DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

A LUT approach for biophysical parameter retrieval by RT model inversion applied to data from wide field of view sensors.

Dorigo, Wouter and Richter, Rolf and Müller, Andreas (2005) A LUT approach for biophysical parameter retrieval by RT model inversion applied to data from wide field of view sensors. In: Proc. 4th EARSeL Workshop on Imaging Spectroscopy, pp. 599-607. 4th EARSeL Workshop on Imaging Spectroscopy, 2005-04-27 - 2005-04-29, Warsaw. ISBN 83-89502-41-0.

Full text not available from this repository.


Since many years scientists have been working on techniques for retrieving biophysical and bio-chemical canopy parameters from remote sensing data. Recently the inversion of canopy reflec-tance models has been well established as a reliable alternative to the classical empirical ap-proaches. However, still a few obstacles have to be taken for making this technique fully opera-tional. In this context a lookup table approach was developed for the inversion of the combined leaf and canopy reflectance model PROSPECT+SAILH. The approach contains some elements that enable the use of scene specific information, such as the option of performing the inversion per user-defined land cover class. This may lead both to a more reliable parameter estimation as well as to a reduced calculation time since the algorithm does not have to take into account all possible reflectance cases within a scene. An important aspect of the inversion algorithm is the possibility to incorporate pixel based information on view geometry thus using the information con-tained in BRDF signatures instead of correcting for it. The model was tested on HyMap hyperspectral imagery of summer 2003 taken of the area sur-rounding Lake Waging-Taching in Southeast Germany. Scan angle and azimuth information con-tained in a file resulting from parametric geocoding was used to assess the spatial variation of view geometry to the separate pixels. Compared to the case in which only nadir view information is used, the model performed significantly better in the sense that it eliminated biased parameter estimations induced by BRDF effects. A comparison of parameter values estimated from data of the same area, but with different flight and sun configurations, shows that the results are much more consistent when view geometry is taken into account, even though measurements were not taken in the principal plane, and were supposed to be little affected by directional influences. A validation with measured field parameters is yet to be performed.

Item URL in elib:https://elib.dlr.de/44303/
Document Type:Conference or Workshop Item (Poster)
Title:A LUT approach for biophysical parameter retrieval by RT model inversion applied to data from wide field of view sensors.
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:Proc. 4th EARSeL Workshop on Imaging Spectroscopy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 599-607
EditorsEmailEditor's ORCID iDORCID Put Code
Keywords:PROSPECT, SAIL, Hyperspectral, HyMAP
Event Title:4th EARSeL Workshop on Imaging Spectroscopy
Event Location:Warsaw
Event Type:international Conference
Event Start Date:27 April 2005
Event End Date:29 April 2005
Organizer:EARSeL & Warsaw University
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security > Environment and Geoinformation
Deposited By: Dorigo, Wouter
Deposited On:16 Aug 2006
Last Modified:24 Apr 2024 19:05

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.