Rapid Appraisal for Agricultural Land Utilization in the erosion and landslide vulnerable mountainous areas of Kulonprogo Regency, Indonesia

Juhadi, Juhadi; Banowati, Eva; Sanjoto, Tjaturahono Budi; Nugraha, Satya Budi

doi:10.1108/meq-01-2019-0023

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…The steep slope in the highwall zone results in low stability to keep the slope standstill. As a result, along the highwall zone, it is prone to landslides and cliff erosion (Juhadi et al, 2020). Slope failure displaces not only the surface soil layer but also the parent material and andesite rock.…”

Section: Highwall Zone (S1)mentioning

confidence: 99%

“…However, the growth in populations will also intensify interaction with nature. As a consequence, changes to the physical condition of the environment are inevitable (Juhadi et al, 2021(Juhadi et al, , 2020Rockström et al, 2009;Trihatmoko et al, 2021). One human activity in volcano environments that can dramatically change environmental conditions is stone mining exploration.…”

Section: Introductionmentioning

confidence: 99%

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The Study of Anthropogenic Disturbance on Geopedogenetic Process at the Lower Slope of Mt. Ungaran, Indonesia

Juhadi

Pratiwi

Trihatmoko

et al. 2022

Rev. Bras. Geomorfol.

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Volcanic rocks mining activity will undoubtedly remove vegetation cover and cause the physical environment changes. Revegetation effort as part of land rehabilitation program then often found many obstacles because it was mostly conducted without adequate knowledge of detailed morphology and soil characteristics at the post-mining area. This study investigates the geopedogenetic changes, including land surface morphology, recent geomorphic processes, and soil properties caused by andesite rocks exploitation at the northern flank of Mt. Ungaran, Central Java Province of Indonesia. A digital terrain model was firstly generated from small format aerial photography acquired by an unmanned aerial vehicle (UAV) to identify the surface morphology changes due to the mining. Soil observation on field and laboratory test were conducted from samples at the affected and unaffected mining areas in order to analyse the changes on pysiochemical properties. This research exhibits that the mining activities have altered a single convex hill into a complex land surface morphology consisting of sloping zone, basins and flat area. Human disturbance on pedogenetic process at the mining area are in the form of parent material alteration that make them return to the early stage of soil development and top soil reduction that modify its genetic horizons. In addition, the changes on surface morphology and the absence of vegetation cover right after the mining ends also triggered new geomorphic processes in the form of incision and deposition on slopes and basin respectively. The finer deposit layers then become a new parent material at the basin zone. Soil laboratory data demonstrate that the affected soils tend to have a high level of base saturation, but lower C-organic and N-total levels, which result in a less favourable environment for supporting vegetation growth. A precise surface morphology design, extra soil surface protection and organic matter enhancement could be wise recommendations for land managers to control soil incision and support vegetation growth at the andesite post-mining area.

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Section: Highwall Zone (S1)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Study of Anthropogenic Disturbance on Geopedogenetic Process at the Lower Slope of Mt. Ungaran, Indonesia

Juhadi

Pratiwi

Trihatmoko

et al. 2022

Rev. Bras. Geomorfol.

Self Cite

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“…Recently, experiments have employed Synthetic Aperture Radar (SAR) images [7,8] although detecting and mapping landslides using SAR remains challenging [9]. Additionally, numerous studies in agricultural areas have employed an Unmanned Aerial Vehicle (UAV) [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments

