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A first approach towards estimating nutrient uptake of grasslands by assimilating multi- and hyperspectral remote sensing data in growth models

Dorigo, Wouter (2003) A first approach towards estimating nutrient uptake of grasslands by assimilating multi- and hyperspectral remote sensing data in growth models. In: Proc. 3rd EARSeL Workshop on Imaging Spectroscopy, pp. 180-187. 3rd EARSeL Workshop on Imaging Spectroscopy, 13-16 May 2003, Herrsching. ISSN 2-908885-26-3

Full text not available from this repository.

Abstract

This paper presents a design for improving the predictive power of a growth model for grasslands by assimilating hyperspectral remote sensing data. The ultimate goal of the method is to use the growth model to get a clearer understanding of the nutrient uptake by vegetation within differently managed grasslands. In a first experiment, at three stages during the growing season of 2003, airborne multi- and hyperspectral data will be recorded over the catchment of Lake Waging-Taching in the foreland of the Bavarian Alps, Germany. Biophysical parameters of different types of grassland use, such as canopy water content, chlorophyll content and leaf area index (LAI) will be retrieved from the atmospherically corrected imagery by the inversion of the leaf/canopy reflectance model PROSAIL. This model inversion will be optimized for LAI retrieval by fixing the water content, specific leaf weight, soil reflection and the chlorophyll content for three fields. The LAI values retrieved from the inversion of the optimized PROSAIL model will be used to update the LAI values as simulated by the growth prediction model. In this way the model for predicting grass growth will be optimized for the actual growing conditions. No concrete results of the approach can be presented yet.

Item URL in elib:https://elib.dlr.de/44298/
Document Type:Conference or Workshop Item (Poster)
Title:A first approach towards estimating nutrient uptake of grasslands by assimilating multi- and hyperspectral remote sensing data in growth models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dorigo, WouterUNSPECIFIEDUNSPECIFIED
Date:13 May 2003
Journal or Publication Title:Proc. 3rd EARSeL Workshop on Imaging Spectroscopy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 180-187
Editors:
EditorsEmail
Habermeyer, MartinUNSPECIFIED
Müller, AndreasUNSPECIFIED
Holzwarth, StefanieUNSPECIFIED
ISSN:2-908885-26-3
Status:Published
Keywords:rowth prediction model, leaf/canopy reflectance model, model inversion, grassland, spatio-temporal simulation, airborne hyperspectral imagery, HyMap, Daeadalus AADS 1268, HTO Bavaria
Event Title:3rd EARSeL Workshop on Imaging Spectroscopy
Event Location:Herrsching
Event Type:international Conference
Event Dates:13-16 May 2003
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W - no assignment
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - no assignment (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:27 Apr 2009 13:00

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