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Predicting flood prone zonesMapping flood risk zones
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AI in Climate Action
CEEW’s repository of idea mapping on where AI can be deployed to achieve climate resilience and sustainability goals.
Adaptation
Title
Team
Sub-Category
Input Parameters
Search
Floods Risk Analysis (Riverine/Flash)
Team
Climate ResilienceObjective
- helps in urban planning, evacuation planning in flood prone zones, and predictive measures to mitigate flood in future risk zones
Sub-Category
Extreme Events Likelihood
Input Parameters
Satellite Imagery
Historical flood data
IoT data
Case Study, References, Examples
Landslides Susceptibility
Team
Climate ResilienceObjective
mapping high risk zones for early warning systems, insurance risk zoning.Sub-Category
Extreme Events Likelihood
Input Parameters
Geological data
hydrological data (rainfall)
hydrological data (drainage)
topographic (slope)
topographic (elevation)
vegetation
seismic
Case Study, References, Examples
Forest Fires Prediction
Team
Climate ResilienceObjective
detect and predict wildfires for timely deployment of firefighting resources, minimizing the destruction caused by these firesSub-Category
Extreme Events Likelihood
Input Parameters
Temperature
Humidity
Wind Speed
Case Study, References, Examples
Urban Flood Hotspot and Risks
Team
Climate ResilienceObjective
flood hotspot classification and risk zone classification for better urban planning and disaster risk reduction with fast emergency responseSub-Category
Extreme Events Likelihood
Input Parameters
Rain intensity
topographic (elevation)
Past Flood Data
GIS Data
Case Study, References, Examples
Riverine Floods
Team
Climate ResilienceObjective
Prediction of Hotspots and Flood events for timely alerts and proactive measures to reduce damageSub-Category
Early Warning Systems
Input Parameters
hydrological data (rainfall)
Water Levels
Weather Patterns
Topography
Case Study, References, Examples
Wildfire Detection and Intimation
Team
Climate ResilienceObjective
Prediction of wildfires for timely deployement of firefighting resources minimizing destructionSub-Category
Early Warning Systems
Input Parameters
IoT data
Temperature
Wind Speed
Humidity
Urban Floods Management
Objective
for predicting waterlogging hotspots, flooding hotspots in urban areas, controlling sewer systems for controlled water flow for timely measures to minimize flooding and reduce damage and proper water managementInput Parameters
Satellite Imagery
Historical flood data
IoT data
Case Study, References, Examples
Vector-Borne Diseases
Objective
to predict mortality caused by vector-borne diseases for timely deployment of resources to reduce the outbreakInput Parameters
hydrological data (rainfall)
Humidity
Temperature
Mortality Data
Case Study, References, Examples
Crop Planning
Team
Sustainable Food SystemsObjective
predictions of yield/suitability to help farmers optimize planting and harvesting times.Sub-Category
Agri and Food Systems Advisory
Input Parameters
Weather Patterns
Satellite Imagery
Soil Sensors
Case Study, References, Examples
Pest Management
Team
Sustainable Food SystemsObjective
anticipate potential issues such as pest infestations, helping farmers predicting and avoiding future pest outbreak and saving cropSub-Category
Agri and Food Systems Advisory
Input Parameters
Weather Patterns
Satellite Imagery
Soil Sensors
Case Study, References, Examples
Soil Health Monitoring
Team
Sustainable Food SystemsObjective
predicting soil moisture and pH levels to help farmers to take decision on irrigation, fertilization, crop rotation etc.Sub-Category
Agri and Food Systems Advisory
Input Parameters
Remote Sensing Data
IoT data
Agriculture Data
Case Study, References, Examples
Sea Level Rise Monitoring
Team
Sustainable Food SystemsObjective
% Innundation to develop proactive coastal defense strategies and disaster preparedness measures.,
urban planning
Sub-Category
Earth Observation
Input Parameters
Satellite Imagery
Oceanographic Data
Case Study, References, Examples
Deforestation and Degradation Monitoring
Team
Sustainable Food SystemsObjective
carbon stock, identify and classify HCS, areas, which include primary forests, regenerating forests, and mixed agroforestry
landscapes
Sub-Category
Earth Observation
Input Parameters
Satellite Imagery
Case Study, References, Examples
Deforestation Risks
Team
Sustainable Food SystemsObjective
detects the emergence of unofficial roads. Get risk based notifications and enable prosecutors to identify illegal deforestation and initiate sanctionsSub-Category
Earth Observation
Input Parameters
Historical Deforestation
Topography
Socio-Economic Indicators
Case Study, References, Examples
Infrastructure Planning
Objective
detecting flood zones and rerouting traffic in times of waterlogging or floodsSub-Category
Urban Resilience Planning
Input Parameters
GIS Data
Population Density
Case Study, References, Examples
Water Management Systems
Team
Sustainable WaterObjective
Demand Predictions, Supply Optimizations and predicting/ forecasting water usage to help farmers to use water efficiently and check reservoir levelsSub-Category
Water Management Systems
Input Parameters
hydrological data (rainfall)
Water Demand
Crop Yield
Case Study, References, Examples
Biodiversity Monitoring
Team
Sustainable Food SystemsObjective
species identification and habitat mapping, biodiversity hotspots mapping to help in planning conservation effortsSub-Category
Earth Observation
Input Parameters
