Drone Mapping Training Course for Coastal Management and Seagrass Conservation
Maintained by Bo Yang and Henri Brillon
This open-access course introduces the complete drone mapping workflow for coastal management, habitat monitoring, and applied geospatial research. Participants learn how to plan safe missions, collect field imagery, document ground control, process imagery into mapping products, and analyze the resulting data in a geographic information system (GIS).
The course emphasizes practical field workflows used by GeoFly Lab and collaborators in coastal, ecological, wildfire, and community resilience projects. Drones, also called uncrewed aircraft systems (UAS), are useful because they provide high spatial resolution, flexible timing, and repeatable data collection across sites. These advantages make drone mapping especially valuable for coastal seagrass monitoring, fire behavior and post-burn assessment, defensible space evaluation, and other environmental applications.
The training is organized into five instructional modules and a self-study section for FAA Part 107 preparation. Regulatory information changes over time, so participants should always confirm current requirements with the FAA before flying.
Course Objectives

The modules are designed to support both classroom instruction and field-based training. Research and professional drone operations in the United States generally require compliance with FAA Part 107 unless a different legal operating framework applies.
Before operating a drone, participants should understand the aircraft, controller, batteries, sensors, software, and calibration procedures. This module uses the DJI Phantom 4 Pro as the primary example, but the same field-readiness principles apply to other mapping platforms. Flight planning and autonomous mapping are covered in later modules.
(1/5) DJI Phantom 4 Unboxing & Assembly
(2/5) DJI Phantom 4 Software Setup
Official DJI Calibration Tutorial
In the United States, drone registration is handled through FAA DroneZone. The FAA states that all drones must be registered unless they weigh 0.55 pounds or less (less than 250 grams) and are flown only under the Exception for Limited Recreational Operations. Research, teaching, and professional mapping activities should normally be registered and operated under Part 107 unless another authorized framework applies.
Regulatory note, verified May 2026: FAA rules and platforms change. The FAA currently lists Part 107 registration as $5 per drone, valid for three years. Drones that are required to be registered, or that are registered, must comply with Remote ID unless they are operating within an approved exception such as a FAA-Recognized Identification Area (FRIA). Always confirm registration, Remote ID, airspace, and operating requirements on official FAA pages before flight.
Suggested registration workflow:

Module Materials:
operations manual and safety guidelines
After reviewing drone basics, we recommend a 1.5-hour manual flight session before any autonomous mapping mission. Participants should practice takeoff, landing, aircraft orientation, altitude control, camera operation, emergency stop procedures, and return-to-home behavior in an open and low-risk environment.
Every mission has site-specific hazards, so careful planning is essential. Before launch, the remote pilot in command (PIC) should brief the team on the mission objective, airspace status, weather, takeoff and landing area, emergency procedures, communication plan, and individual roles.
As a helpful starting point, this safety checklist includes some elements common to all drone missions. Please remember that this is only a starting point, and that each mission must be planned for individually to account for all hazards.
Drone calibration is sometimes required to ensure correct compass operation. Follow the on-screen instructions in the DJI Go 4 app and watch the video below for more information on drone calibration.
(3/5) Drone Calibration & Software Setup
Below is a non-exhaustive summary of Part 107 operating rules. Always confirm current requirements on the FAA website and in applicable local site policies before flight.
For quick airspace awareness, the FAA now lists multiple approved B4UFLY desktop and mobile providers. B4UFLY provides situational awareness, but it does not replace the remote PIC’s responsibility to verify airspace, authorization requirements, TFRs, weather, and site permissions.
Note: Regulations differ by country. In Canada, Transport Canada rules apply to remotely piloted aircraft systems; FAA certification is not a substitute for Canadian authorization.
For more FAA regulation, please read FAA remote pilot study guide
Module Materials:
Autonomous mapping improves field efficiency and repeatability by flying a planned route and collecting images with consistent overlap. In this module, participants learn how to design mapping missions that balance spatial resolution, coverage, battery limitations, wind, sun angle, site geometry, and safety.

