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All Journal Journal of Degraded and Mining Lands Management JURNAL ILMIAH GEOMATIKA Konvergensi International Journal of Remote Sensing and Earth Sciences (IJReSES) Pengmasku Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Fajar Yulianto
Lembaga Penerbangan dan Antariksa Nasional
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Improving the accuracy and reliability of land use/land cover simulation by the integration of Markov cellular automata and landform-based models __ a case study in the upstream Citarum watershed, West Java, Indonesia Yulianto, Fajar; Suwarsono, Suwarsono; Sulma, Sayidah
Journal of Degraded and Mining Lands Management Vol. 6 No. 2 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.062.1675

Abstract

Land use/land cover (LULC) is one of the important variables affecting human life and the physical environment. Modelling of change in LULC is an important tool for environmental management and for supporting spatial planning in environmentally important areas. In this study, a new approach was proposed to improve the accuracy and reliability of LULC simulation by integrating Markov cellular automata (Markov-CA) and landform-based models. Landform characteristics, positions and patterns influence LULC changes that are important in understanding the effects of environmental change and other physical factors. The results of this study showed that integration of Markov-CA and landform-based models increased correct rejection as a component of agreement and reduced incorrect hits and false alarms as components of disagreement for the percentage of the study area in each resolution (multiple of native pixel size). Correctly simulated hits as a component of agreement change also increased, even though nine of the 18 pairs of three-map comparisons showed a decline in this aspect. Meanwhile, misses as a component of disagreement change simulated as persistence also increased, although six of the 18 pairs of data showed a decline. Based on the overall three-map comparison analysis, there was an increase in the figure of merit (FOM) values after the Markov-CA and landform-based models were integrated, although six of the 18 pairs of data indicated a decrease in FOM values. This indicates improved results after integration of Markov-CA and landform-based models.
The dynamics of shoreline change analysis based on the integration of remote sensing and geographic information system (GIS) techniques in Pekalongan coastal area, Central Java, Indonesia Yulianto, Fajar; Suwarsono, S; Maulana, Taufik; Khomarudin, Muhammad Rokhis
Journal of Degraded and Mining Lands Management Vol. 6 No. 3 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.063.1789

Abstract

Coastal areas are found in the dynamic zone at the interface between the three major natural systems of the Earth's surface. The phenomenon of shoreline change is one of the most frequent problems encountered in the coastal environment and is caused by natural processes that result in dynamic changes in the coastal area. Coastal area change can affect the vulnerability of the coastal environment and its properties, such as shoreline stabilization, flood control, sediment retention, natural protection and others. The method of integrating remote sensing data with geographic information system (GIS) techniques has been widely used to monitor and analyze the dynamics of shoreline change in coastal areas. The purpose of this study is to map and analyze the dynamics of shoreline change from 1978 to 2017 in the study area. An approach combining spectral value index and visual interpretation of Landsat images was used and proposed to indicate the separation of land and water bodies, for shoreline extraction. The normalized difference water index (NDWI) can be used as a spectral value index approach for differentiating land and water bodies. Furthermore, the analysis of shoreline changes was performed using the digital shoreline analysis system (DSAS). Based on calculations made using DSAS, it can be seen that the pattern of coastline change tends to be dominated by offshore erosion. The results of this study may also be important as input data for coastal hazard assessment as part of the effort to overcome the problem of flood tides.
Utilization of Sentinel-1 satellite imagery data to support land subsidence analysis in DKI Jakarta, Indonesia Ardha, Mohammad; Suhadha, Argo Galih; Julzarika, Atriyon; Yulianto, Fajar; Yudhatama, Dipo; Darwista, Rofifatuz Zulfa
Journal of Degraded and Mining Lands Management Vol. 8 No. 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2587

