This title appears in the Scientific Report :
2014
Validation of Leaf Area Index calculated on RapidEye imagery against in situ measurements in Rur Catchment, Germany.
Validation of Leaf Area Index calculated on RapidEye imagery against in situ measurements in Rur Catchment, Germany.
Time series of Leaf Area Index (LAI) calculated on high spatial and temporal optical satellite imagery obtained by RapidEye, is validated against in situ LAI for vegetation season 2011-12. For in situ LAI, Delta-T SunScan, LiCor’sLAI2200 and a destructive method were used at different places inside...
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Personal Name(s): | Ali, Muhammed |
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Montzka, Carsten / Stadler, Anja / Vereecken, Harry | |
Contributing Institute: |
Agrosphäre; IBG-3 |
Published in: | 2013 |
Imprint: |
2013
|
ISBN: |
978-3-95545-002-1 978-3-631-62877-5 |
Conference: | 5th RapidEye Science Archives Workshop, Neustrelitz (Germany), 2013-03-20 - 2013-03-21 |
Document Type: |
Contribution to a conference proceedings |
Research Program: |
Terrestrial Systems: From Observation to Prediction Modelling and Monitoring Terrestrial Systems: Methods and Technologies |
Publikationsportal JuSER |
Time series of Leaf Area Index (LAI) calculated on high spatial and temporal optical satellite imagery obtained by RapidEye, is validated against in situ LAI for vegetation season 2011-12. For in situ LAI, Delta-T SunScan, LiCor’sLAI2200 and a destructive method were used at different places inside a winter wheat field. The availability of the unique red edge band was also tested in this paper for accurate estimation of LAI. Prior to the LAI estimation,RapidEye images are radiometrically normalized, that enhanced the quality of the product and made the results more reliable. Both LAI ground based sensors were also compared and LAI2200 vs destructive LAI gave a bit higher R²value (R²=0.75) than SunScan vs destructive LAI (R²=0.55). Better calculation of LAI will greatly help improve the estimation of soil moisture and evapotranspiration (ET). |