Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at February 18, 2021, Rio Grande do Sul, Brazil

Title:

Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, on February 18, 2021, Rio Grande do Sul, Brazil

Data description:

The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also Drone) covering a forest area of the Federal University of Santa Maria – UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil (Figure 1). The climate of the region is subtropical (Cfa in the Köppen-Geiger classification) with an average annual temperature of 18 °C and annual precipitation of 1919 mm (Alvares et al., 2013). The rainfall is well distributed throughout the year.

Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files.

UAV and camera settings for the acquisition (Specifications Table):

Parameters

Specification/value

Date (YYYYMMDD):

20210218

Time of day (BRT = -3)

10:30 h a.m.

UAV – Drone - Camera

Matrice 100 (X3 and Sequoia Parrot – Multispectral and RGB)

Fly high (meters above ground)

250 m

View angle

90° automatic mode.

Sky conditions

( x ) Clear sky

(  ) Low cloud coverage (some clouds)

(  ) Completely cloudy

Wind condition

( x ) no wind

(  ) Low speed

(  ) High-speed wind

Approximate data acquisition duration

30 minutes

Total of photographs acquired

X3 215; Sequoia Multi 1776+1236; Sequoia RGB 444+309

Across track coverage

80%

Cross-track coverage

80%

Fly planning software

Pix4D Capture (₢)

For more information contact: Fábio Marcelo Breunig, breunig@ufsm.br

An example of the mosaic is showed below (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted.

Figure 2. The capture of an orthomosaic and processing workflow of X3 camera.

References to the main project/publications:

Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: <https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data>.

Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0

Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8