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a b. Mapping forest understory in European hemi-boreal stands using MODIS BRDF product. Jan Pisek a , Miina Rautiainen b , Janne Heiskanen b , Matti Mõttus b. July 26, 2011, IGARSS 2011 Vancouver. Why?. the signal from the understory can be used, for example :
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ab Mapping forest understory in European hemi-boreal stands using MODIS BRDF product Jan Piseka, Miina Rautiainenb, Janne Heiskanenb, Matti Mõttusb July 26, 2011, IGARSS 2011 Vancouver
Why? the signal from the understory can beused, forexample: (1) in forestry applications to separate forest site types (i.e. soil fertility classes) (2) to remove the influenceof understory in estimating canopy biophysical variables (e.g. LAI, fPAR) from remotely sensed images (3) to developand test canopy radiative transfer models 2 Rautiainen et al., 2007, RSE
Is it possible? Rn = PTn x RT + PGn x RG + ZTn x RZT + ZGn x RZG 3
How? Rn = PTn x RT + PGn x RG + ZTn x RZT + ZGn x RZG Ra = PTa x RT + PGa x RG + ZTa x RZT + ZGa x RZG RZT = M RT ;RZG = M RG 4 Canisius and Chen, 2007, RSE; Pisek et al., 2010, IEEE-TGRS
Rn = PTn x RT + PGn x RG + ZTn x RZT + ZGn x RZG Ra = PTa x RT + PGa x RG + ZTa x RZT + ZGa x RZG RZT = M RT ;RZG = M RG mixed understory (Peltoniemi et al., 2005, RSE) 5
Bidirectional Reflectance Distribution Function (BRDF) The MODIS BRDF/Albedo Product (MCD43A1) at 500 m resolution every 8 days 6 Photo property of Andres Kuusk
Hyytiälä forest stands Mesic Spruce Herb-rich Birch Xeric Pine lichens and heather herbaceous species and graminoids mosses, abundant dwarf shrubs 7
Upscaling field measurements in Hyytiälä area upscaling with forest site type database (produced by Metsähallitus) 8
Hyytiälä results Field 2010 MODIS 2010 MODIS 2009 9
Hyytiälä results – mean absolute errors DOY 100-200 (April-mid July) QA=0QA=1 red band0.0070.006 NIR band 0.0190.022 DOY 201-300 (mid July-October) QA=0QA=1 red band 0.0090.014 NIR band 0.0450.058 DOY 100-300 (April-October) QA=0QA=1 red band 0.0080.011 NIR band 0.0310.045 10
Hyytiälä summary We retrieve seasonal dynamics of understory spectra at 500 m resolution with MODIS BRDF product Results directly validated with in-situ measured seasonal reflectance trajectories of boreal forest understory layers at Hyytiälä, Finland We illustrate the potential of MODIS multi-angle, multi-spectral observations to map understory properties, which was not possible with mono-angle data Always check and take into accountdocumented quality and limitations of the satellite-derived product! 12
Want to know more? Rautiainen, M., Mõttus, M., Heiskanen, J., Akujärvi, A., Majasalmi, T. & Stenberg, P. 2011. Seasonal reflectance dynamics of common understory types in a Northern European boreal forest. Remote Sensing of Environment (in press). Pisek, J., Rautiainen, M., Heiskanen, J., Mottus, M. On the retrieval of seasonal dynamics of forest understory reflectance in a Northern European boreal forest from MODIS BRDF data. Remote Sensing of Environment (accepted with revisions). 13
RAMI stands (Järvselja, Estonia) RAMI Birch RAMI Pine RAMI Spruce bare soil, mosses a mixture of several grass species various Sphagnum moss species and marsh tea 14 Kuusk et al., 2009, RSE
Järvselja results Field MODIS 2007 Hazelnut LOPEX 86 (birch, aspen, alder) 14 (spruce) 97 (pine) 3 (birch) 36 (birch+alder) 51 (spruce) 13 (pine) 15
RAMI birch stand (Järvselja, Estonia) Field MODIS 2007 Hazelnut LOPEX abundant layer of hazelnut 16
MODIS BRDF parameters (every 8 days at 500m resolution) MODIS BRDF parameters from MCD43A1.005 product R(θi,θv,Φ,λ) = fiso(λ) + fvol(λ)Kvol(θi,θv,Φ) + fgeo(λ)Kgeo(θi,θv,Φ) from Lucht et al. (2000, IEEE) 18