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AT_MB_MM_IGARSS2011.ppt
- 1. Retrieval of Soil Moisture and Vegetation Canopy Parameters With L-band Radar for a Range of Boreal Forests Alireza Tabatabaeenejad, Mariko Burgin , and Mahta Moghaddam Radiation Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor, MI, USA
- 3. Introduction (2/3) The need to monitor soil moisture on a global scale has motivated the European Space Agency (ESA)'s Soil Moisture and Ocean Salinity (SMOS) mission and the National Aeronautics and Space Administration (NASA)'s Soil Moisture Active and Passive (SMAP) mission. /33 Courtesy of ESA Courtesy of JPL
- 7. Forward Model: Introduction /33 Soil & forest parameters Scattering coefficients Frequency, incidence angle Forward Model
- 16. Inverse Model: Simulated Annealing (2/2) /33 Temperature Current State Last accepted point of the chain Best state so far
- 25. Inversion of Model Parameters: Three forests Old Jack Pine (OJP), Young Jack Pine (YJP), Old Black Spruce (OBS) forests Old Jack Pine: Columnar trees, dry and flat sandy loam ground, densely covered with dry lichen, which is transparent at L-band Young Jack Pine: Pyramidally-shaped trees, very dry and flat sandy ground with short and sparse ground cover Old Black Spruce: Columnar coniferous trees, wet loam ground complicated by a non-uniform moss and organic layer, water puddles, and bushy understory /33
- 26. Inversion of Model Parameters: Measurement transects Ground measurements included a transect of 100 m along which several measurements were taken in ~10-m intervals. /33
- 33. Questions /33 Thank you for your interest. Do you have any questions? Further questions: Alireza Tabatabaeenejad [email_address] Mariko Burgin [email_address] Mahta Moghaddam [email_address]
Hinweis der Redaktion
- Geotechnical engineering is the branch of engineering concerned with the engineering behavior of earth materials.
- The measurement data used in this study are from CanEx-SM10, conducted to support the development and validation of soil moisture algorithms for ESA's SMOS mission, launched in 2009, and NASA's SMAP mission, scheduled to launch in 2014. During CanEx-SM10, NASA/JPL UAVSAR flown on a Gulfstream III aircraft acquired large swaths of fully polarimetric L-band measurements. Vegetation parameters and soil parameters including moisture and texture parameters, roughness properties, and surface temperature were measured at several locations and at times close to the airborne overpasses. Data acquisition included forests, including OJP, young jack pine (YJP), and OBS forests, located north of Prince Albert National Park in Saskatchewan, Canada, which are among BERMS.
- In this talk, I consider two separate but related problems. The first problem is a forward model, which in our case, is an electromagnetic scattering model.
- - Durden model does not implement allometric relationships. We use it inside the inversion algorithm. - The properties of large and small branches (dielectric constant, length, radius, density, orientation), leaves (dielectric constant, length, radius, density), trunks (dielectric constant, length, radius, density), soil (volumetric moisture content, roughness RMS height), canopy height, and orientation parameters of small and large branches.
- The allometric relationships are also based on measurements; any two vegetation geometrical parameters are assumed to be linearly related to each other with coefficients that are calculated based on the actual values.
- - Durden model does not implement allometric relationships. We use it inside the inversion algorithm. - The properties of large and small branches (dielectric constant, length, radius, density, orientation), leaves (dielectric constant, length, radius, density), trunks (dielectric constant, length, radius, density), soil (volumetric moisture content, roughness RMS height), canopy height, and orientation parameters of small and large branches.
- - Dielectric constants and hypothetical allometric relationships correspond to an OBS forest (from CanEx-SM10)
- - Dielectric constants and hypothetical allometric relationships correspond to an OBS forest (from CanEx-SM10)
- - Dielectric constants and hypothetical allometric relationships correspond to an OBS forest (from CanEx-SM10)
- - Dielectric constants and hypothetical allometric relationships correspond to an OBS forest (from CanEx-SM10)
- BERMS: Boreal Ecosystem Research and Monitoring Sites (Canada), study area is at the southern edge of Canada's boreal forest, in the province of Saskatchewan. BERMS program is a joint initiative of Canadian government agencies, universities and other research partners, to study the role that Canadian boreal forest plays in the global carbon budget and climate change. The Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10) is primarily designed to support the ESA’s Soil Moisture and Ocean Salinity (SMOS) validation activities over Land and to develop soil moisture retrieval algorithms in Canada. Boreal forest is a biome characterized by coniferous forests.
- Loam is soil composed of sand, silt, gravel, and clay in relatively even concentration (about 40-40-10-10% concentration respectively). Silt: sand, mud, etc. that is carried by flowing water and is left at the mouth of a river or in a harbour. /'gravel/: small stones, often used to make the surface of paths and roads /'pɪrəmɪdl/ Moss: a very small green or yellow plant without flowers that spreads over damp surfaces, rocks, trees. Lichen: a very small grey or yellow plant that spreads over the surface of rocks, walls and trees and does not have any flowers. /kə'nɪfərəs/
- - /tran’sect/ - Vegetation parameters and soil parameters were measured at several locations and at times close to the airborne overpasses.
- Averaging is to reduce speckle.
- Mention the unit.
- In the three-unknown case, use of both co-pol and cross-pol backscattering coefficients results in RMS errors of 0.034 in soil moisture, which, when compared to the two-data-point results, confirms the unreliability of the cross-pol radar data and/or scattering model.