DocumentCode :
2191740
Title :
Integrative use of multitemporal rapideye and TerraSAR-X data for agricultural monitoring
Author :
Bach, Heike ; Friese, Malin ; Spannraft, Katharina ; Migdall, Silke ; Dotzler, Sandra ; Hank, Tobias ; Frank, Toni ; Mauser, Wolfram
Author_Institution :
VISTA Remote Sensing in Geosci. GmbH, Munich, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3748
Lastpage :
3751
Abstract :
The synergistic use of optical and SAR data for applications in agriculture and precision farming is analyzed. Plant parameters derived from optical sensors have proven to be very valuable inputs for accurate crop growth modeling and biomass monitoring. Information on the temporal development of Leaf Area Index (LAI) and structural canopy changes, such as harvest, strongly support the simulation of plant development and yield formation in a realistic and spatially distributed manner. The accuracy of LAI retrieval, based on RapidEye data using radiative transfer simulations with SLC, has been successfully validated with in-situ measurements for wheat, maize and rapeseed. Thus, LAI derived from optical data covering many fields and observing the whole crop cycle served for analyzing the sensitivity of TerraSAR-X to LAI for wheat. A high correlation between LAI values and radar backscatter especially in VV polarization was observed on field basis. Derivation of LAI from SAR-data can successfully complement LAI derived from optical data and thus stabilize the necessary data sources for plant modeling, making the data less dependent on weather conditions. Additionally, a structural indicator for the determination of the harvest date was found in the VH/VV backscatter ratio.
Keywords :
agriculture; backscatter; crops; optical sensors; radar polarimetry; radiative transfer; remote sensing by radar; sensor fusion; synthetic aperture radar; vegetation mapping; LAI retrieval; SAR data; SLC; TerraSAR-X data; VH-VV backscatter ratio; VV polarization; agricultural monitoring; agriculture; biomass monitoring; crop cycle; crop growth modeling; data source; harvest date determination; leaf area index; maize; multitemporal RapidEye data; optical data; optical sensors; plant modeling; plant parameters; precision farming; radar backscatter; radiative transfer simulation; rapeseed; sensitivity analysis; structural canopy change; structural indicator; temporal development; weather condition; wheat; yield formation; Agriculture; Backscatter; Biomedical optical imaging; Optical imaging; Optical polarization; Optical sensors; Synthetic aperture radar; LAI; SLC; X-band radar; plant parameter retrieval; yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350502
Filename :
6350502
Link To Document :
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