Remotely Piloted Aircraft for Evaluating the Impact of Frost in Coffee Plants: Interactions between Plant Age and Topography

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Remote Sensing Pub Date : 2024-09-18 DOI:10.3390/rs16183467
Gislayne Farias Valente, Gabriel Araújo e Silva Ferraz, Felipe Schwerz, Rafael de Oliveira Faria, Felipe Augusto Fernandes, Diego Bedin Marin
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引用次数: 0

Abstract

An accurate assessment of frost damage in coffee plantations can help develop effective agronomic practices to cope with extreme weather events. Remotely piloted aircrafts (RPA) have emerged as promising tools to evaluate the impacts caused by frost on coffee production. The objective was to evaluate the impact of frost on coffee plants, using vegetation indices, in plantations of different ages and areas of climatic risks. We evaluated two coffee plantations located in Brazil, aged one and two years on the date of frost occurrence. Multispectral images were collected by a remotely piloted aircraft, three days after the occurrence of frost in July 2021. The relationship between frost damage and these vegetation indices was estimated by Pearson’s correlation using simple and multiple linear regression. The results showed that variations in frost damage were observed based on planting age and topography conditions. The use of PRA was efficient in evaluating frost damage in both young and adult plants, indicating its potential and application in different situations. The vegetation index MSR and MCARI2 indices were effective in assessing damage in one-year-old coffee plantations, whereas the SAVI, MCARI1, and MCARI2 indices were more suitable for visualizing frost damage in two-year-old coffee plantations.
遥控飞机评估霜冻对咖啡植株的影响:植物年龄与地形之间的相互作用
准确评估咖啡种植园的霜冻损失有助于制定有效的农艺措施,以应对极端天气事件。遥控飞机(RPA)已成为评估霜冻对咖啡生产影响的理想工具。我们的目标是利用植被指数评估霜冻对不同树龄和气候风险地区的咖啡种植园的影响。我们对位于巴西的两个咖啡种植园进行了评估,这两个种植园在霜冻发生当日的树龄分别为一年和两年。2021 年 7 月霜冻发生三天后,我们用遥控飞机采集了多光谱图像。利用简单和多元线性回归,通过皮尔逊相关性估算了霜冻损害与这些植被指数之间的关系。结果表明,冻害因种植年龄和地形条件而异。使用 PRA 可以有效评估幼苗和成株的冻害情况,这表明 PRA 在不同情况下都具有应用潜力。植被指数 MSR 和 MCARI2 指数可有效评估一龄咖啡种植园的冻害情况,而 SAVI、MCARI1 和 MCARI2 指数则更适用于观察二龄咖啡种植园的冻害情况。
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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