(4/5) Create drone mapping task using DJI GS Pro
Participants learn how to create a flight area and adjust mapping parameters. Key planning decisions include:


After reviewing the mapping parameters, watch the video on unlocking flight zones and using GS Pro for autonomous mapping.
(5/5) Unlocking No-Fly Zones and Using DJI GS Pro for Autonomous Mapping
Module Materials:
CSGIS_Preflight_Planning_Document
This section covers image quality control, photogrammetric processing, georeferencing, orthomosaic generation, surface model creation, and GIS analysis. Before processing, inspect all images and remove data that are blurry, overexposed, strongly oblique when a nadir mission was intended, or otherwise unsuitable for mapping. Quality control at this stage reduces error in the final products.

Photogrammetry software uses structure-from-motion and multi-view stereo methods to identify matching features across overlapping images, estimate camera positions, generate a point cloud, and produce georeferenced mapping products. Typical outputs include orthomosaics, digital surface models (DSMs), digital terrain models (DTMs), 3D meshes, and point clouds.
This course uses Esri’s Drone2Map as the primary teaching platform. Other commonly used photogrammetry tools include Pix4Dmapper, Agisoft Metashape, OpenDroneMap/WebODM, and related cloud or desktop reality mapping platforms. Software choice should depend on project scale, licensing, processing resources, accuracy requirements, and integration with GIS workflows.
Note: Sample data are provided in the course folder. Participants should use licensed software available through their institution or approved project resources.
Geo-referencing
Coastal, wetland, and forest mapping can be difficult because water, vegetation, sand, and other homogeneous surfaces may provide fewer stable image-matching features. Ground control points (GCPs) and independent check points help improve and evaluate positional accuracy.
For land-based GCPs, use clearly visible targets such as survey panels, bright buckets, or traffic cones. For water or intertidal mapping, light-colored anchored buoys can be used when they are safe and visible in the imagery. A typical site should include well-distributed GCPs around the edges and interior of the mapping area, plus independent check points when possible.
When collecting GCPs, allow the GNSS receiver to stabilize, document the coordinate reference system, record metadata, and collect repeated measurements when appropriate. Accuracy will depend on equipment, correction method, satellite geometry, multipath, canopy, terrain, weather, and field procedures. RTK or PPK workflows can substantially improve positional accuracy when configured correctly.
Note: ArcGIS and Drone2Map software are available from Esri, subject to institutional licensing.
Drone mapping can also generate elevation products such as DTMs and DSMs. These products support topographic analysis, vegetation structure assessment, erosion monitoring, 3D visualization, and change detection. The video below demonstrates a high-resolution orthomosaic combined with elevation data for 3D visualization.
Video: UAV/drone high-resolution 3D fly-through video for Bodega Marine Laboratory (BML)
Module Materials:
Processing the drone imagery to mapping products
Data analysis in Geographical Information Science (GIS)
To fly under the FAA’s Small UAS Rule (Part 107), a first-time remote pilot must meet FAA eligibility requirements and pass the Unmanned Aircraft General - Small (UAG) aeronautical knowledge test at an FAA-approved knowledge testing center. The FAA lists the basic eligibility requirements as being at least 16 years old, able to read, speak, write, and understand English, physically and mentally able to fly safely, and able to pass the initial aeronautical knowledge exam.
The UAG test includes topics such as airspace classification, operating requirements, flight restrictions, aviation weather, aircraft loading and performance, emergency procedures, crew resource management, radio communication, airport operations, night operations, maintenance, and preflight inspection. FAA remote pilot certificate holders must complete online recurrent training every 24 calendar months to maintain aeronautical knowledge recency.
Part 107 preparation requires focused study. We recommend reviewing the FAA Remote Pilot Study Guide, completing practice questions, reading sectional charts, and working through scenario-based flight planning exercises before scheduling the test.
Module Materials:
Self-study for FAA part 107 exam
The self-study document reviews course content and additional topics for the knowledge test, including airspace concepts, weather sources, radio communication, sectional charts, loading and performance, and sample questions.