Authors :
Rony Riduan; Riza Miftahul Khair; Andre Anantama Irawan; Farrel Alta Ferisza Siregar
Volume/Issue :
Volume 7 - 2022, Issue 11 - November
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3TUEbkm
DOI :
https://doi.org/10.5281/zenodo.7336357
Abstract :
The main environmental issues in Banjar
Regency Indonesia are the handling of residential
wastewater and environmental degradation due to
mining activities. Efforts to monitor and analyze water
quality status with a large area and diverse land use
require a lot of time and money. This research will help
provide alternative solutions for predicting the quality of
inland waters using remote sensing satellite image
interpretation. The research was conducted to obtain the
distribution pattern of water quality parameters such as
Turbidity, TSS (Total Suspended Solid), organic CDOM
(Colored Dissolved Organic Matter Absorption), and
Chlorophyll-a (Chl-a). These four parameters are
generally monitored through field sampling which is
time-consuming and costly. Remote sensing provides the
possibility to provide water quality information over a
wide area and identify trends in changing water quality
patterns through historical data. The research was
conducted through the interpretation of Sentinel-2
satellite imagery and other sources such as Landsat and
SRTM. Data were collected over the last 5 years and
processed using the GEE (Google Earth Engine), ESASNAP (European Space Agency - Sentinel Application
Platform), and QGIS applications. The interpretation
results for current conditions are calibrated using field
measurement data, then mapped to display patterns of
water quality parameter conditions spatially and
temporally. The last step is to perform spatial statistical
analysis and the trend of changes in water quality using
the GEODA application. The distribution of water
quality parameter values shows various patterns for
inland waters in Banjar Regency but tends to increase in
locations close to residential and agricultural areas. All
water quality parameters reviewed also show an
increasing trend in the last 5 years according to the
analysis period.
Keywords :
Banjar Regency, Inland Water, Remote Sensing, Water Quality, Sentinel-2.
The main environmental issues in Banjar
Regency Indonesia are the handling of residential
wastewater and environmental degradation due to
mining activities. Efforts to monitor and analyze water
quality status with a large area and diverse land use
require a lot of time and money. This research will help
provide alternative solutions for predicting the quality of
inland waters using remote sensing satellite image
interpretation. The research was conducted to obtain the
distribution pattern of water quality parameters such as
Turbidity, TSS (Total Suspended Solid), organic CDOM
(Colored Dissolved Organic Matter Absorption), and
Chlorophyll-a (Chl-a). These four parameters are
generally monitored through field sampling which is
time-consuming and costly. Remote sensing provides the
possibility to provide water quality information over a
wide area and identify trends in changing water quality
patterns through historical data. The research was
conducted through the interpretation of Sentinel-2
satellite imagery and other sources such as Landsat and
SRTM. Data were collected over the last 5 years and
processed using the GEE (Google Earth Engine), ESASNAP (European Space Agency - Sentinel Application
Platform), and QGIS applications. The interpretation
results for current conditions are calibrated using field
measurement data, then mapped to display patterns of
water quality parameter conditions spatially and
temporally. The last step is to perform spatial statistical
analysis and the trend of changes in water quality using
the GEODA application. The distribution of water
quality parameter values shows various patterns for
inland waters in Banjar Regency but tends to increase in
locations close to residential and agricultural areas. All
water quality parameters reviewed also show an
increasing trend in the last 5 years according to the
analysis period.
Keywords :
Banjar Regency, Inland Water, Remote Sensing, Water Quality, Sentinel-2.
