High-Resolution Drone Mapping at Lazy Point, East Hampton

Written By Anna Soccorsi

This project documents a precise drone mapping dataset collected along the dynamic Lazy Point coastline in East Hampton, New York. The objective was to capture detailed spatial data and evaluate the consistency of results across multiple survey dates using a repeatable workflow.

Project Overview

Two datasets were collected over the same general area (0.4–0.5 square kilometers) using consistent flight parameters:

  • Flight altitude: 170-175 feet (52–54 meters)

  • Ground sampling distance: ~1.4–1.5 cm per pixel

  • Image count: ~2,700 per mission

Each dataset was processed to generate an orthomosaic, digital elevation model (DEM), and supporting imagery outputs. Data was collected from a publicly accessible location and processed using a standardized photogrammetry workflow.

Accuracy and Consistency

Both datasets achieved approximately 3 cm horizontal accuracy, supported by RTK-enabled positioning and strong image overlap.

The datasets were collected at different times, including one during peak low tide, and produced consistent results under comparable processing conditions.

Survey-Grade Outputs

At approximately 1.5 cm per pixel, the datasets capture fine-scale coastal features, including:

  • Shoreline position and tidal boundaries

  • Dune structure and surface variation

  • Vegetation patterns across the site

This level of detail supports both visual interpretation and spatial analysis.

Visual Context and Site Interpretation

In addition to mapping outputs, aerial imagery provides context for interpreting coastal conditions. By pairing technical datasets with visual storytelling, the results become more accessible and actionable for a wide range of stakeholders.

Key Takeaways

  • Consistent results were achieved across multiple datasets using the same workflow

  • High-resolution data (~1.5 cm per pixel) captures detailed coastal features

  • Data quality remained stable under varying environmental conditions, including low tide

  • Combining mapping outputs with aerial imagery supports clearer interpretation

Applications

Datasets of this type can support:

  • Coastal and shoreline monitoring

  • Elevation and terrain analysis

  • Repeat data collection for change detection

  • General site documentation and visualization

Final Note

This project demonstrates that with the right conditions and workflow, drone mapping can deliver consistent, high-quality results in complex coastal environments.

Pairing mapping outputs with narrative aerial imagery adds an additional layer of value—providing visual context that supports interpretation, communication, and a more complete understanding of site conditions.

For coastal monitoring and environmental mapping inquiries, feel free to get in touch.

Data products are intended for mapping, analysis, and visualization purposes and are not a substitute for licensed land surveying services.

Anna Soccorsi