelligence (AI), combined with geospatial technologies, could bridge this gap by analysing vast volumes of weather, hydrological and satellite data to generate early warnings, hazard assessments and climate intelligence for governments, businesses and communities.

By integrating predictive analytics with geospatial intelligence, AI could identify vulnerable areas, forecast the impacts of extreme weather events, monitor water resources and support evidence-based planning. Such technologies enable authorities, emergency responders, water managers, farmers and businesses to take timely preventive measures, minimise losses and build resilience against climate change.

Chief Executive Officer (CEO) AI Geonavigators, Asim Javid, said AI-driven geospatial intelligence has the potential to transform and manage climate risks and water resources by converting complex environmental data into actionable insights, he told APP.

"Climate-related disasters are becoming more frequent and severe, making timely and location-specific intelligence essential for protecting lives, water resources, infrastructure and livelihoods," he said.

Javid said AI-powered geospatial systems could significantly strengthen early warning mechanisms, disaster preparedness, agricultural planning, water-resource management and climate adaptation while supporting informed decision-making across multiple sectors.

Keeping this objective in view, he said, the company had developed an indigenous AI-powered geospatial intelligence platform integrating meteorological, hydrological and geospatial datasets into a centralised intelligence system for climate-risk assessment and operational planning.

The platform currently operated through a network of 104 weather stations across Pakistan, delivering real-time information on temperature, humidity, rainfall, wind speed, ultraviolet (UV) index, air quality, elevation and other meteorological parameters.

"It enables users to monitor weather conditions, heat stress, rainfall, air quality and water resources at provincial, district and location-specific levels," he said.

Javid said the platform combined Digital Elevation Models (DEMs), the Normalised Difference Vegetation Index (NDVI), the Normalised Difference Moisture Index (NDMI), land surface temperature and open-water monitoring to provide a comprehensive picture of environmental conditions.

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It also maps floods, heatwaves, droughts, strong winds and air pollution at varying intensity levels while providing 48-hour weather trends, AI-assisted forecasts and risk alerts.

He said the platform integrated global forecasting models, including the Global Forecast System (GFS) and the European Centre for Medium-Range Weather Forecasts (ECMWF), while AI algorithms determine which model performs best across Pakistan's diverse terrain. It also analyses historical climate patterns and generates flood return-period assessments to strengthen disaster preparedness and long-term water-resource planning.

Highlighting its agricultural applications, Javid said the platform offers crop monitoring, vegetation health assessment, early disease detection and yield estimation, while AI-based irrigation advisory services were under development to improve water-use efficiency and promote climate-smart farming.

He said dedicated modules had also been developed for banks, insurance companies and the telecommunications sector to assess climate-related risks affecting infrastructure, assets and business operations.

On flood forecasting, Javid said although limited upstream hydrological data from India remained a challenge, AI-based modelling using historical flood records, rainfall, land cover and vegetation could substantially improve flood-risk assessment within Pakistan.

"We are developing predictive AI models for flash floods and urban flooding by integrating hydrological models with machine learning," he said.

Javid said the company had also introduced an AI-supported rainwater harvesting application to estimate suitable storage tank capacity based on rainfall patterns, rooftop area and local climatic conditions, promoting efficient water conservation and supporting sustainable urban water management.

Highlighting the platform's broader potential, he said AI-powered geospatial intelligence could help disaster management authorities improve emergency response, strengthen real-time monitoring of water resources, support integrated watershed management, assist policymakers in climate adaptation planning, enhance agricultural productivity and enable businesses to better manage climate-related risks, ultimately contributing to a more climate-resilient and water-secure Pakistan.

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