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Retrieval of biophysical parameters and assessment of Alternuria disease severity in safflower using ground based hyper spectral radiometry.

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Title Retrieval of biophysical parameters and assessment of Alternuria disease severity in safflower using ground based hyper spectral radiometry.
Retrieval of biophysical parameters and assessment of Alternuria disease severity in safflower using ground based hyper spectral radiometry.
 
Creator ICAR_CRIDA
 
Subject EnMAP; hyperspectral; PROSAIL; multi-angle; canopy; biophysical variables; agriculture; spectroscopy
 
Description Not Available
Abstract: The future German Environmental Mapping and Analysis Program (EnMAP) mission,
due to launch in late 2019, will deliver high resolution hyperspectral data from space and will
thus contribute to a better monitoring of the dynamic surface of the earth. Exploiting the satellite’s
30 across-track pointing capabilities will allow for the collection of hyperspectral time-series of
homogeneous quality. Various studies have shown the possibility to retrieve geo-biophysical plant
variables, like leaf area index (LAI) or leaf chlorophyll content (LCC), from narrowband observations
with fixed viewing geometry by inversion of radiative transfer models (RTM). In this study we assess
the capability of the well-known PROSPECT 5B + 4SAIL (Scattering by Arbitrarily Inclined Leaves)
RTM to estimate these variables from off-nadir observations obtained during a field campaign with
respect to EnMAP-like sun–target–sensor-geometries. A novel approach for multiple inquiries of a
large look-up-table (LUT) in hierarchical steps is introduced that accounts for the varying instances
of all variables of interest. Results show that anisotropic effects are strongest for early growth stages
of the winter wheat canopy which influences also the retrieval of the variables. RTM inversions
from off-nadir spectra lead to a decreased accuracy for the retrieval of LAI with a relative root mean
squared error (rRMSE) of 18% at nadir vs. 25% (backscatter) and 24% (forward scatter) at off-nadir.
For LCC estimations, however, off-nadir observations yield improvements, i.e., rRMSE (nadir) = 24%
vs. rRMSE (forward scatter) = 20%. It follows that for a variable retrieval through RTM inversion, the
final user will benefit from EnMAP time-series for biophysical studies regardless of t
Not Available
 
Date 2020-02-25T05:51:57Z
2020-02-25T05:51:57Z
2012
 
Type Technical Report
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/32505
 
Language English
 
Relation Not Available;
 
Publisher Prabhakar M