Rogier Burger

Rogier Burger


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
27 March 2023 in Remote Sensing of Environment
Verified
Journal Article
Open access
NBNadja Den Besten
Nadja Den Besten
SDSusan Steele Dunne
Susan Steele Dunne
AMAshfak Mahmud
Ashfak Mahmud
DJDaniel Jackson
Daniel Jackson
BABenjamin Aouizerats
Benjamin Aouizerats
PZPieter van der Zaag
Pieter van der Zaag

28 February 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
RBRogier Burger
Rogier Burger
BABenjamin Aouizerats
Benjamin Aouizerats
NBNadja Den Besten
Nadja Den Besten
PGPierre Guillevic
Pierre Guillevic
FCFilipe Catarino
Filipe Catarino
RJRichard de Jeu
Richard de Jeu
The Biomass Proxy is a new cloud-free vegetation monitoring product that offers timely and analysis-ready data indicative of above-ground crop biomass dynamics at 10m spatial resolution. The Biomass Proxy links the consistent and continuous temporal signal of the Sentinel-1 Cross Ratio (CR), a vegetation index derived from Synthetic Aperture Radar backscatter, with the spatial information of the Sentinel-2 Normalized Difference Vegetation Index (NDVI), a vegetation index derived from optical observations. A global scaling relationship between CR and NDVI forms the basis of a novel fusion methodology based on static and dynamic combinations of temporal and spatial responses of CR and NDVI at field level. The fusion process is used to mitigate the impact on product quality of low satellite revisit periods due to acquisition design or persistent cloud coverage, and to respond to rapid changes in a timely manner to detect environmental and management events. The resulting Biomass Proxy provides time series that are continuous, unhindered by clouds, and produced uniformly across all geographical regions and crops. The Biomass Proxy offers opportunities including improved crop growth monitoring, event detection, and phenology stage detection.