Geospatial Data Collection Services

Unlock the full potential of your AI models with Sapien’s geospatial data collection services, designed for precision, scalability, and real-world applicability in diverse geographic contexts

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Key Features

Comprehensive Geospatial Data Collection

High-resolution spatial geospatial data collection techniques for satellite imagery, aerial surveys, and drone footage. Our datasets are meticulously designed to meet the specific needs of AI models, ensuring geographic diversity and spatial accuracy.

Custom Geospatial Annotation

We provide precise annotations for geospatial data, including object detection, land use classification, and segmentation. Customize your datasets with high-detail georeferencing and vector overlays, improving model training for urban planning, agriculture monitoring, and disaster management.

Multi-Sensor Geospatial Integration

Through geospatial integration easily integrate geospatial data from various sources such as satellite sensors, LiDAR, and UAVs. Your models will be trained on datasets that combine multiple sensor inputs, enhancing their ability to interpret and analyze complex geographical environments.

Real-Time Geospatial Data Capture

Leverage live geospatial data streams from sensors, GPS, and remote sensing technologies. Our services support real-time applications, such as autonomous drones, environmental monitoring services, and smart city management.

Challenging Terrain and Environment Capture

Collect geospatial data in difficult-to-reach areas, including remote wilderness, mountainous regions, or urban environments with dense infrastructure. Ensure your models can process and analyze geospatial data from diverse and complex terrains using advanced geospatial data management techniques.

Custom Quality Assurance

Sapien’s combined human-in-the-loop and automated QA processes ensure that all geospatial data is accurate, consistent, and free from errors so your AI models are trained on high-quality data, minimizing the risk of inaccuracies in real-world applications.

Sapien's Geospatial Data Collection with Alibaba

In collaboration with Alibaba, Sapien collected precise 3D lane marking data for static map trials, supporting geospatial mapping and navigation projects.

This detailed geospatial data enabled the development of advanced mapping applications, providing accurate spatial information for applications in transportation, urban planning, and autonomous navigation.

Use Cases

Urban Planning and Smart Cities

Collect and integrate geospatial data for urban development, traffic management, and infrastructure monitoring. Train AI models to predict growth patterns, optimize traffic flows, and improve city planning through accurate, real-time geospatial datasets.

Agriculture and Land Use Monitoring

Capture satellite and drone imagery for precision agriculture, crop health analysis, and land use classification. Use geospatial data to monitor changes in agricultural fields, optimize resource use, and predict yield outcomes with precision.

Environmental Monitoring and Climate Change

Leverage multi-source geospatial data to track environmental changes, such as deforestation, coastline erosion, or glacier retreat. Build AI models that can analyze long-term environmental trends and provide actionable insights into climate change mitigation strategies.

Autonomous Vehicles and Navigation

Collect high-resolution geospatial data from roads, highways, and urban environments to train models for autonomous navigation and traffic management. Ensure your vehicles can interpret road conditions, obstacles, and real-time traffic data with precision and safety.

Disaster Response and Risk Management

Capture geospatial data for disaster-prone areas to train AI models for risk assessment, evacuation planning, and emergency response. Use real-time geospatial data to improve the accuracy and efficiency of disaster response efforts in natural calamities such as floods, wildfires, or earthquakes.

Telecommunications and Infrastructure

Gather geospatial data to optimize network coverage, site planning, and infrastructure maintenance. Train models to analyze terrain, map coverage areas, and predict signal strength to enhance telecommunications infrastructure.

Improve AI Model Training with High-Quality Geospatial Data

Sapien’s geospatial data collection services deliver the precise, contextually relevant data your AI models need.

From urban planning to environmental monitoring, your models are equipped with the geospatial data needed to excel in real-world applications.

Why Sapien?

Geospatial Data Expertise

Our global, decentralized team has experience in capturing, processing, and curating large-scale geospatial datasets from multiple sources, including satellite imagery, UAV data, or GPS streams.

Personalized Data Collection Plans

Our geospatial data collection services are fully customizable to your AI model - the data you receive is aligned with your project goals and the challenges of your geographic environment.

Human-in-the-Loop Quality Assurance

We use a hybrid quality control system, combining human expertise with automated verification processes to ensure that your geospatial datasets are accurate, well-annotated, and free from inconsistencies or errors.

Scalable Global Workforce

Our decentralized global network of data collectors and domain experts can scale to meet the needs of any project. Whether you're collecting data for a local urban planning initiative or a global environmental monitoring system, Sapien delivers on time and with precision.

Custom Collection Tools

Sapien develops custom data collection tools for acquiring geospatial data from multiple sources, allowing for seamless integration of satellite, drone, and ground-level data into a unified dataset for your AI models.

Collect Geospatial Data for AI Models

Schedule a consult with our team to learn how Sapien’s geospatial data collection services can power your AI models with a custom data pipeline

Schedule a Consult
Schedule a Consult