The soil moisture and its effect on the detection of buried hydrogenous material by neutron backscattering technique

Ochbelagh, Dariush Rezaei; Hakimabad, Seyyed Hashem Miri; Najafabadi, R.

doi:10.1016/j.radphyschem.2009.02.002

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Kelembaban tanah merupakan jumlah air yang terdapat di dalam pori tanah (Karyati et al, 2018). Kelembaban tanah di kebun kopi menentukan jumlah air yang tersedia bagi tanaman kopi, mengindikasikan neraca air di kebun kopi, dan selanjutnya menentukan produktivitas kebun kopi (Ochbelagh et al, 2009;Zang dan Zhou, 2016;Wolka et al, 2018;Yue et al, 2019;Zhang et al, 2019).…”

Section: Pendahuluanunclassified

Soil Moisture Assessment Using Soil Moisture Index (SMI) Method at the Bangelan Coffee Plantation, Malang Regency, East Java

Irenasari

Soemarno

2022

JTSL

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Water is one of the limiting factors in the growth of coffee plants. If plants experience a lack of water, it can inhibit plant growth and, at a critical level, can lead to drought stress and plant damages. The available soil water to plants can be estimated from the level of soil moisture index. The monitoring of soil moisture status can be used in improving the management of coffee plantations. Soil Moisture Index (SMI) is a method that can be used to estimate the level of soil moisture using remote sensing technology using NDVI and LST values. The purpose of this study was to analyze the status and distribution of soil moisture at the coffee plantation; analyze the relationship between vegetation index and soil moisture; and analyzed the relationship between soil moisture status using the SMI method and soil moisture measured in coffee plantations. Results showed that the soil moisture index obtained from Landsat 8 OLI/TIRS image processing had an average value of 0.60. The average soil moisture index at the study site is 1.05. Soil moisture index from the Landsat 8 OLI/TIRS image has a significant positive effect on soil moisture at the study site (y = 7.4996x – 3.4789; R2 = 0.7146**). It is suggested that the SMI method can be used to estimate soil moisture in the coffee plantation.

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Section: Pendahuluanunclassified

Soil Moisture Assessment Using Soil Moisture Index (SMI) Method at the Bangelan Coffee Plantation, Malang Regency, East Java

Irenasari

Soemarno

2022

JTSL

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“…During the recent years many efforts have been made to improve nuclear methods for the detection of landmines [1][2][3][4][5][6][7][8]. The most important advantage of methods based on neutron reactions is that neutrons have high penetration ability and the detection of landmines is possible even when they are hidden at the high depth.…”

Section: Introductionmentioning

confidence: 99%

Investigation the Effects of Neutron Source Number and Arrangement in Landmines Detection by Thermal Neutron Capture Gamma Ray Analysis

Shiramin¹,

Masoudi²

2012

WJNST

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Thermal neutron capture can be used as a successful technique for detection of non-metallic landmines via the detection of their constituent like nitrogen. Recently, it has been shown that the detection of 10.829 MeV photons from the 14 N(n,γ) 15 N reaction can be used for finding the landmines. In this method a high-energy neutron source like 241 Am-Be inside water as a moderator is used to have thermal neutron. In this paper we have investigated the effects of the number of neutron sources and their orientation on the gamma ray spectrum by using MCNP4C code. The best case for number of sources and their positions and orientations have been achieved corresponding to maximum flux of 10.829 MeV photons.

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Development of soil moisture indices from differences in water absorption between shortwave-infrared bands

Yue

Tian

et al. 2019

ISPRS Journal of Photogrammetry and Remote Sensing

101

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The soil moisture and its effect on the detection of buried hydrogenous material by neutron backscattering technique

Cited by 5 publications

References 13 publications

Soil Moisture Assessment Using Soil Moisture Index (SMI) Method at the Bangelan Coffee Plantation, Malang Regency, East Java

Soil Moisture Assessment Using Soil Moisture Index (SMI) Method at the Bangelan Coffee Plantation, Malang Regency, East Java

Investigation the Effects of Neutron Source Number and Arrangement in Landmines Detection by Thermal Neutron Capture Gamma Ray Analysis

Development of soil moisture indices from differences in water absorption between shortwave-infrared bands

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