The Simple Method to Assess Land Quality of Paddy Field Using Spectral, Soil pH and Statistical Regression Technique  (Case Study of Paddy Field in Majalaya Subdistrict,  Bandung Region)

Ghazali, Mochamad Firman; Harto, Agung Budi; Wikantika, Ketut

doi:10.18502/kls.v2i6.1040

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…The ground soil pH values are individually correlated with every band from the satellite's visible band (VIS) 2, 3, 4, Near Infra-Red (NIR) band 5, Shortwave Infra-Red (SWIR) band 6 and 7 surface reflectance using Excel spreadsheet and Spatial Analyst Tools in ArcMap 10.8 software as shown in Figure 3. With adaptation from [9], single and combination band method is used based on the coefficient of correlation R values from each band. Six scatter plots were made with satellite's spectral band for the Y-axis and Ground Soil pH as an X-axis.…”

Section: Soil Ph Prediction Modelsmentioning

confidence: 99%

Utilising Landsat-8 OLI in determining Soil pH using single and combination band method for paddy fields area in Malaysia.

Salim

Samsuddin

Alias

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The pH of a soil is a measure of its acidity or alkalinity. The pH of the soil is important in agricultural activities because it has an impact on crop yield. Remote sensing, Geographic Information Systems (GIS), and digital soil maps are becoming more appreciated in soil science studies. The research thus focuses on creating a predicted soil pH map of the study area using Landsat-8 satellite imagery and GIS. The single and combination of spectral bands were used to generate three models using simple linear regression. The results suggested that the approach is not sensitive enough for prediction of soil pH in the study area. R2 value obtained are 0.049 from Model 1, 0.016 from Model 3, and 0.0003 for Model 2. All the models indicate that the soil pH is in the acid situation but the full range of observed pH is not matched by any predicted model. In the validation process, Model 1 has an RMSE value of 0.397, whereas both Model 2 and 3 have RMSE value of 0.405. To obtain a more promising pH result, it is suggested to use indices such as vegetable indices (VI), salinity index (SI), and a combination of band ratios.

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Section: Soil Ph Prediction Modelsmentioning

confidence: 99%

Utilising Landsat-8 OLI in determining Soil pH using single and combination band method for paddy fields area in Malaysia.

Salim

Samsuddin

Alias

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Integration of Spectral Measurement and UAV for Paddy Leaves Chlorophyll Content Estimation

Ghazali

Wikantika

Aryantha

et al. 2020

Scientia Agriculturae Bohemica

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In the agriculture sector, proper crop management can enhance yield production. Determination of the chlorophyll content in crop contributes to this significant topic. In this study, the leaves chlorophyll content of local paddy cultivars Inpari 32 and Inpari 33 was estimated and the difference at various days after planting (DAP) was determined. The procedure involved the combination of spectral reflectance data, aerial photographs taken by unmanned aerial vehicle (UAV), and chlorophyll laboratory analysis data. The chlorophyll content in the cultivars leaves was estimated using the models MCARIspectroradiometer and UAV chlorophyll regression (UCR). The results showed a variation in the chlorophyll content not only between the two cultivars on various DAP, but randomly also in the same cultivar of the same DAP. The MCARIspectroradiometer model indicated a lower chlorophyll content for Inpari 32 than for Inpari 33 while the UCR model gave opposite results. The chlorophyll content raises with increasing DAP, but it gradually decreases through the grain filling period until harvest.

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The Simple Method to Assess Land Quality of Paddy Field Using Spectral, Soil pH and Statistical Regression Technique (Case Study of Paddy Field in Majalaya Subdistrict, Bandung Region)

Cited by 2 publications

References 2 publications

Utilising Landsat-8 OLI in determining Soil pH using single and combination band method for paddy fields area in Malaysia.

Utilising Landsat-8 OLI in determining Soil pH using single and combination band method for paddy fields area in Malaysia.

Integration of Spectral Measurement and UAV for Paddy Leaves Chlorophyll Content Estimation

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