Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring

作者：Egor Prikaziuk, Cláudio Silva Figueira, Gerbrand Koren, Zhanzhang Cai, Katja Berger, Santiago Belda, Lukas Valentin Graf, Enrico Tomelleri, Jochem Verrelst, Joel Segarra, Dessislava Ganeva · 发表于：Computers and Electronics in Agriculture · 年份：2025 · DOI：10.1016/j.compag.2025.110136 · 被引用次数：14 · 研究领域：Remote Sensing in Agriculture、Leaf Properties and Growth Measurement、Greenhouse Technology and Climate Control

Monitoring agricultural land with optical remote sensing offers a valuable tool for estimating crop yield and supporting decision-making for food security. Cropland phenology indicators, such as the start of season (SOS), the end of season (EOS), and the number of growing seasons per year, provide essential information for land managers. While established toolboxes like TIMESAT have been extracting phenological metrics from coarse remote sensing data for two decades, agricultural monitoring applications demand continuous time series of high-resolution data, made possible by the European Union’s Copernicus Sentinel-2 since 2015. Recently, the Copernicus Land Monitoring Service (CLMS) released the pan-European High-Resolution Vegetation Phenology and Productivity (HR-VPP) product suite. We conducted the first comprehensive validation of the analysis-ready SOS and EOS metrics from the VPP dataset of the HR-VPP product over a large set of agricultural fields spanning 10 countries, 14 crop types and 164 growing seasons. Our results demonstrate that the VPP product of the HR-VPP dataset correlates well with the sowing ( r 2 = 0.75) and harvesting ( r 2 = 0.56) dates observed in situ . The biases differ between spring (SOS bias: 59 days, EOS bias: 3 days) and winter (SOS bias: 136 days, EOS bias: –44 days) crops, likely due to the suppression of the autumn vegetation signal in the plant phenology index (PPI) by a solar zenith angle-dependent gain factor. We show that other indicator...