After you upload your imagery to DroneDeploy, our powerful processing software stitches individual photos together to create geo-referenced mosaics and 3D models.
Each interactive three-dimensional map includes several layers that you can explore. Below is an explanation each of the layers of your DroneDeploy map:
Layers vary by plan
For more information on what data layers are available with each DroneDeploy plan, please see here.
Below is a brief overview video showing how to explore different map layers and use tools like annotations and measurements.
You can think of the 2D orthomosaic map as a birds-eye view of your area of interest.
2D map example, with annotations tools emphasized.
Making the most of your map
Analyzing your Plant Health Data
The plant health map makes it easy to detect crop damage and other areas of poor plant health. Learn more about Plant Health.
The plant health layer of your map is a two-dimensional view colored according to the relative health of plant matter in your map. The healthiest plants appear in green, and the areas of the least plant growth show in red. The plant health layer uses algorithms to assess the plant health in areas of your map based upon the bands of light reflected by the surface and captured by your camera.
Learn more about the map above and how it was used in our blog post "Agriculture Drones Bring Big Value to Potato Growers."
NDVI on non-Near Infrared imagery
Plant Health, DroneDeploy's NDVI layer, is automatically generated on all Pro, Business, and Enterprise accounts. This includes free trials of the Pro plan. If you use a regular visible-spectrum (RGB) camera, the plant health layer will use the VARI algorithm by default, an algorithm intended for use with regular cameras. If you use a camera that captures near-infrared imagery, we recommend that you use the Normalized Difference Vegetation Index (NDVI), a respected index for assessing vegetation health. For more information, please see our explanation of NDVI Cameras for Drones.
The elevation layer represents the elevation information contained in your map in a two-dimensional view. Areas in red are high, and areas in blue are low. Learn more about elevation data and how to use it here.
3D models give you a different perspective on your area of interest and are a great visualization tool.
Image Capture for 3D models
Incorporating imagery from different angles is crucial for producing good quality 3D models. See our 3D modeling guide here.