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

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES Journal of Water and Climate Change Pub Date : 2023-11-06 DOI:10.2166/wcc.2023.501
Sebastian Goihl
{"title":"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","authors":"Sebastian Goihl","doi":"10.2166/wcc.2023.501","DOIUrl":null,"url":null,"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.","PeriodicalId":49150,"journal":{"name":"Journal of Water and Climate Change","volume":"9 9","pages":"0"},"PeriodicalIF":2.7000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"Sebastian Goihl\",\"doi\":\"10.2166/wcc.2023.501\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":49150,\"journal\":{\"name\":\"Journal of Water and Climate Change\",\"volume\":\"9 9\",\"pages\":\"0\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water and Climate Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2023.501\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water and Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wcc.2023.501","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
期刊最新文献
Analysis of different hypotheses for modeling air–water exchange and temperature evolution in a tropical reservoir Accounting for climate change in the water infrastructure design: evaluating approaches and recommending a hybrid framework Climatic characteristics and main weather patterns of extreme precipitation in the middle Yangtze River valley Water quality prediction: A data-driven approach exploiting advanced machine learning algorithms with data augmentation Consequence assessment of the La Giang dike breach in the Ca river system, Vietnam
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1