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95991

GROUND-BASED REMOTE SENSING FOR ESTIMATING THE MOISTURE CONTENT OF DIFFERENT SOIL TYPES

Article

Last updated: 26 Dec 2024

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Agricultural Irrigation and Drainage Engineering

Abstract

Soil moisture information has been used for irrigation scheduling, site-specific management of diseases and pests, and improving crop yield prediction. Spectral remote sensing offers the potential to provide more information for making better-informed management decisions in real time. In contrast, the tradition methods for irrigation management such as tensiometers and oven dry for estimating moisture content are generally time consuming, numerous observations are required to characterize them. The aim of this study was to investigate the suitability of hyperspectral reflectance sensor to estimate the moisture content of different soils. For that the spectral indices of soil were tested to assessment the moisture content by wetted the soil from dry to saturation conditions. The results showed that the three water spectral indices R960/R940, R970/R940 and R970/R900 showed close and highly significant associations with moisture content of sandy soil, and coefficients of determination reach up to R2 = 0.98. The three water spectral indices R878/R862, R956/R926 and R1056/R994 showed close and highly significant associations with moisture content of sandy loam soil, and coefficients of determination reach up to R2 = 0.84. As well as the three water spectral indices R956/R924, R956/R926 and R956/R9284 showed close and highly significant associations with moisture content of clay soil, and coefficients of determination reach up to R2 = 0.86. In conclusion, the use of spectral remote sensing may open an avenue in irrigation management for fast, high-throughput assessments of water status of soil samples.

DOI

10.21608/mjae.2017.95991

Keywords

Irrigation, Precision, Soil water content, Remote Sensing, precision agriculture, Spectral indices

Authors

First Name

S.

Last Name

Elsayed

MiddleName

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Affiliation

Assoc. Prof. of Agric. Eng., Evaluation of Natural Resources Dept., Environ. Studies and Res. Inst., Sadat City Univ., Egypt.

Email

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City

-

Orcid

-

First Name

M. I.

Last Name

Ghazy

MiddleName

-

Affiliation

Lecturer of Ag. Eng., Fac. of Ag., Mansoura Univ., Egypt.

Email

-

City

-

Orcid

-

Volume

34

Article Issue

4

Related Issue

14442

Issue Date

2017-10-01

Receive Date

2020-06-15

Publish Date

2017-10-01

Page Start

1,549

Page End

1,564

Print ISSN

1687-384X

Online ISSN

2636-3062

Article File

MJAE_Volume 34_Issue 4_Pages 1549-1564.pdf

PDF . 1.3MB

Link

https://mjae.journals.ekb.eg/article_95991.html

Detail API

https://mjae.journals.ekb.eg/service?article_code=95991

Order

9

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

GROUND-BASED REMOTE SENSING FOR ESTIMATING THE MOISTURE CONTENT OF DIFFERENT SOIL TYPES

Details

Type

Article

Created At

23 Jan 2023