Determining the usefulness of the Copernicus High-Resolution Vegetation Phenology and Productivity Product (HR-VPP) with official agricultural data on cropland in case of the 2018 drought in the Federal State of Saxony, Germany

Author:

Goihl Sebastian1ORCID

Affiliation:

1. 1 Saxon State Office for the Environment, Agriculture and Geology, 01326 Dresden, Germany

Abstract

Abstract Remote sensing-based data on vegetation conditions provide important information for agriculture. In this study, the potential uses of the freely available High-Resolution Vegetation Phenology and Productivity Product (HR-VPP) are tested. This test examines the 2018 drought year in the state of Saxony, Germany, and the capabilities and limitations of the HR-VPP product in use with Integrated Administration and Control System (IACS) data. The results show that field and crop type-specific spatial (re)analyses of a drought are possible and that there is still great potential in this data analysis. Using the data in a new proposed VPP-based Farm-Level Temporal Comparison Indicator (VPP-FLTCI), it was not possible to tease out patterns in why farms applied for state drought aid in 2018 compared to other farms. In the future, even better and more detailed analyses based on the HR-VPP can be expected, as the data series with now a total of 5 years is still very short to generate sufficient references, especially in Central European agriculture, which is characterized by crop rotation.

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change

Reference48 articles.

1. Bauer-Marschallinger B. & Massart S. 2022 Quality Assessment Report. Update 2021. Surface Soil Moisture. Collection 1 km. Version 1.0. Available from: https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_QAR2021_SSM1km-V1_I1.00.pdf (accessed 22 February 2023).

2. Impact of extreme weather conditions on European crop production in 2018

3. Bojanowski J. S., Musial J. P. & Sikora S. 2022 Crop type classification using High-Resolution Vegetation Phenology and Productivity Product. In 2022 Living Planet Symposium. https://doi.org/10.13140/RG.2.2.28205.15841.

4. Reading Greenness in Urban Areas: Possible Roles of Phenological Metrics from the Copernicus HR-VPP Dataset

5. Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco

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