Planet Labs

Open Dataset
Creators:
Planet Labs Inc.
Publication Date:
2014
Data Category:
Dataset Description:
Planet Labs offers high-resolution satellite imagery from its fleet of small satellites (Dove and SkySat). The platform provides access to detailed and frequent imagery for various applications such as monitoring and analysis. The satellites collect data across multiple spectral bands, including Red, Green, Blue, and Near-Infrared (NIR), facilitating diverse analyses such as vegetation health assessment and land cover classification. The constellation's design allows for frequent revisits, with PlanetScope achieving near-daily coverage and SkySat capable of sub-daily tasking, essential for applications requiring up-to-date information. Planet Labs collects imagery covering up to 300 million square kilometers daily, resulting in a vast number of observations over time. PlanetScope imagery dates back to 2014, with 8-band data available from 2020. The RapidEye constellation, acquired by Planet Labs, provided imagery from 2009 until its retirement in 2020. In total, the dataset has data in a size exceeding 10 PB. Planet Labs' dataset covers several sub-datasets, each corresponding to different satellite constellations and imaging capabilities:​

  • PlanetScope: Consists of hundreds of small satellites capturing imagery at approximately 3.7-meter resolution across four multispectral bands (Red, Green, Blue, NIR). This dataset supports applications like agricultural monitoring, forest management, and environmental assessment. ​

  • SkySat: Comprises around 15 satellites providing high-resolution imagery at 50-centimeter resolution, with capabilities for sub-daily tasking. SkySat data is valuable for detailed analyses, including infrastructure monitoring and urban planning. ​

  • RapidEye (Retired): Included five satellites that operated from 2009 to 2020, delivering 5-meter resolution imagery across five spectral bands (Blue, Green, Red, Red Edge, NIR). RapidEye data was utilized for applications such as land use mapping and crop monitoring

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