Airphen#

class torchgeo.datasets.Airphen(paths='data', crs=None, res=None, bands=None, transforms=None, cache=True, time_series=False)[source]#

Bases: RasterDataset

Airphen dataset.

Airphen is a multispectral scientific camera developed by agronomists and photonics engineers at Hiphen to match plant measurements needs and constraints.

Main characteristics:

  • 6 Synchronized global shutter sensors

  • Sensor resolution 1280 x 960 pixels

  • Data format (.tiff, 12 bit)

  • SD card storage

  • Metadata information: Exif and XMP

  • Internal or external GPS

  • Synchronization with different sensors (TIR, RGB, others)

If you use this dataset in your research, please cite the following paper:

Added in version 0.6.

all_bands: tuple[str, ...] = ('B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8')#

Names of all available bands in the dataset

rgb_bands: tuple[str, ...] = ('B4', 'B3', 'B1')#

Names of RGB bands in the dataset, used for plotting

plot(sample, show_titles=True, suptitle=None)[source]#

Plot a sample from the dataset.

Parameters:

  • sample (dict[str, Any]) – a sample returned by RasterDataset.__getitem__()

  • show_titles (bool) – flag indicating whether to show titles above each panel

  • suptitle (str | None) – optional string to use as a suptitle

Returns:

a matplotlib Figure with the rendered sample

Raises:

RGBBandsMissingError – If bands does not include all RGB bands.

Return type:

Figure