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All Journal Journal of Degraded and Mining Lands Management International Journal of Remote Sensing and Earth Sciences (IJReSES)
Sayidah Sulma
Remote Sensing Application Center, LAPAN
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences

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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 Fajar Yulianto; Suwarsono Suwarsono; Sayidah Sulma
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 | Full PDF (4045.639 KB) | 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.
OBSERVING THE INUNDATED AREA USING LANDSAT-8 MULTITEMPORAL IMAGES AND DETERMINATION OF FLOOD-PRONE AREA IN BANDUNG BASIN Fajar Yulianto; NFn Suwarsono; Sayidah Sulma; Muhammad Rokhis Khomarudin
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 15, No 2 (2018)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2009.952 KB) | DOI: 10.30536/j.ijreses.2018.v15.a3074

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Flood is the most frequent hydro-meteorological disaster in Indonesia. Flood disasters in the Bandung basin result from increasing population density, especially in the Citarum riverbank area, accompanied by land use changes in upstream of the Citarum catchment area which has disrupted the river’s function. One of the basic issues that need to be investigated is which areas of the Bandung basin are prone to flooding. This study offers an effective and efficient method of mapping flood-prone areas based on flood events that have occurred in the past through the use of historical remote sensing image data. In this research, Landsat-8 imagery was used to observe the inundated area in the Bandung basin in the past (2014–2018) using an improved algorithm, the modified normalized water index (MNDWI). The results of the study show that MNDWI is the appropriate parameter to be used to detect flooded areas in the Bandung basin area that have heterogeneous land surface conditions. The flood-prone area was determined based on flood events for 2014 to 2018, identified as inundated areas in the images. The estimation of the flood-prone area in the Bandung basin is 11,886.87 ha. Most of the flood-prone areas are in the subdistricts of Rancaekek, Bojongsoang, Solokan Jeruk, Ciparay, Cileunyi, Bale Endah and Cikancung. This area geographically or naturally is a water habitat area. Therefore, if the area will be used for residential, this will have consequences that flood will always be a threat to the area. 
Co-Authors Fajar Yulianto Muhammad Rokhis Khomarudin NFn Suwarsono Suwarsono Suwarsono