NDVI Sensors

NDVI Sensors main image NDVI Sensors image

Rise Above sell a number of multi-spectral sensors. Each with their own pros' and cons

Please see below for a summary of the differences:

Sentera Single

As the name implies this device has 1 data collecting sensor (a NIR Near Infra-Red or Red Edge) sensor. So it only has has one lens, and collects data in the Infra-Red light Specturm. When conducting post anaysis, The Sentera Software will use the IR images within the sensor, as well as the RGB images from the normal camera on the Drone to process the results.

The High-Precision NDVI Single and High-Precision NDRE Single utilize patent-pending technology to improve spectral band separation and generate more accurate vegetation index measurements. The High-Precision Single sensor is available in two variants: normalized difference vegetation index (NDVI) and normalized difference red edge (NDRE). The Single is unmatched in its performance due to its global shutter, tiny size and lightweight. It’s the world’s best tool for those who want to collect the highest quality NDVI or NDRE data. The High-Precision Single sensors integrate onto any drone, helping agronomists, consultants, and producers identify growth issues earlier and with greater precision.

 

Sentera Double

Building upon the Sentera Single Sensor, the double sensor has 2 sensors. There are a number of configurations you may want to choose from for these 2 sensors, which can be made to order.

Lets look at some of the common configurations

The Sentera Double 4K is a small, fully customizable twin-imager sensor that is universally compatible with any UAV. Fitting in the footprint of a GoPro® HERO 4, the rugged, high-throughput Double 4K Sensor is designed for use in harsh environments with configuration options that make it ideal for use in agriculture and infrastructure inspection applications. Both cameras are capable of capturing high-megapixel color stills, near-infrared (NIR), and normalized difference vegetation index (NDVI) data, and 4K video. The multispectral Double 4K sensor variant offers five spectral bands: blue, green, red, red edge, and NIR. Using patent-pending technology, Sentera’s Multispectral Double 4K sensor helps agronomists, crop consultants, and growers identify issues with their crops earlier and with greater precision.

 

Red Edge-M

The RedEdge-M is a rugged, built-to-last, professional multispectral sensor. Capturing not only the spectral bands required for basic crop health indexes, but also additional bands to power further analytics, this sensor is a multispectral powerhouse—and one of the most flexible solutions on the market. It gives you optimized GSD (resolution), a downwelling light sensor, a low power requirement, a global shutter for distortion-free images, RGB color composite (through the use of Red, Green, Blue bands), GigE Ethernet connectivity for faster data transfer, removable Wi-Fi attachments, and the freedom of platform-agnostic data and integration. All in a compact size and low weight that allow it to be used with a wide variety of unmanned aircraft systems.

 

Please see below image for differnces between the Micaseense Red Edge-M and the Micasense Parrot

 

Parrot

The Parrot Sequoia multispectral sensor is revolutionising the sector, offering a comprehensive, adaptable solution that is compatible with all types of drones. With its two sensors, multispectral and sunshine, Sequoia analyses plants' vitality by capturing the amount of light they absorb and reflect. Collecting this data means that farmers can do what's best for their fields.

The Parrot Sequoia solution is a real decision-making aid. By providing information on plants' health, the Sequoia enables farmers to take action at the micro-plot level. Optimising the use of fertiliser by varying the quantities according to need, reducing the use of pesticide to only the plots which require it and analysing plant behaviour after irrigation are all benefits obtained via the Parrot Sequoia sensor. Control your production costs better and optimise your yield.