Angular normalisation of PROBA-V 300m NDVI

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1 Angular normalisation of PROBA-V 300m NDVI Global Land Service Jonathan León-Tavares Else Swinnen Bruno Smets Carolien Toté VITO Jean-Louis Roujean ACSATIS Operated through a consortium, led by

2 Free and Open Access MultiTemp Bruges June

3 NDVI 300m [Version-1] Based on Proba-V 300m data (cloud screened, atmospherically corrected) S10 Maximum Value composites (MVC). MultiTemp Bruges June

4 NDVI 300m [Version-1] Based on Proba-V 300m data (cloud screened, atmospherically corrected) S10 Maximum Value composites (MVC). Swath patterns -- directional effects MultiTemp Bruges June

5 Continuity and Sustainability Sensors for global ecosystems monitoring SPOT-VEGETATION 1 SPOT-VEGETATION 2 PROBA-V SENTINEL-3A SENTINEL-3B SENTINEL-3C SENTINEL-3D METOP-A METOP-B SENTINEL-2A SENTINEL-2B SENTINEL-1A SENTINEL-1B METOP-C SENTINEL-2C SENTINEL-2D SENTINEL-1C SENTINEL-1D METOP-2 nd Gen MultiTemp Bruges June

6 BRDF Processor: Angular Normalised Toc (ANT) MultiTemp Bruges June

7 Copernicus NDVI 300m [Version 2] Inputs: Proba-V 300m L2A TOA data. Angular normalised (using semiempirical BRDF model from Roujean+1992). Compositing strategy aimed to conserve NRT. MultiTemp Bruges June

8 Compositing strategy Following user requirements (i.e. dekadal frequency), only highlighted compositing are further considered. MultiTemp Bruges June

9 Different compositing strategies MSG/SEVIRI MultiTemp Bruges June

10 Using the Discrete Correlation Function (DCF) The DCF does not require interpolation of data and was conceived (Edelson & Krolik 1988) to probe correlation in two time series that are unevenly sampled and for which uncertainties are known. MultiTemp Bruges June

11 SEVIRI-NDVI300m lag MultiTemp Bruges June

12 Selecting compositing strategy t t t Temporal weighting functions Sample of 47 European sites with good quality MSG/SEVIRI time series. Compositing strategy selection based on lowest normalised lag between NDVI angular normalised time series from MSG/SEVIRI and Proba-V. MultiTemp Bruges June

13 NDVI300m NRT t t t The mean lag between normalised NDVI 300m Version-2 time series (produced with B1 configurations using the ANT processor) and MSG/SEVIRI time series is 4 days. MultiTemp Bruges June

14 NDVI300m NRT DCF(MSG/SEVIRI, PBV300m NDVI V1) DCF(MSG/SEVIRI, PBV300m NDVI V2) Small lags for NDVI V2 MultiTemp Bruges June

15 Noise reduction in NDVI300m time series σ NDVI V1 = 3.3 σ NDVI V2 = 1. 7 (lat,lon)=(39.028,-2.074) We estimate the noise in NDVI time series as in Breon MultiTemp Bruges June

16 NDVI Comparison with MODIS For evaluation, we consider the Nadir BRDF- Adjusted Reflectance 16-Day L3 Global 500m MODIS MCD43A4 product Version-5. Good consistency with MCD43A4 for Europe. Global test validation is ongoing. Differences to bear in mind are: Difference in spectral bands Semi empirical BRDF model used in angular normalisation is not the same (Modis Ross thick Li- Sparse, NDVI300m V2 - Roujean) MultiTemp Bruges June

17 NDVI NDVI Comparison with MODIS For evaluation, we consider the Nadir BRDF- Adjusted Reflectance 16-Day L3 Global 500m MODIS MCD43A4 product Version-5. Good consistency with MCD43A4 for Europe. Global test validation is ongoing. Differences to bear in mind are: Difference in spectral bands Semi empirical BRDF model used in angular normalisation is not the same (Modis Ross thick Li- Sparse, NDVI300m V2 - Roujean) MultiTemp Bruges June

18 Summary Ongoing development of a BRDF corrected NDVI product at 300m within the framework of Copernicus Global Land Service. NDVI 300m Version-2 aimed to maintain NRT as possible. Based on a time series cross-correlation analysis (using the DCF method) with angular normalised NDVI time series from MSG/SEVIRI, we have selected a compositing strategy. BRDF corrected NDVI time series obtained with the selected compositing strategy (10-days, temporal weighting function: ramp-step) show a good agreement with MSG/SEVIRI angular normalised NDVI time series with an average lag of 4 days. Good agreement with MODIS MDC43A4 (V5) for Europe. Evaluation at global scale is ongoing. MultiTemp Bruges June

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