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Processing of S2 images based on SPARC + Javio dataset

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Aims to exploit the capacity of Sentinel-1 and. Sentinel-2 images to develop an innovative portfolio of prototypes agricultural services: - Surface Soil Moisture.
Sentinels Synergy for Agriculture

The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping E. Amin , J. Verrelst, J.P. Rivera-Caicedo, A. Ruiz-Verdú, J. Delegido, N. Pasqualotto, J. Moreno

The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

Sentinels Synergy for Agriculture

Aims to exploit the capacity of Sentinel-1 and Sentinel-2 images to develop an innovative portfolio of prototypes agricultural services: - Surface Soil Moisture - Crop type mapping - LAI green and brown retrieval

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The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

LAI green/brown Green vegetation Current operational LAI products focus on vegetation in photosynthesizing stage

Senescent vegetation  Significant amount of aboveground biomass  Key factor in the carbon cycle  Crop damage monitoring  Fire risk monitoring 3/18 3/24

The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

LAI green/brown

B11

B12

Sentinel-2

Brown and green LAI mapping through spectral indices. Delegido et al. 2015

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The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

Gaussian Processes Regression (GPR) • Machine Learning Regression Algorithm (MLRA) • Training datasets of Input – Output data pairs - Input: Reflectance observations - Output: Biophysical variable (LAI)

• Delivery of associated uncertainties • Ranking of the spectral bands relevance GPR

Band ranking

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The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

GPR model development (v.01)

0.6

Reflectance

0.5 0.4 0.3 0.2 0.1 0 0

500

1000

1500

2000

2500

nm

GPR model LAI green Training database

K-Fold cross validation 4k

GPR model LAI brown 6/18

The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

GPR model evaluation & optimization Model LAI green LAI brown

RMSEC-V [m2/m2] 0.66 0.55

LAI green

NRMSEC-V (%) 7.09 13.66

R2C-V

Time [s]

0.89 0.75

0.58 0.35

LAI brown

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The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

GPR model evaluation & band analysis Model LAI green LAI brown

RMSEC-V [m2/m2] 0.66 0.55

LAI green

NRMSEC-V (%) 7.09 13.66

R2C-V

Time [s]

0.89 0.75

0.58 0.35

LAI brown

The lower the sigma the more relevant the band

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The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping

CV =

𝑆𝐷 𝜇

* 100 µ [m2/m2]

MASK Uncertainty threshold = CV

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