Abstract

Land subsidence had been a significant problem in DKI Jakarta and Semarang, with at least 20 kilometres of roads affected. Repairing them will require at least US $ 1 million per kilometre. Land subsidence monitoring has been carried out using terrestrial methods (GPS and levelling), which are believed to have a high degree of accuracy. The high accuracy of the terrestrial method results in a lack of precision over a large area. On the other hand, remote sensing technology as a non-terrestrial method has developed to monitor land subsidence which can produce high precision over a large area. This study aimed to test the Sentinel-1 satellite data using the Differential Interferometric Synthetic Aperture Radar (DInSAR) method in monitoring land subsidence in DKI Jakarta. DInSAR is a method in Remote Sensing that utilizes radar sensors to analyze the phase differences of a SAR data pair that have different times of capture and have been catalogued to obtain displacement along the area of collection. The results showed that the North Jakarta area experienced the highest land subsidence in the entire Jakarta area. The annual average rate from 2017-2019 is 3.4 cm. The value of 3.4 cm is the average value of all samples in the North Jakarta area. The second area where high land subsidence is West Jakarta, where the maximum amount value of subsidence is 2.8 cm. The accuracy-test results with the MONAS test point showed that the difference between field data and DInSAR results was ± 6.5 cm. The results of this research indicate that the DInSAR method is quite capable of describing land subsidence in the DKI Jakarta area with a relatively good level of precision.
Rapid detection of land cover change in tropical savanna environment using conditional change vector analysis on remote sensing data in Moyo watershed, Sumbawa Regency, West Nusa Tenggara Province, Indonesia Nugroho, Gatot; Chulafak, Galdita Aruba; Yulianto, Fajar
Journal of Degraded and Mining Lands Management Vol. 8 No. 3 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.083.2731

Abstract

In environmental management, land cover change is a crucial aspect. The area of tropical savanna environments is vulnerable to land degradation. This study aimed to rapidly detect land cover changes in a tropical savanna environment based on remote sensing data. Conditional change detection was performed using the Change Vector Analysis (CVA) with input parameters such as the Enhanced Vegetation Index (EVI) and Normalized Difference Soil Index (NDSI). The results showed that during the period 2015 to 2019, changes were detected in the Moyo watershed every year. From 2015 to 2016, the Moyo River Basin was dominated by changes with a change magnitude of less than 0.088, which was 63% of the Moyo River Basin area. From 2016 to 2017, the changes were dominated by the change magnitude value of 0.063, which was 58.6% of the Moyo River Basin area. From 2017 to 2018, changes were dominated by the change magnitude value of 0.084 of 55.26% of the Moyo watershed area. From 2018 to 2019, the change was dominated by the change magnitude value of 0.057, which was 47.57% of the Moyo watershed area. The direction of land cover change was dominated by Q2 in 2016, Q4 in 2017 and 2018, and Q2 and Q4 in 2019. These changes generally occurred in the Moyo watershed middle and downstream parts, which are grasslands. The use of the Conditional Change Vector Analysis (CCVA) approach in a tropical savanna environment can detect changes and the direction of change with an accuracy of about 70%.
Spatial and temporal distribution of estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed, West Java, Indonesia Yulianto, Fajar; Khomarudin, Muhammad Rokhis; Hermawan, Eddy; Nugroho, Nunung Puji; Chulafak, Galdita Aruba; Nugroho, Gatot; Nugroho, Udhi Catur; Suwarsono, Suwarsono; Fitriana, Hana Listi; Priyanto, Eko
Journal of Degraded and Mining Lands Management Vol. 9 No. 2 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2022.092.3293

Abstract

In Indonesia, flooding is one of the natural hazards that often occurs during the rainy season. Surface runoff coefficient values are an essential indicator of the supply of regional water resources. The smaller the surface runoff value, the greater the water storage in the ground, and the smaller surface was running water. This study analyses the spatial and temporal distribution of the estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed. The study area is located in the upstream Citarum watershed, West Java, Indonesia. The site has a long history of flooding and various complex environmental problems. The geographic Information System method was used as a tool in analyzing the spatially and temporally. The research result shows that there has been a change in land cover in several periods of the year in the Citarum upstream watershed. The occurrence of the LULC phenomenon positively affects the surface runoff coefficient. The increasing area of Built land and plantation in the Citarum upstream watershed will further increase the surface runoff coefficient and, in the end, will potentially increase the surface runoff and contribute to flooding in the Bandung basin. This study results can be used to provide input in determining the direction and policies for watershed management, taking into account the varying characteristics of each subwatershed.
The use of multi-sensor satellite imagery to analyze flood events and land cover changes using change detection and machine learning techniques in the Barito watershed Priyatna, Muhammad; Wijaya, Sastra Kusuma; Khomarudin, Muhammad Rokhis; Yulianto, Fajar; Nugroho, Gatot; Afgatiani, Pingkan Mayestika; Rarasati, Anisa; Hussein, Muhammad Arfin
Journal of Degraded and Mining Lands Management Vol. 10 No. 2 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.102.4073

