ORCID Profile
0000-0002-0046-082X
Current Organisations
Wageningen University & Research
,
Wageningen University
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Publisher: Informa UK Limited
Date: 2002
Publisher: Elsevier BV
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2014
Publisher: Elsevier BV
Date: 12-2006
Publisher: Informa UK Limited
Date: 12-2006
Publisher: Elsevier BV
Date: 08-2022
Publisher: Wiley
Date: 18-10-2022
Abstract: The leaf chlorophyll content (Chl leaf ) is a crucial vegetation parameter in carbon cycle modelling and agricultural monitoring at local, regional and global scales. The red‐edge spectral region is sensitive to variations in Chl leaf. An increasing number of sensors are capable of s ling red‐edge bands, providing opportunities to estimate Chl leaf . However, the contributions of canopy/foliar/soil factors are always combined in the reflectance signal, which limits the generalizability of vegetation index (VI)‐based Chl leaf inversions. This study aims to propose a new red‐edge chlorophyll index to decouple the effects of the canopy and soil background from the Chl leaf estimation. The chlorophyll sensitive index (CSI) was proposed, and the regression equations between the CSI and Chl leaf were acquired using PROSAIL (PROSPECT + SAIL) and the 4‐Scale‐PROSPECT model. Sensitivity analyses showed that the CSI is resistant to variations in the canopy structure and soil background. Validation results obtained using 308 ground‐measured s les over nine sites world‐wide revealed that CSI improves the Chl leaf retrieval accuracy (root mean square error (RMSE = 9.39 μg cm −2 ) compared with the existing Medium Resolution Imaging Spectrometer (MERIS) terrestrial chlorophyll index (MTCI RMSE = 13.00 μg cm −2 ). Moreover, the CSI method steadily achieves a highly accurate inversion under different LAI and Chl leaf conditions. Based on the CSI regression method, a Chl leaf product with a 30‐m/10‐day resolution across China was generated. The CSI is sensitive to Chl leaf but resistant to canopy structure and soil moisture parameters, and it has the potential to explicitly retrieve leaf‐scale biochemistry in ecosystem modelling and ecological applications.
Publisher: Elsevier BV
Date: 09-2013
Publisher: Informa UK Limited
Date: 2001
Publisher: Elsevier BV
Date: 09-2004
Publisher: Elsevier BV
Date: 15-03-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2014
Publisher: Informa UK Limited
Date: 03-2000
Publisher: Elsevier BV
Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: Elsevier BV
Date: 1999
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 2007
No related grants have been discovered for Jan Clevers.