Satellite Imagery
Case Study, References, Examples
Marine and Ecosystem Management
Team
Sustainable WaterObjective
Detecting ships/boats indulging in illegal fishing activities, predicting future erosion events to help government to reduce illegal fishing activities and conserving marine life, enabling stakeholders to take preventing measures in advance to reduce damage and future cost.Sub-Category
Earth Observation
Input Parameters
Satellite Imagery
Meteorological Data
Case Study, References, Examples
LULC Change Prediction
Objective
projecting urban expansion to controll illegal urban expansion on the expense of natural ecosystemsSub-Category
Earth Observation
Input Parameters
Satellite Imagery
Population Density
Shapefiles
Case Study, References, Examples
Mitigation
Title
Team
Sub-Category
Input Parameters
Search
Methane Monitoring
Team
Clean Air / Sustainable Food SystemsObjective
Identifying Emission hotspots to help in taking proactive measures to mitigate emissions from hotspots and monitor themSub-Category
Emission Monitoring
Input Parameters
Satellite Imagery
Atmospheric Data
IoT data
Case Study, References, Examples
Industrial Emission
Team
Clean AirObjective
Monitoring and Predicting CO2/Methane emission from factories for taking advance measures to control excess emission, predicting total emission for a region to for better policy makingSub-Category
Emission Monitoring
Input Parameters
Satellite Imagery
Industry Data
IoT data
Case Study, References, Examples
Grid Management
Team
Power MarketsObjective
Predicting the energy demand for next 10 years, and Long Term Load Forecasting Model — to help to plan power grids and energy supply demand for future use to reduce overloading and downtime.Sub-Category
Energy Management
Input Parameters
Grid Demand Data
Population Data
Case Study, References, Examples
Smart Grid
Team
Power MarketsObjective
Real time demand prediction to improve reliability and efficiency of the grid. Predicting real time demand and supply ensures efficient energy distribution and minimizes transmission lossSub-Category
Energy Management
Input Parameters
Grid Demand Data
Population Data
Case Study, References, Examples
Grid Optimization
Team
Power MarketsObjective
Finding Efficient Distribution Routes to help minimize transmission losses in Power GridsSub-Category
Energy Management
Case Study, References, Examples
Smart Meters
Team
Power MarketsObjective
Monitoring real time energy usage and alert systems to help stakeholders monitor their electricity usage and alert users in times of blackout, overload or an short circuitSub-Category
Energy Management
Input Parameters
IoT data
Grid Demand Data
House consumption data
Case Study, References, Examples
RE Integration
Team
Power MarketsObjective
Solar and wind energy assessment for measuring the energy from renewable sources like solar and windSub-Category
Energy Management
Input Parameters
Satellite Imagery
Climate Data
Case Study, References, Examples
EV Charging Grid Management
Team
Power MarketsObjective
Load forecasting and Station Capacity. It helps in forecasting load demand for a charging station to efficiently supply the required amount from grid. Taking predictive measures to avoid grid overloading. Grid StabilitySub-Category
Energy Management
Input Parameters
Grid Demand Data
Population Data
Case Study, References, Examples
Route Optimization
Objective
dynamically adjust signals, optimizing logistic routes, optimizing routes for waste disposal. - Reducing combined carbon emission due to waiting and congestion , predicting bottlenecks. Improving food supply chain to deliver fresh products and reduce food waste due to short shelf lifeSub-Category
Transport Management
Input Parameters
GPS Data
IoT data
Traffic Camera Images
Case Study, References, Examples
EV Charger Network Optimization
Objective
Charging stations site selection for optimized and efficient network to help distribute load evenly across busy areas while Efficiently distributing grid load.Sub-Category
Transport Management
Input Parameters
Satellite Imagery
EV Consumer Data
GPS Data
Onboard Sensor Data
Case Study, References, Examples
UHI Mapping
Team
Climate ResilienceObjective
urban heat hotspot detectionSub-Category
Urban Sustainability
Input Parameters
Satellite Imagery
Temperature
Remote Sensing Data
Case Study, References, Examples
Urban Heat
Team
Climate ResilienceObjective
Predicting temperature for urban Area for urban planning and predictive measuresSub-Category
Urban Sustainability
Input Parameters
Satellite Imagery
Temperature
Case Study, References, Examples
Mangrove/Plantation Monitoring
Team
Climate ResilienceObjective
detect illegal enchrochment, deforestation, identification of areas requiring protection or restorationSub-Category
Urban Sustainability
Case Study, References, Examples
MRV - Data Collection
Team
LCEObjective
- Automatic data collection and analysisSub-Category
MRV and Carbon Markets
Input Parameters
Satellite Imagery
IoT data
Case Study, References, Examples
MRV - Emission Forecasting
Team
LCEObjective
Forecasting Emission from industrial use | policymaking and preventive measuresSub-Category
MRV and Carbon Markets
Input Parameters
Industry Data
Land-Use Cover
Satellite Imagery
Case Study, References, Examples
Carbon Credit Generation
Team
LCEObjective
Detect & quantify emissions/removals and issue carbon creditsSub-Category
MRV and Carbon Markets
Input Parameters
Industrial Emissions
Satellite Imagery
IoT data
Case Study, References, Examples
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