第33回日本情報地質学会講演会 講演要旨集 017-018頁 2022年

A combination of Satellite Image, Soil Type, and Topography Data toDelineate Potential Area of Groundwater Recharge
Tedi Atmapradhana* and Katsuaki Koike**Department of Urban Management, Graduate School of Engineering, Kyoto University, Katsura
C1-2, Kyoto 615-8540, Japan.
E-mail: tedi.atmapradhana.83a@st.kyoto-u.ac.jp

Key words: Land cover, Digital Elevation Model, Recharge area, Landsat-8 image

1. Introduction
Remote sensing technology has been successfully
applied to Land Use and Land Cover classification（Moukana and Koike，2008). Freely accessible remotesensing image data such as Landsat-8 and Digital

Figure 1. Landsat-8 image covering the study area.

Elevation Model data have been widely used for mapping
land use and other spatial analyses. Landsat-8 launchedin 2013, includes 11 spectral bands from visible tothermal infrared region. The satellite imagery is useful
Figure 2. DEM data.

for mapping groundwater recharge areas (Masoud andKoike，2006).
This study aims to specify groundwater recharge areasin the Madura Island area, East Java Province,
Indonesia using Landsat 8 image set. The main reason ofthis selection is that this area needs much groundwater
foragriculture

andlifenecessities.

Figure 3. Land use/ land cover (LULC) map. Blue:

However,agriculture, red: settlement, green: tenuous

groundwater system in this study area has not yet been

vegetation, yellow: bare land, purple: dense

clarified in detail.

vegetation, and navy: water bodies.

2. Data and Methodology
2.1. Study area and data
The study area covers an area of approximately
5,379 km2. As the main land cover types, five categories
were selected: water bodies (W), tenuous vegetation (TV),

Figure 4. Soil type map. Orange: chromic luvisols, blue:

settlement (S), bare land (B), and dense vegetation (DV).

eutric fluvisols, purple: pellic fluvisols, and grey:

Soil types consist of four categories: chromic luvisols,lithosols.

lithosols, eutric fluvisols, and pellic verstisols.

182.2 Methodology

including groundwater must be carried out based on theSeven band data at 30 m spatial resolution (blue,river area by the Central River Basin. There is agreen, red, NIR, SWIR 1, SWIR 2, Panchromatic) of

distinction between river basins and groundwater

Landsat-8 image acquired on 1st October 2019 and 29thbasins, necessitating separate management with theSeptember 2021 covering the study area (Fig. 1) are

groundwater basins. In the Madura Island, the map ofused for land cover mapping and visual interpretation

groundwater

for an object classification using Google Map. This

information about the areas with large volume ofremotesensing

parametersof

data
theisusedto

groundwater

recharge

potential

zone

providesobtainvariousgroundwater. This map provides limited information

potential.

Theseregarding

potential

groundwater

recharge

areas.

parameters are then combined with other secondary

Nonetheless, this data can indicate a starting point fordata such as digital elevation model (DEM: Fig. 2), landsite determination in a series of groundwater studies.

use/land cover (LULC) map (Fig. 3), soil type (Fig. 4),

Thisand rainfall to produce a zoning map of groundwater

groundwater conservation and land use planning.

data

can also determine policies,

suchaspotential. The above research flow is summarized in
Figure 5.

Figure 6. Potential recharge area map. Blue: very highpotential, navy: high potential, yellow: relative,orange: low potential, and red: very low potential.

4. Summary
Our next step is use of field investigation data foraccuracy

improvement

ofthemaps

relatedtogroundwater. The lack of field investigation data
Figure 5. Research flowchart to produce a map of

become the main reason of this low agreement value.

potential area of groundwater recharge.

References
3. Results

Masoud, A. and Koike, K. (2006) Tectonic architecture

Based on the produced groundwater potential map

through

Landsat-7

ETM+/SRTM

DEM-derived(Fig. 6), it can be seen that Madura Island has a very

lineaments and relationship to the hydrogeologic

high groundwater potential: 27.8%, high potential:

setting in Siwa region, NW Egypt. Journal of African

52.1%, relative low potential: 17.8%, low potential: 1.6%

Earth Sciences, vol. 45, nos. 4/5, pp. 467-477.

and very low potential: 0.64%. By this preliminary

Moukana, J. A. and Koike, K. (2008) Geostatistical model

assessment, the study area has sufficient volume offor correlating declining groundwater levels withgroundwater to be used, which meets the needs of lifechanges in land cover detected from analyses ofand agricultural activities.

satellite images. Computers & Geosciences, vol. 34, no.

Moreover,themanagementofwater

resources

11, pp. 1527-1540.