Satellite data in PIX4Dfields

Follow

This article introduces satellite data in PIX4Dfields and explains how to work with it.

Introduction to Satellite data

PIX4Dfields 2.0 allows access to satellite imagery from the Sentinel-2 mission of the European Space Agency (ESA). This gives an excellent mapping opportunity to combine both satellite and drone technologies in agriculture and related industries. Satellite images have been broadly adapted by farmers, researchers, and companies to gather information about their businesses.

Main advantages of satellites are the broad-area coverage, historical data access, and gathering data without the need to be on the field.

Main disadvantages are the obstruction of the images by clouds, the low revisit time depending on location, and the high Ground Sampling Distance (GSD) of the images. However, the resolution is sufficient for many agricultural cases.

Data characteristics:

  • Historical data is available globally from 2017.
  • Revisit time is ~5 days. For more information: Revisit and coverage.
  • All bands are upsampled to a resolution of 5m and stacked in a raster (.tiff).
  • Radiometric and atmospheric corrections are applied to deliver bottom of the atmosphere (BOA) reflectance data, processed from L1C data with Sen2Cor.
  • The maximum field boundary size for an individual request is 3250mx3250m (~1000 ha).
Sentinel bandname Band description Native
resolution
Upsampled resolution
B02 Blue, 492.4 nm (S2A), 492.1 nm (S2B) 10m 5m
B03 Green, 559.8 nm (S2A), 559.0 nm (S2B) 10m 5m
B04 Red, 664.6 nm (S2A), 665.0 nm (S2B) 10m 5m
B05 Vegetation red edge, 704.1 nm (S2A), 703.8 nm (S2B) 20m 5m
B06 Vegetation red edge, 740.5 nm (S2A), 739.1 nm (S2B) 20m 5m
B07 Vegetation red edge, 782.8 nm (S2A), 779.7 nm (S2B) 20m 5m
B08 NIR, 832.8 nm (S2A), 833.0 nm (S2B) 10m 5m
B8A Narrow NIR, 864.7 nm (S2A), 864.0 nm (S2B) 20m 5m
B11 SWIR, 1613.7 nm (S2A), 1610.4 nm (S2B) 20m 5m
B12 SWIR, 2202.4 nm (S2A), 2185.7 nm (S2B) 20m 5m

How to import Sentinel-2 images in PIX4Dfields

Sentinel-2 images can either be imported into a new project or an existing one.
In order to import images into an existing project, click import.jpg Import on the layers menu.

import images to an existing project

Import images icon on Layers menu.

In order to import images into a new project, click  add_box-outline-16.png New Project on the dashboard.

After the Import files menu appears;

  • Select Download under the Satellite data section.

import files menu, PIX4Dfields allows importing sattelite and drone images.

Import files menu.

  • First, the boundary needs to be selected, or it can be created by clicking  add_box-outline-16.png Create new or imported by clicking import.jpgImport shape. Holes in shapes will be discarded, data will be shown for the whole field. If you need the holes in your layer, you can trim it afterwards using the same boundary you used for the satellite download. For more information: Trim layers.
  • Once the boundary is selected, the prior month's available images will appear in the graphic.

Satellite_Mode.png

Satellite image selection menu.

  • The X-axis contains the date of each image.
  • The Y-axis contains the Rectangle_446.png Cloud coverage bars and the average Ellipse_5.png NDVI.
  • Click on the bars to display the image on the map.
  • The 14 days buttons on the sides allow searching images in those periods.
  • Clicking the calendar icon, another month/year could be selected.
  • To download an image, select it by clicking on the square above each bar.
  • After, the selected days appear on the right-hand side of the menu under Selected days.
  • Click Create layers to make them available in the layers menu of PIX4Dfields.

Layers and bands available after importing

Two layers are created for each downloaded image, an RGB composite orthomosaic that contains all the available bands, and a precalculated NDVI. Names are created by adding Date + Boundary name.

Bands.png

Bands available for generating indices.

What can I do with available layers?

All the features available in PIX4Dfields can be used with both layers obtained. The RGB composite orthomosaic can be used for creating indices as it contains all the available bands. Zonations and prescriptions can be created with the NDVI orthomosaic. 

Satellite troubleshooting

  • There is a fair-use quota for satellite data in place. In case of reaching it contact support.

data quota limit reached

Quota limit reached error message.

Try PIX4Dfields now

Register for a free 15 days trial to import Sentinel-2 satellite images in PIX4Dfields.

Was this article helpful?
3 out of 4 found this helpful

Article feedback (for troubleshooting, post here)

0 comments

Article is closed for comments.