• DocumentCode
    3595597
  • Title

    Passive and active microwave remote sensing of soil moisture under a forest canopy

  • Author

    Chauhan, N. ; Le Vine, D. ; Lang, R.

  • Author_Institution
    Raytheon, Lanham, MD, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    1914
  • Abstract
    Active and passive microwave remote sensing of soil moisture is compared at L-band for forested covered terrain. Data collected in Howland, Maine during the Forest Ecosystem Dynamics (FED) experiment in 1990 have been used to validate a discrete scatter model. The model is then used in a series of parameter studies to extrapolate the results to canopies with a wide range of biomass and surface conditions. The objective of this study is to gain insight into the range of biomass over which soil moisture can be measured by the two sensors. Tree and surface parameters are varied to generate different biomass and ground conditions. Both radar and radiometer exhibit sensitivity to soil moisture under a wide range of conditions. How these sensitivities diminish with increasing biomass and surface roughness is an important factor in the response of both sensors
  • Keywords
    airborne radar; hydrological techniques; moisture; radiometry; remote sensing by radar; soil; FED experiment; Forest Ecosystem Dynamics experiment; Howland; L-band; Maine; active microwave remote sensing; biomass; discrete scatter model; forest canopy; forested covered terrain; passive microwave remote sensing; radar; radiometer; soil moisture; surface conditions; surface parameters; surface roughness; tree parameters; Biomass; Biosensors; Ecosystems; L-band; Passive microwave remote sensing; Radar scattering; Remote sensing; Rough surfaces; Soil moisture; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.774985
  • Filename
    774985