A satellite mission to monitor soil moisture with active-passive remote sensing
Soil moisture is a primary state variable of hydrology and the water cycle on land, and is an initial or boundary condition of Earth science models. An assessment of surface soil moisture is necessary for applications such as weather forecasting, climate change modeling, monitoring of agricultural productivity, water resources management, drought prediction, flood area mapping, and ecosystem health monitoring. Taking measurements with high levels of accuracy and resolution (spatial and temporal) is therefore imperative for these and other applications, whose outcomes have direct impacts on the global environment and human society.
To record such measurements, NASA has developed the Soil Moisture Active Passive (SMAP) mission, whose science objectives are to understand processes that link the terrestrial water, energy, and carbon cycles; to estimate global water and energy fluxes at the land surface; to quantify net carbon flux in boreal landscapes; to enhance weather and climate forecast skill; and to develop improved flood prediction and drought monitoring capabilities.
SMAP uses an L-band radar (in the range 1–2GHz on the radio spectrum) and an L-band radiometer for concurrent, coincident measurements integrated as a single observation system. The SMAP active and passive microwave measurement approach builds on the heritage of earlier microwave sensors used for Earth monitoring. Combining the two measurements with a shared antenna and providing global mapping capability with frequent revisit are advanced capabilities that are particularly advantageous for the measurement of surface soil moisture and its frozen or thawed state. Figure 1 shows an artist's rendition of the fully deployed SMAP observatory in orbit. The radar and radiometer instruments share the same feed and a rotating 6m mesh-deployable reflector antenna, offering the relative strengths of both active (radar) and passive (radiometer) microwave remote sensing for soil moisture mapping. At L-band, the microwave emission (brightness, temperature) measured by the radiometer mostly emanates from the top ∼5cm and is clearly sensitive to soil moisture in regions with vegetation water content of up to ∼5kg m−2 averaged over the radiometer resolution footprint of ∼40km. The SMAP L-band synthetic aperture radar provides backscatter measurements at higher resolution (∼1–3km) than the coarser-resolution radiometer. However, the radar's accuracy is limited for soil moisture sensing by the higher sensitivity of radar to surface roughness and vegetation scattering. SMAP's significant advantage is the concurrent L-band radar and radiometer measurement capability, enabling soil moisture estimates with accuracy and resolution (∼9km) that meet Earth science application requirements.1
The observatory launched on 31 January 2015 atop a Delta II vehicle from Vandenberg Air Force Base (see Figure 2). An image captured from the second stage of the Delta II rocket shows the SMAP observatory separating from the launch vehicle (see Figure 3). The mission went through its commissioning phase for observatory checking and orbit adjustment between February and April 2015, and there now follows one year of intensive calibration and validation activities to adjust instrument and algorithm parameters. Our future work will focus on the first release of SMAP data: the beta version of L1 radar and radiometer data in August 2015. The L2 soil moisture data will be released in October 2015 for the beta version and April 2016 for the validated data.
The SMAP global mapping radar backscatter and radiometer brightness temperature measurements also enable pathbreaking new capabilities for monitoring the oceans and the terrestrial biosphere. The measurements can be used for mapping sea-ice coverage, ocean surface winds, and possibly ocean salinity. Over land the measurements add the capability to estimate vegetation properties regardless of cloud cover and solar illumination. Low-frequency active and passive microwave sensing enhances the capability to sense and monitor Earth surface processes.