Abstract

Indonesia is one of the countries in the world that is frequently affected by floods. Flood disasters can have various negative impacts and therefore need to be analyzed to determine prevention and mitigation measures. This study examined land cover change, flood detection, and flood distribution using multitemporal Sentinel-1 and Landsat-8 satellite imagery in the Barito watershed. A combination of change detection and the application of the Otsu algorithm was used to detect floodplains from Sentinel-1 imagery. Land use/land cover (LULC) changes are detected using a combination of change detection and machine learning in the form of a random forest algorithm. The overlay technique was used to analyze the distribution of floodplains. In this study, the floodplain in the study area was mapped to 109,623 ha. The change detection method detects a decrease in the areas of primary forest, secondary forest, fields, rice fields, shrubs and ponds, respectively, by 13,020 ha, 116,235 ha, 259 ha, 146,696 ha, 47,308 ha, and 9,601 ha. Settlements, bare land, plantations and water bodies increase by 14,879 ha, 64,830 ha, 218,916 ha, and 34,768 ha, respectively. Flooding was mainly found in the classes of rice fields, water bodies and primary forests.
Analysis of land use and spatial planning in the Upstream Citarum watershed of West Java based on remote sensing data Mukhoriyah, Mukhoriyah; Arifin, Samsul; Kushardono, Dony; Ardha, Mohammad; Yulianto, Fajar
Journal of Degraded and Mining Lands Management Vol. 10 No. 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4315

Abstract

The Upstream Citarum watershed has a critical essential role in maintaining the quality and quantity of its water resources, which are a source of drinking water, agriculture, fisheries, irrigation, and electricity generation. The upstream watershed acts as a water catchment area that contributes as a place to accommodate the availability of water, especially during the dry season, and also as a protector of the entire area, both downstream and middle, so that the carrying capacity of the ecological balance can be protected. The increasing total population was inversely related to the condition of land use which is decreasing in quality, so to fulfill these needs, there was a land conversion that caused changes in land use. The Landsat-8 satellite imagery, SPOT 7, and spatial planning maps were used to analyze the suitability and incompatibility of land use with spatial pattern plans, evaluation, and directions for controlling the use of space. The result of the most extensive existing land use in the Upstream Citarum watershed in 2021 used for fields is 30% of the total area of 66,831.66 ha. Meanwhile, the spatial pattern plan was classified into protected and cultivated areas. The built-up area has the largest area, 35% or 75,223.96 ha. The results of the suitability of land use classes obtained that the level of suitability between the existing land use and the spatial pattern plan from the Maps of Regional Spatial Planning with the appropriate class was 52.50% or 96,205.43 ha, and the unsuitable class was 47.50% or 87,028.75 ha.
Co-Authors Afgatiani, Pingkan Mayestika Airawati, Maria Noosa Any Zubaidah Ardha, Mohammad Atriyon Julzarika Chulafak, Galdita Aruba Darwista, Rofifatuz Zulfa Dipo Yudhatama, Dipo Dony Kushardono Eddy Hermawan Eko Priyanto Hana Listi Fitriana, Hana Listi Haniyah, Rizqi Hartarto Junaedi Hidayat Hidayat Hussein, Muhammad Arfin Ibnu Fauzi Khomarudin, Muhammad Rokhis Kusumaning Ayu DS, Kusumaning Ayu M Rokhis Khomarudin, M Rokhis Mardi Wibowo Marfiana, Andri Muh Aris Marfai Muhammad Priyatna, Muhammad Mukhoriyah, Mukhoriyah Nugroho, Gatot Nunung Puji Nugroho Nurwita Mustika Sari, Nurwita Mustika Parwati Parwati Parwati, Parwati Pascarini, Amanda Perdana, Dhedy Husada Fadjar Putri, Nofika Cahyani Rachman, Reno Arief Rarasati, Anisa Samsul Arifin Sastra Kusuma Wijaya Sayidah Sulma, Sayidah Suhadha, Argo Galih Suharyanto, Hamzah Haru Radityo Suhatati Tjandra Sukowati, Kusumaning Ayu Dyah Suprapto, Totok Suwarsono Suwarsono Suwarsono, S Taufik Maulana, Taufik Udhi Catur Nugroho, Udhi Catur Widagdo, Aloysius Bagyo Wikanti Asriningrum, Wikanti Yenni Vetrita, Yenni