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

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Sebastian Goihl
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引用次数: 0

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.
在2018年德国萨克森联邦州干旱的情况下,利用官方农业数据确定哥白尼高分辨率植被物候和生产力产品(HR-VPP)的实用性
基于遥感的植被状况数据为农业提供了重要信息。本研究对高分辨率植被物候和生产力产品(HR-VPP)的潜在用途进行了测试。本测试考察了德国萨克森州2018年的干旱情况,以及HR-VPP产品与综合管理和控制系统(IACS)数据结合使用的能力和局限性。结果表明,对干旱进行田间和作物类型的空间分析是可能的,而且这种数据分析仍有很大的潜力。使用新提出的基于vpp的农场级时间比较指标(VPP-FLTCI)中的数据,不可能梳理出为什么农场在2018年申请国家干旱援助的模式,而不是其他农场。在未来,基于HR-VPP的更好和更详细的分析是可以期待的,因为目前总共5年的数据系列仍然很短,无法产生足够的参考,特别是在中欧农业中,以轮作为特征。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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