Multispectral images are accepted as input files and can be processed on Pix4Dcloud.
The multispectral cameras that are supported are given in the table.
| Manufacturer | Camera | Syntax (Model name_focal length) |
|---|---|---|
| AeroVironment | Quantix RGN | Quantix_2.6 |
| Airinov | multiSPEC4C | multiSPEC4C_3.0 multiSPEC4C_3.6 |
| DJI | DJI P4 multispectral | FC6360_5.7 |
| MicaSense | Altum | Altum_1.8 (Thermal band) Altum_8.0 (Multispectral bands) |
| RedEdge | RedEdge_5.5 | |
|
RedEdge-MX RedEdge-M |
RedEdge-M_5.5 | |
| Parrot | Sequoia | Sequoia_4.0 |
| Sentera | Sentera 6x | 21214-00_3.2MP 21214-01_3.2MP 21244-01_3.2MP 21244-01_3.2MP |
| Slantrange | SlantRange-3P | SlantRange-3P_12.0 |
To process agriculture projects on Pix4Dcloud:
1. Create a project. To do so, there are two alternatives:
1.1 Import the images creating a new dataset on Pix4Dcloud. For discrete band imagery, apply the AG multispectral template. For MicaSense and Sequoia cameras, the AG multispectral template is applied by default. The output visible on Pix4Dcloud is the NDVI map. For more information: Processing Options Default Templates.
1.2 Upload the project already created in Pix4Dmapper to Pix4Dcloud. Custom processing options can be defined before uploading the project to Pix4Dcloud. More information on custom processing options in How to customize the options for processing on Pix4Dcloud.
2. Visualize the outputs on Pix4Dcloud. The output generated from multispectral images available for visualization on Pix4Dcloud is the NDVI map. If other outputs (e.g. reflectance maps for discrete band imagery) were selected for their generation as described at step 1.2, download the results folder in order to visualize the files in Pix4Dmapper or other third-party software. For more information: How to download the results from Pix4Dcloud.
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