SMAP Validation Experiment 2019–2022 (SMAPVEX19–22): Field Campaign to Improve Soil Moisture and Vegetation Optical Depth Retrievals in Temperate Forests

Andreas Colliander, Michael H. Cosh, Laura Bourgeau-Chavez, Victoria R. Kelly, Simon Kraatz, Paul Siqueira, Victoria A. Walker, Xingjian Chen, Alexandre Roy, Tarendra Lakhankar, Kyle C. McDonald, Nicholas Steiner, Mehmet Kurum, Seung Bum Kim, Aaron Berg, Xiaolan Xu, Sidharth Misra, Mehmet Ogut, Cristina Vittucci, John S. KimballDara Entekhabi, Simon H. Yueh

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Satellite-based retrieval of forest soil moisture (SM) and vegetation optical depth (VOD) are two long-standing unresolved issues hindering advances in hydrology, ecology, and Earth system science. A key obstacle is the lack of adequate reference data in forested regions. NASA's Soil Moisture Active Passive (SMAP) mission, with its partners, conducted the SMAP Validation Experiment 2019–2022 (SMAPVEX19–22) to improve the SMAP SM and VOD retrievals in temperate forests of the northeastern USA. The scope and scale of the campaign exceeded anything done thus far to develop forest satellite-based SM and VOD retrieval algorithms. The field campaign measured SM, surface conditions, and vegetation properties, with results demonstrating the value of tree sensors with SM measurements and destructive sampling of the vegetation water content of branches and leaves to capture the water distribution in soil and trees. Using low-cost zenith-pointing cameras proved effective in tracking vegetation phenology, aiding the interpretation of brightness temperature (TB). Airborne and mobile terrestrial laser scanning measurements captured the three-dimensional forest structure necessary for microwave measurement interpretation. Challenges included characterizing SM in organic forest soils and determining volumetric SM due to spatially variable soil bulk density. Comparisons of the field measurements with SMAP data revealed its ability to retrieve the soil permittivity (correlation of 0.68 and 0.75 for the two experiment sites) alongside VOD, including the frozen conditions. The findings indicated that L-band scattering albedo is temporally variable, and L-band TB is sensitive to deciduous forest leaves, influencing the development of SM and VOD retrieval algorithms.

Original languageEnglish
Pages (from-to)10749-10771
Number of pages23
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume18
DOIs
StatePublished - 2025

Keywords

  • laser radar
  • passive microwave remote sensing
  • remote sensing
  • Soil moisture
  • vegetation

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