Cavalli,

Pisano,

Fiorucci

et al. 2024

Remote Sensing

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Remote images are useful tools for detecting and monitoring landslides, including shallow landslides in agricultural environments. However, the use of non-commercial satellite images to detect the latter is limited because their spatial resolution is often comparable to or greater than landslide sizes, and the spectral characteristics of the pixels within the landslide body (LPs) are often comparable to those of the surrounding pixels (SPs). The buried archaeological remains are also often characterized by sizes that are comparable to image spatial resolutions and the spectral characteristics of the pixels overlying them (OBARPs) are often comparable to those of the pixels surrounding them (SBARPs). Despite these limitations, satellite images have been used successfully to detect many buried archaeological remains since the late 19th century. In this research context, some methodologies, which examined the values of OBARPs and SBARPs, were developed to rank images according to their capability to detect them. Based on these previous works, this paper presents an updated methodology to detect shallow landslides in agricultural environments. Sentinel-2 and Google Earth (GE) images were utilized to test and validate the methodology. The landslides were mapped using GE images acquired simultaneously or nearly simultaneously with the Sentinel-2 data. A total of 52 reference data were identified by monitoring 14 landslides over time. Since remote sensing indices are widely used to detect landslides, 20 indices were retrieved from Sentinel-2 images to evaluate their capability to detect shallow landslides. The frequency distributions of LPs and SPs were examined, and their differences were evaluated. The results demonstrated that each index could detect shallow landslides with sizes comparable to or smaller than the spatial resolution of Sentinel-2 data. However, the overall accuracy values of the indices varied from 1 to 0.56 and two indices (SAVI and RDVI) achieved overall accuracy values equal to 1. Therefore, to effectively distinguish areas where shallow landslides are present from those where they are absent, it is recommended to apply the methodology to many image processing products. In conclusion, given the significant impact of these landslides on agricultural activity and surrounding infrastructures, this methodology provides a valuable tool for detecting and monitoring landslide presence in such environments.

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“…Humans can choose to develop components that are considered to support land development and eliminate components that are considered useless. However, this phenomenon is increasing significantly in reality, mainly to manipulate the conditions and ecological processes in several areas [3,4].…”

Section: Introductionmentioning

confidence: 99%

Determination of Sustainable Food Land Directions in Bantul Regency, Indonesia Based on Food Security Level and Land Use Conversion

Martanto¹,

Ngabekti²,

Juhadi³

et al. 2023

IJSDP

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Bantul Regency was originally a food-rich area with a rice surplus. However, in the last decade, land conversion has been converted to non-agricultural land, significantly reducing rice production and disrupting food security. Based on this background, this study was conducted to analyze processes, patterns, and spatial trends of land use conversion and their effects on food security conditions, both of which are the basis for recommending sustainable land use directions in Bantul Regency. The study was conducted using a mixed approach with the research population of all sub-districts in Bantul Regency, and the survey method was used to validate land conversion data. The variables in this study consist of (1) land conversion, including processes, patterns, and spatial trends, and (2) food security. Data collection techniques used are observation, interviews, and field checks. Land conversion analysis uses the Average Nearest Neighbor (ANN=z-score), with data on the distribution of conversions from agricultural to non-agricultural land use made from LANDSAT Satellite Imagery data. The research results on the nearest neighbor distribution index from the ANN analysis show that the pattern of land use conversion at the district level is clustered. In contrast, they are clustered, random, and dispersed at the sub-district level. While at the sub-district level, the food security level is a high surplus in six sub-districts, a low surplus in eight sub-districts, and minus in three sub-districts. Directions for sustainable land use are as follows: areas that can be converted for development are three sub-districts; as a granary area are two sub-districts; and as a buffer zone are six sub-districts. Land conversion not only affects the existence of productive land, but also affects various other factors such as economic, social, and environmental factors which in turn have an impact on decreasing food production and income per capita of farming families. Buffer areas should be converted with such strict provisions that sustainable food security can be realized.

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Rapid Appraisal for Agricultural Land Utilization in the erosion and landslide vulnerable mountainous areas of Kulonprogo Regency, Indonesia

Cited by 6 publications

References 10 publications

The Study of Anthropogenic Disturbance on Geopedogenetic Process at the Lower Slope of Mt. Ungaran, Indonesia

The Study of Anthropogenic Disturbance on Geopedogenetic Process at the Lower Slope of Mt. Ungaran, Indonesia

Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments

Determination of Sustainable Food Land Directions in Bantul Regency, Indonesia Based on Food Security Level and Land Use Conversion

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