Using machine learning techniques in combination with RedEdge-P, individual Palm trees have been detected and key stats such as mean canopy NDVI, area and height have been calculated per tree.

RedEdge-P survey over a soybean field in Argentina. This survey was taken during a dry year to compare against wet year growth variations. In dry years, the soybeans grow best in the lower areas of the fields, and in the wet years, the soybeans prefer the higher areas.

High-resolution, multispectral aerial mapping over a wetland area in Argentina. The survey was done with the RedEdge-P camera and a Wingtra drone.

This wetland was used for cattle ranching, causing its degradation. The field expedition’s goal was to examine the health and conservation of the wetland ecosystem, comparing the data obtained with those from previous surveys. The data is required to plan the wetland restoration.

Flight over pumpkin patch and corn maze with the DJI M300 and the RedEdge-P sensor.

The flight was performed to test the accuracy of plant counting algorithms using the sensors higher resolution pan-sharpened imagery. Pumpkins were counted by size and their distribution across the field. Selecting the graph icon in the left menu will display the results in a bar graph, as well as counts will scale per view area as you scroll in the frame.

Read the case study here.

This dataset was collected in São Paulo state, in Brazil. The collection was done in a corn planted area with the eBee Ag, in February 2021, at the end of the vegetative stage of the crop, one of the most sensitive phases for the corn crop. With the valuable information taken by the Duet M camera, the producer could go directly to the areas presenting issues (in red and yellow), and verify what was the cause of them, as well as work on a solution, or simply have an estimation of the losses on its field’s productivity, having more information that allows a better negotiation in the market.

This dataset of mixed-use agricultural fields was collected in Mont-sur-Lausanne, Switzerland, during Winter 2021. The 103 ha / 254 ac site was mapped with a single 20-minutes eBee Ag flight (with the platform’s RTK activation), and the drone was carrying its designated payload, the Duet M camera.

This dataset of a light industrial estate in Switzerland was collected by an eBee X fixed-wing drone carrying a Duet T thermal mapping camera. The images were processed using Pix4D software. The point cloud and DSM outputs are based on the camera’s RGB images. The thermal data meanwhile were projected to generate the thermal 3D mesh and temperature index map.

This gravel quarry in Johnson, Vermont (USA) was surveyed with an eBee X drone carrying an Aeria X camera. The flight height was planned at 122 m / 400 ft AED at an estimated GSD of 2.54 cm / 1 in. However, because of the depth of the quarry, the final GSD was 3.59 cm / 1.41 in.

This dataset of Thammasat University campus in Bangkok, Thailand was collected by an eBee X drone carrying an Aeria X photogrammetry camera.

The gravity dam in Salanfe, Switzerland has a storage capacity of 40 million cubic metres. It is 52 m / 170 ft high, 40 m / 131 ft wide at the base, with a 608 m / 1.994 ft top length. This dataset was collected with an eBee X carrying a S.O.D.A. 3D camera.