Parrot Sequoia+ is the first multispectral camera to provide absolute reflectance measurements without reflectance targets.
Thanks to Pix4D’s radiometric processing pipeline, Parrot Sequoia+ allows for a more consistent evaluation of collected data and improves the user experience by removing the need for a reflectance target.
The full radiometric calibration is automatic when processing the data using Pix4D software (Pix4Dfields and Pix4Dmapper). Read more about ithere
Full dataset available to download on our support page here. The goal of this project is to get an othomosaic of a field using Sequoia’s RGB sensor.
Full dataset available to download on our support page here. The goal of this project is to get an NDVI index map of a field using the Sequoia camera that captures Green, Red, Red edge and NIR wavelengths.
At 120m (400ft) Sequoia has a Ground Sampling Distance (GSD) of 11cm/pxl. In order to calculate the GSD at other flight altitudes please see our GSD calculator.
4 x monochrome sensors (global shutter)
RGB sensor (rolling shutter)
Sequoia fits on a standard GoPro mount, use the default GoPro frame and clamp to about 1/3rd of the sensor in order to be able to attach the cables.
Provide 5V 2.4A power, or more, to the sensor, either via a compatible battery pack or from the drone’s battery through a 5V to 2.4A regulator.
Stick the irradiance sensor on top of the drone. The camera must be solidly connected to a structure with known geometry in order to leverage the information provided by the irradiance sensor and its IMU.
For eBee integration: senseFly has already developed an integration kit. Contact senseFly for more information on the product availability.
For 3DR Solo and DJI Phantom integration: Micasense is currently working on integration kits, contact them for more information on product availability.
More information about integrations with other drone manufacturers will be posted. Here an example of a 3D printable integration kit from one of our partners.
Sequoia hosts a Wi-Fi interface that can be connected to using any Wi-Fi capable device. Specify an image-triggering method for Sequoia by accessing a specific web URL (192.168.47.1) on any browser once your are connected to Sequoia’s Wi-Fi. Sequoia is also accessible through PTP/PTP-IP protocol via USB. This protocol enables access to many camera functions, including capture and trigger for automatic control with a flight planning software. Advance PTP protocol documentation.
Pix4Dcapture will support Sequoia’s automatic triggering and is finalizing mobile app integration.
There are three image capture modes:
Parrot has launched a crowdsourced project on DroneCode for the integration of Sequoia with PixHawk. For more information on the project click here.
Yes, the irradiance sensor is designed to provide the information needed to correct for illumination differences. Results from Pix4Dmapper will be absolute and comparable under different light conditions: sunny or overcast.
Note: as shown in the illustration below, flying under scattered clouds might lead to reflectance inaccuracies, clouds may block sunlight heterogeneously across the field while the irradiance sensor can only capture one illumination condition per image.
Yes, Sequoia can be flown without the irradiance sensor. However, in order to produce radiometrically accurate and absolute reflectance maps, a radiometric calibration target (a.k.a. reflectance target) would be required. For more information about reflectance targets click here.
Note: Sequoia can also be flown without the irradiance sensor and without reflectance targets, but results will not be radiometrically calibrated and comparison between maps is not recommended.
32GB SD card, three different irradiance sensor mounts, power and trigger connectors to interface between camera and irradiance sensor, a protection lens for the main camera body and a soft cloth to clean the lenses.
Sequoia imagery can be processed with Pix4Dfields and Pix4Dmapper.
a) Pix4Dmapper takes fine-grained local variations in altitude into account when building maps, whereas Pix4Dfields uses a coarser ground model. If you have a lot of 3D structure in your maps, Pix4Dmapper will give more accurate results for the areas with the 3D structure. However, Pix4Dfields will still give good results on any surrounding flat areas.
b) Pix4Dfields can operate with lower overlap requirements compared to Pix4Dmapper.
For optimal flight area coverage at a certain altitude you must allow for a time lapse between shots. To find out the minimum time to be respected depending on the flight height and speed, please refer to the following chart and diagram.
|Red||The multispectral sensor and the RGB sensor cannot be activated|
|Cell||The RGB sensor cannot be activated|
|Green||All the sensors can be activated|
To process Sequoia data, a minimum overlap between two successive pictures is needed. Refer to the diagram below to find out the distance between two shots depending on the Sequoia flight height for different overlap rate.
The RGB sensor is mounted with a rolling shutter, while the multispectral sensors are mounted with a global shutter. This rolling shutter, together with the low and high frequency vibrations associated with the drone flight are still challenging our newly developed rolling shutter effect correction algorithm. For the moment, in order to generate orthomosaics with Sequoia, we recommend adjusting the flight speed to its minimum and to carefully stabilize the camera on the drone to reduce the rolling shutter effect.
The data can be extracted in three different ways: via USB, Wi-Fi and SD card. Via USB
For Mac: open Image Transfer. This will take you to the multispectral sensor internal memory. You can retrieve the photos taken during the flight.
Via SD CARD
Note: It is recommended to transfer the data to a computer after each flight.
Images are saved on the internal memory or on the SD card as a RAW 10-bit TIFF file for the 4 bands and as a JPG for RGB camera. It stores 5 images for each picture (one per band + RGB).
Sequoia is a very advanced sensor, it provides an unprecedented amount of information. We are constantly working on new ways to leverage all that information to provide the most radiometrically accurate maps for agriculture: sun angle implementation, improved algorithms on the reflectance map generation, etc. With this constant development you can expect updates in our software that will translate into better leveraging of Sequoia’s information.