Remote Sensing and Gis Approaches to a Qualitative Assessment of Soil Erosion Risk in Serang Watershed, Kulonprogo, Indonesia

Arif, Nursida; Danoedoro, Projo; Hartono, Hartono

doi:10.14710/geoplanning.4.2.131-142

Cited by 3 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The north and western parts the study area is dominantly steep to very steep slopes that have the potential for erosion. Arif et al (2017) stated that the most influential factor on erosion in the Serang watershed in addition to erodibility is the topographic factors.…”

Section: Slopementioning

confidence: 99%

“…the heavy erosion classes that are justified as very heavy and moderate erosion classes because they exhibit the same erosion appearance in the field. However, the following erosion classes namely very light, light, and very heavy are easier because the boundaries between these erosion classes are very clearly marked (Arif et al, 2017). Justification for the erosion classes is very subjective based only on the combination of each of the two erosion parameters and the appearance of erosion encountered in the field, such as channel erosion, trench erosion, or root outcrop.…”

Section: Erosion Classmentioning

confidence: 99%

See 1 more Smart Citation

Erosion Prediction Model using Fractional Vegetation Cover

Arif¹,

Danoedoro²,

Hartono³

et al. 2020

Indonesian J. Sci. Technol

Self Cite

View full text Add to dashboard Cite

The purpose of this study was to create an erosion prediction model in Serang Watershed, Indonesia. The erosion model used two input data, namely the slope derivied from Digital Elevation Model (DEM) data, and Fractional Vegetation Cover (FVC) from SPOT images. Assessment of the model was carried out using questionnaires and interviews with several experts by presenting the results of the model and its supporting data. Based on the DEM data, the level of slope steepness in the study area is very varied namely; flat (52.77%), sloping (7.62%), and rather steep to very steep (39.59%). Vegetation density according to the FVC results is dominated by medium density. The results of the analysis of the two input models can provide predictions of the level of erosion with an accuracy of 67.92%. Evaluation of the model was done by experts with conclusions that the method was very flexible and can be adapted to similar watersheds elsewhere.

show abstract

Section: Slopementioning

confidence: 99%

Section: Erosion Classmentioning

confidence: 99%

Erosion Prediction Model using Fractional Vegetation Cover

Arif¹,

Danoedoro²,

Hartono³

et al. 2020

Indonesian J. Sci. Technol

Self Cite

View full text Add to dashboard Cite

show abstract

“…Research conducted by Wang et al (2013) showed that the use of Landsat TM satellite imagery provides up to 93% accuracy in erosion analysis compared to measurement results. Furthermore, Arif et al (2017) reported that the use of SPOT 5 satellite imagery provides up to 90.57% accuracy in estimating erosion in the Serang -Kulonprogo watershed.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Erosion Potentials through Utilization of Remote Sensing Data and The Universal Soil Loss Equation Model

Faisol¹,

Mashudi²

2023

JTEP-L

View full text Add to dashboard Cite

Remote sensing data and USLE models have been used widely for erosion analysis. In Indonesia, the USLE model is a reference in erosion analysis to assess land suitability for agricultural crop development. Erosion analysis using remote sensing data provides various advantages, including good accuracy, lower costs, and can analyze erosion rates quickly compared to direct measurement methods. The aim of this study was to analyze the potential erosion in the Arui watershed - Manokwari Regency – West Papua Province using remote sensing data and USLE models. The research was conducted from April to July 2022, with three main stages i.e data inventory, data analysis, and erosion rate estimation. The research shows that the potential erosion rate in the Arui watershed is 15 tons/ha/year or 3.480 tons/year, thus exceeding the tolerable soil loss (TSL) erosion rate threshold of 9.6 tons/ha/year. Therefore, a conservation and restoration program is needed to control the erosion rate in the Arui watershed. Keywords: Erosion rate, Remote sensing, Tolerable soil loss, USLE, Watershed

show abstract

“…It receives its water supply from the Serang River through the Pengasih Weir. The Serang Watershed is one of the most critical potential watersheds from a landform and land use perspective [28,29]. The slope length and steepness (LS) and soil erodibility (K) have contributed most to the erosion in the Serang Watershed [28].…”

Section: Introductionmentioning

confidence: 99%

“…The Serang Watershed is one of the most critical potential watersheds from a landform and land use perspective [28,29]. The slope length and steepness (LS) and soil erodibility (K) have contributed most to the erosion in the Serang Watershed [28]. The high level of erosion in the Serang watershed causes high sedimentation in the Pengasih irrigation scheme.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling-Based Management of a Sand Trap throughout Operational and Maintenance Periods (Case Study: Pengasih Irrigation Network, Indonesia)

Pradipta

Loc

Nurhady³

et al. 2022

Water

View full text Add to dashboard Cite

Surface irrigation networks in Indonesia are damaged by several factors, and sedimentation is among the most severe challenges. Sand traps play a substantial role in improving irrigation system efficiency by reducing sedimentation. There are two periods in sand trap operation: the operational and maintenance periods. Pengasih is one of the irrigation schemes implemented in the Progo Opak Serang (POS) River Basin, which has a high level of erosion. This study aimed to propose an appropriate management strategy for the Pengasih sand trap as the first barrier in irrigation network sedimentation based on mathematical modeling. The HEC-RAS simulation software was used to simulate the sand trap hydraulic behaviour. The results show that the validated Manning’s coefficient was 0.025. The optimal transport parameters were Laursen for the potential function, Exner 5 for the sorting method, and Rubey for the fall velocity method. The recommended flushing timeframe is 315 min, with a discharge of 2 m3/s. We suggest that the sand trap flushing frequency be performed twice a year, and it can be performed at the end of March and October. This coincides with the end of the first and third planting seasons of the irrigation scheme.

show abstract

Remote Sensing and Gis Approaches to a Qualitative Assessment of Soil Erosion Risk in Serang Watershed, Kulonprogo, Indonesia

Cited by 3 publications

References 13 publications

Erosion Prediction Model using Fractional Vegetation Cover

Erosion Prediction Model using Fractional Vegetation Cover

Estimation of Erosion Potentials through Utilization of Remote Sensing Data and The Universal Soil Loss Equation Model

Mathematical Modeling-Based Management of a Sand Trap throughout Operational and Maintenance Periods (Case Study: Pengasih Irrigation Network, Indonesia)

Contact Info

Product

Resources

About