The possibilities of using thermal infrared imaging data for detecting the main parameters of arable soil fertility

Q4 Agricultural and Biological Sciences
P. G. Grubina, I. Savin, E. Prudnikova
{"title":"The possibilities of using thermal infrared imaging data for detecting the main parameters of arable soil fertility","authors":"P. G. Grubina, I. Savin, E. Prudnikova","doi":"10.19047/0136-1694-2020-105-146-172","DOIUrl":null,"url":null,"abstract":": The analysis of the possibility of using the thermal infrared images for detecting soil fertility parameters of gray forest and alluvial arable soils was carried out by the example of a test filed in Tula region of Russia. Together with the sampling of 25 soil probes from the 0–10 cm layer, the open surface of the soil was photographed using a FLIR VUE 512 thermal imager, and the spectral reflectance of the soil was measured. According to the results of the correlation analysis, it was found that the closest correlations for thermal images are observed with the following parameters of soil fertility: the content of humus, nitrogen, exchangeable magnesium and potassium. The correlation coefficient between the humus content and the reflectance in the visible and near IR-regions, as well as with the average value of the reflectance in thermal band exceeds 0.81. In different diapasons of the visible spectrum, the spectral reflectance correlation with the content of exchangeable magnesium and potassium is lower than in the thermal band, where the correlation coefficient with the content of exchangeable magnesium is 0.81, and with the content of exchangeable potassium is 0.65. Power regression equations were constructed for detecting such soil fertility parameters as humus content (R 2 = 0.74), exchangeable potassium content (R 2 = 0.68), and exchangeable magnesium content (R 2 = 0.72) by reflection in the thermal band of the spectrum. The regressions obtained with the thermal imager data and with the spectral reflectance data in the visible and near IR-bands are similar in quality for detecting humus and exchangeable potassium content, while for detecting exchangeable magnesium content they are a bit higher. The obtained results show that thermal infrared images are applicable for detecting the most significant parameters of soil fertility in the test field and can be used as a basis for their real-time remote sensing monitoring.","PeriodicalId":52755,"journal":{"name":"Biulleten'' Pochvennogo instituta im VV Dokuchaeva","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biulleten'' Pochvennogo instituta im VV Dokuchaeva","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19047/0136-1694-2020-105-146-172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

: The analysis of the possibility of using the thermal infrared images for detecting soil fertility parameters of gray forest and alluvial arable soils was carried out by the example of a test filed in Tula region of Russia. Together with the sampling of 25 soil probes from the 0–10 cm layer, the open surface of the soil was photographed using a FLIR VUE 512 thermal imager, and the spectral reflectance of the soil was measured. According to the results of the correlation analysis, it was found that the closest correlations for thermal images are observed with the following parameters of soil fertility: the content of humus, nitrogen, exchangeable magnesium and potassium. The correlation coefficient between the humus content and the reflectance in the visible and near IR-regions, as well as with the average value of the reflectance in thermal band exceeds 0.81. In different diapasons of the visible spectrum, the spectral reflectance correlation with the content of exchangeable magnesium and potassium is lower than in the thermal band, where the correlation coefficient with the content of exchangeable magnesium is 0.81, and with the content of exchangeable potassium is 0.65. Power regression equations were constructed for detecting such soil fertility parameters as humus content (R 2 = 0.74), exchangeable potassium content (R 2 = 0.68), and exchangeable magnesium content (R 2 = 0.72) by reflection in the thermal band of the spectrum. The regressions obtained with the thermal imager data and with the spectral reflectance data in the visible and near IR-bands are similar in quality for detecting humus and exchangeable potassium content, while for detecting exchangeable magnesium content they are a bit higher. The obtained results show that thermal infrared images are applicable for detecting the most significant parameters of soil fertility in the test field and can be used as a basis for their real-time remote sensing monitoring.
利用热红外成像数据探测耕地土壤肥力主要参数的可能性
以俄罗斯图拉地区的一个试验田为例,分析了利用热红外图像检测灰色森林和冲积耕地土壤肥力参数的可能性。利用FLIR VUE 512热像仪对土壤开放表面进行了拍摄,并测量了土壤的光谱反射率。根据相关分析结果,热像图与土壤肥力参数腐殖质、氮素、交换性镁和钾含量相关性最密切。腐殖质含量与可见光和近红外区反射率以及热波段反射率平均值的相关系数均超过0.81。在可见光谱的不同波段,光谱反射率与交换性镁和钾含量的相关系数低于热波段,与交换性镁含量的相关系数为0.81,与交换性钾含量的相关系数为0.65。建立幂回归方程,利用光谱热波段反射检测腐殖质含量(r2 = 0.74)、交换性钾含量(r2 = 0.68)、交换性镁含量(r2 = 0.72)等土壤肥力参数。热像仪数据与光谱反射率数据在可见光和近红外波段的回归结果对腐殖质和交换性钾含量的检测质量相似,而对交换性镁含量的检测质量略高。结果表明,热红外图像可用于检测试验田土壤肥力最重要的参数,可作为实时遥感监测的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
8 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信