Example use cases - PIX4Dfields

Get started with real data

 Utilizing real data showcases the capabilities of PIX4Dfields software and provides valuable insights into the requirements for effectively collecting your data.

My first vegetation index map - Winter wheat

In this example use case, we describe the step-by-step process of using drone images to obtain maps. These maps are so-called orthomosaics, which can be created from RGB or multispectral images. 
The goal of this project is to obtain a Normalized Difference Vegetation Index (NDVI) index map of a field using the DJI Phantom 4 multispectral camera that captures Green, Red, Blue, Red edge, and NIR wavelengths. 
The NDVI scale ranges from -1 to +1. This scale is designed to represent different types of land cover and vegetation health or density. 
In the example below, Greener areas indicate dense green leaves typically associated with healthy, vigorous vegetation. Red areas indicate barren areas of less vigorous crops, or minimal vegetation. 

Dataset size	5 GB
Average Ground Sampling Distance (GSD)	6.2 cm / 2.44 in.
Area covered	46.5 ha / 114 acres.
Image acquisition plan	1 flight, grid flight plan.
Drone and camera	DJI Phantom 4 Multispectral, Multispectral camera
Reflectance panel/target	Micasense
To access the tutorial and the images, please visit:  My first vegetation index map - PIX4Dfields

Variable rate nitrogen fertilization in wheat

The goal of this project is to obtain an NDVI index map of a field using the Sequoia camera that captures Green, Red, Red edge and NIR wavelengths.

Dataset size	4 GB
Average Ground Sampling Distance (GSD)	10.0 cm / 3.94 in
Area covered	44.9 ha  / 110.95 acres
Image acquisition plan	1 flight, grid flight plan.
Drone and camera	Parrot sequoia, Multispectral camera
Reflectance panel/target	Not present
Download example images

The downloaded folder contains the following files and folders:

• Images: Red, Green, Red edge and NIR images in TIFF format.
• Boundary: project file that can be opened in PIX4Dfields.
• To begin processing the dataset, follow the guide My first vegetation index.

RGB dataset of wheat 

The goal of this project is to obtain a VARI index map of a field using the S.O.D.A camera that captures Red, Green, Blue wavelengths.

Dataset size	3 GB
Average Ground Sampling Distance (GSD)	2.80 cm / 1.10 in
Area covered	44.9 ha  / 110.95 acres
Image acquisition plan	1 flight, grid flight plan.
Drone and camera	Parrot sequoia, RGB camera
Reflectance panel/target	Not relevant
Download example images

Weeds on fallow detection (Green on Brown)

In this example use case, we describe how to detect fallow weeds, also known as green-on-brown detection. A simple RGB camera was used instead of a multispectral camera. This means that most consumer drones can selectively detect and allow spraying weeds while saving up to 90% on herbicides.

Dataset size	3.5GB
Average Ground Sampling Distance (GSD)	1 cm / 0.39 in
Area covered	6.54 ha / 21.25 acres
Image acquisition plan	1 flight at 50mts, grid flight plan.
Drone and camera	DJI Mavic 3 Multispectral, RGB camera.
To access the tutorial and the images, please visit: Weeds on fallow detection (Green on Brown) - PIX4Dfields

Crop weeds detection (Green on Green) 

PIX4Dfields supports green-on-green detection through high-resolution imagery and the Magic Tool. Follow this article to detect weeds efficiently within crop and pasture fields, saving up to 90% on herbicide applications. 

Orthomosaic size	2.66 GB
Average Ground Sampling Distance (GSD)	0.5 cm / 0.19 in.
Area covered	1.75 ha / 4.37 acres.
Image acquisition plan	1 flight, grid flight plan.
Drone and camera	DJI Mavic 3 Multispectral, RGB camera
Reflectance panel/target	Not applicable
To access the tutorial and files, please visit Crop weeds detection (Green on Green) - PIX4Dfields

Measuring lodging (wind damage) in a wheat field

The goal of this project is to detect lodging in a winter wheat field with the help of the Magic Tool. Detecting and quantifying the extent of crop damage is essential for filing insurance claims.

Orthomosaic size	1.66 GB
Average Ground Sampling Distance (GSD)	3.53 cm / 1.39 in
Area covered	13 ha / 32 acres
Image acquisition plan	1 flight, grid flight plan.
Drone and camera	RGB camera
Reflectance panel/target	Not applicable
Download example Orthomosaic