Precision Farming – Harvesting more bushels per acre while spending less on fertilizer using precision farming and software.
Disease Control – Combating the spread of pests through by identifying critical intervention areas and efficient targeting control interventions.
Real-time Crop Yields – Shifting to real-time crop monitoring and targeted, automated responses with drones and precision watering sensors.
Current Food Security – Safeguarding food insecure populations by establishing underlying causes through satellite, mobile-collected and GIS data storage.
Agri-tourism – Navigating through crop mazes with GPS receivers in the developing field of agritourism.
Future Food Demand – Diagnosing the future food demand and planning how to fulfil the needs of a growing and increasingly affluent population.
Crop Assimilation Model – Simulating soil, water and crop processes to better understand crop productivity and monitoring using the Crop Assimilation Model tool in GRASS GIS.)
Agricultural Pollution – Quantifying the impacts on climate and the environment from agricultural pollution.
Irrigation – Capturing irrigation infrastructure for land management decisions more than two-thirds of the world’s freshwater withdrawals are for irrigating crops.
Drought – Minimizing the impact of drought by analyzing the spatial distribution of rainfall and real-time sensors like SMAP, SMOS and synthetic aperture radar.
Crop Forecasting – Predicting crop yields using NDVI, weather, soil moisture, soil types and other parameters.
Organic Farming – Managing various sources of data for organic farming permits including tillage history, field inputs, crop rotations, and pest management measures on a field-by-field basis.
• Lost Cities – Revealing lost cities in the ground and their forgotten past using ground penetrating radar and infrared sensors.
• Archaeological Survey – Tackling a huge problem archaeologists face every day – collecting physical locations of their excavation findings from a wealth of sites.
• Preliminary Site Investigation – Searching ancient maps for buildings, cemeteries, roads and fences as these sites present important clues to archaeological sites.
• Archaeological Site Prediction – Connecting favorable slope, aspect, geology, hydrology and distance to water using the Multiple Criteria Evaluation (MCE) to predict archaeological sites.
• Heritage Preservation – Coordinating field work and obtaining risk to identify hazards towards paleontology heritage.
• Search and Rescue – Lunging into search and rescue operations using the Safety and Operability Index which calculates risk based on factors such as sea ice, visibility, temperature, distance from SAR resources.
• Environmental Risk – Assessing the environmental vulnerability of marine resources with respect to oil spill as external stressor.
• Polar Ice Melt – Monitoring the polar ice melt using satellites like GOCE and GRACE that measures how much mass is on Earth.
Fish Habitat Conservation Areas – Fine-tuning fish habitat conservation areas by knowing the big picture of fish distribution.
• Overfishing – Maintaining sustainable fish population levels with satellite monitoring of sea surface temperature and ocean colors (because they are indicative of specific fish species).
• SCIMAP – Identifying locations of diffuse pollution risk for polluted water and aquatic habitat using SCIMAP.
• Market Share – Examining branch locations, competitor locations and demographic characteristics to identify areas worthy of expansion or determine market share in Maptitude.
• ATM Machine – Filling in market and service gaps by understanding where customers, facilities, and competitors are with address locating, database management and query tools.
• Supply and Demand – Identifying under-served areas and analyzing your competitor’s market.
• Mobile Banking – Capturing locations where existing mobile transaction occur and assisting in mobile security infrastructure.
• Fleet Management – Staying in route and solving scheduling problems with fleet management.
• Direct Marketing – Revitalizing selling strategies by reaching out to customers directly with locational intelligence.
• Nearest Location – Resolving the nearest gas station, restaurants or coffee shop using GPS-based positioning and geocoded business data.
• Branding – Increasing credibility and increasing sales with prospective clients, vendors and media by conveying complex data to increase sales. Supply Chain – Finding which supply chains are vulnerable to better plan for interruptions.
• Integrated Freight Network Model – Integrating highly detailed information about shipping costs, transfer costs, traffic volumes and network interconnectivity properties in a GIS-based platform.
• Store Openings – Historicizing a company’s store openings.
Data Analytics – Analyzing location-based information to reveal relationship between individuals, families, and communities, and the environment in which they live.
• Retail Store Movement – Detailing how customers move through retail stores, what they bought, rejected and looked at.
• Store Placement – Guiding the placement of new stores by studying disposable income, population, or other variables to best serve the population.
• Earth Interactions – Modelling vegetation, atmospheric, rainfall and ecosystems to study their interactions simultaneously.
• Desertification – Understanding the underlying causes of desertification such as inappropriate agriculture practices, deforestation and drought.
• Pollution Modelling – Mapping air pollution sources and impacts on environment and people.
• Vegetation Indices – Using remote sensing vegetation indices like NDVI, CTVI, NRVI and PVI to monitor vegetation change throughout time.