Drawing on observations from Planet’s satellites and the broader Earth observation ecosystem, Planetary Variables deliver continuous, scientifically rigorous data that measures the changing conditions of the surface of the Earth.
Earth’s hydrological and biological systems shift on a daily basis with immense complexity. Satellite data from Planet can help track some of the vital characteristics that define the health of our world, including water, vegetation, temperature, and forest carbon.
Planetary Variables render complex earth observation data from a range of constellations into actionable measurements, nearly everywhere on the Earth’s landmass. Powered by state-of-the-art remote sensing techniques and honed by a team of award-winning scientists, Planetary Variables provide users robust measurements of the Earth’s surface.
Make better decisions across a range of industries with tools powered by consistent observations and backed by an archive that spans decades.
Daily observations of Soil Water Content across the globe at 100 meter and 1 km resolution
Easy-to-implement, cloud-free Crop Biomass data delivered daily at 10 meter resolution
Accurate, continuous insight into Land Surface Temperature at 100 meter and 1 km resolution
Quantifying aboveground Forest Carbon at less than 5 meter resolution
Monitor changes in woody vegetation canopy height and canopy cover at less than 5 meter resolution
How It Works
Planetary Variables data products are based on the scientific expertise of industry-leading remote sensing scientists. Our team develops advanced algorithms that process satellite data from Planet and from public constellations to produce information that is usable without the need for extensive data cleaning and processing.
Data sources from across the electromagnetic spectrum, including optical, radar, passive microwave, and lidar sensors, reveal different aspects about the physical properties of earth. By fusing these distinct sources together, Planetary Variables unlock information about key characteristics about the Earth.
How It Can Help
Our Forest Carbon dataset offers estimates of aboveground forest carbon stocks for carbon project accounting, digital MRV, reforestation, and deforestation monitoring. Built off Planet’s Surface Reflectance basemaps and validated with extensive airborne lidar, these global data allow low-cost, high-accuracy tracking of tree-scale carbon stocks.
Our suite of data on woody vegetation structure (height, cover, encroachment, and more) allows precision monitoring by utilities, land managers, landowners, regulators, and other stakeholders. Planning, tracking, and verification of vegetation management is possible for your entire portfolio at multiple time points per year.
Planet’s Soil Water Content data generates a reliable, objective measurement of the water content of the soils, anywhere on earth. By tracking conditions over years and decades, a baseline understanding of Soil Water Content is ideal to assess the impact of drought. In collaboration with the world’s most innovative reinsurers and brokers, Planet provides Soil Water Content data in 17 countries to help protect farmers from the impacts of drought.
With detailed, reliable and timely crop health data, Planet’s Crop Biomass provides a straightforward, analysis-ready datastream. Cloud-free biomass data can help track crop health and provide an input for variable rate applications, and because of its consistency, it can support the identification of key events like harvesting or mowing. Ideal for farmers and the companies that serve them.
Near real-time Soil Water Content data helps monitor complex water systems by measuring current water levels to estimate water demand. With two decades of archive data, water resource managers can understand what’s normal and what’s not, tracking droughts, flooding, and the effects of interventions.
Planetary Variables make measuring the dynamic conditions of water, temperature, vegetation, and forest carbon more straightforward, with consistency and scientific rigor you can rely on. Equip your team with the right measurements to monitor conditions and build models.