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The existence of industrial waste on the river stream and irrigation channels into paddy field area give an impact in decreasing quality of paddy field. The decreased <br /> <br /> process are influenced by the changes of soil pH value and that changes affect the heavy metal concentratio...
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id-itb.:230942017-12-06T14:18:08Z#TITLE_ALTERNATIVE# FIRMAN GHAZALI (NIM : 25113014), MOCHAMAD Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23094 The existence of industrial waste on the river stream and irrigation channels into paddy field area give an impact in decreasing quality of paddy field. The decreased <br /> <br /> process are influenced by the changes of soil pH value and that changes affect the heavy metal concentration and essensial mineral required by paddy is changed. The <br /> <br /> important of knowing soil pH particularly in paddy field, in this research is doing by making an estimation soil pH based on the spectral characteristics of each bands both <br /> <br /> of spectroradiometer and Landsat 8. <br /> <br /> The estimation method used for obtaining soil pH is regression model, calculated by correlating several soil pH acquired from field and soil samples analyzed in <br /> <br /> laboratory against reflectance numbers from each bands of Landsat 8, spectroradiometer, and several remote sensing indices derived from Landsat 8 such as normalized difference vegetation index (NDVI), soil moisture index (SMI), soil salinity index (SSI) and land surface temperature (LST), then it used to calculate soil <br /> <br /> pH distribution and it changes in paddy field. <br /> <br /> The final result of this research indicates the estimation value of soil pH based on remotely sensed data was done using the combinations of red and near infrared band, <br /> <br /> which produced of soil pH 5.3-5.9 and gives the accuracy 1.18 on the distribution of soil pH map respectively and brought to the change of paddy field quality based on <br /> <br /> soil pH changes to the more acid situation. The soil pH is validated using soil moisture index and soil salinity index and provide a positive linear with weak and moderate correlation respectively. text |
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The existence of industrial waste on the river stream and irrigation channels into paddy field area give an impact in decreasing quality of paddy field. The decreased <br />
<br />
process are influenced by the changes of soil pH value and that changes affect the heavy metal concentration and essensial mineral required by paddy is changed. The <br />
<br />
important of knowing soil pH particularly in paddy field, in this research is doing by making an estimation soil pH based on the spectral characteristics of each bands both <br />
<br />
of spectroradiometer and Landsat 8. <br />
<br />
The estimation method used for obtaining soil pH is regression model, calculated by correlating several soil pH acquired from field and soil samples analyzed in <br />
<br />
laboratory against reflectance numbers from each bands of Landsat 8, spectroradiometer, and several remote sensing indices derived from Landsat 8 such as normalized difference vegetation index (NDVI), soil moisture index (SMI), soil salinity index (SSI) and land surface temperature (LST), then it used to calculate soil <br />
<br />
pH distribution and it changes in paddy field. <br />
<br />
The final result of this research indicates the estimation value of soil pH based on remotely sensed data was done using the combinations of red and near infrared band, <br />
<br />
which produced of soil pH 5.3-5.9 and gives the accuracy 1.18 on the distribution of soil pH map respectively and brought to the change of paddy field quality based on <br />
<br />
soil pH changes to the more acid situation. The soil pH is validated using soil moisture index and soil salinity index and provide a positive linear with weak and moderate correlation respectively. |
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FIRMAN GHAZALI (NIM : 25113014), MOCHAMAD |
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FIRMAN GHAZALI (NIM : 25113014), MOCHAMAD #TITLE_ALTERNATIVE# |
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FIRMAN GHAZALI (NIM : 25113014), MOCHAMAD |
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FIRMAN GHAZALI (NIM : 25113014), MOCHAMAD |
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