scholarly journals Landsat 8 Imagery Utilization to Spatial Analysis of Rehabilitation and Reconstruction of Palu Disaster in 2018

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Westi Utami ◽  
Yuli Ardianto Wibowo ◽  
Fajar Buyung Permadi ◽  
Wasyilatul Jannah
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Landsat Imagery ◽  
Landsat 8 ◽  
Image Study ◽  
Reconstruction Process ◽  
Urban Village ◽  
Before And After ◽  
The Government ◽  
Post Disaster

Rehabilitation and reconstruction as a post-disaster stage becomes an important part in the disaster management cycle. Post-disaster as a moment that can be used to rebuild a better life order must be optimized in its implementation. This study was conducted using a spatial approach through the use of multitemporalremote sensing satellite imagery in Palu region. The data used in this study are Landsat 8 images in March 2018, Landsat 8 in November 2018 and Landsat 8 in March 2019. The research method is carried out through spatial analysis by supervised classification which is the maximum likelihood algorithm for classifying land use. The analysis was conducted by supervising classification to classify the existing conditions of land use. The research indicates that the locations of residential development are determined by the Government which are located inthe urban village of Tondo, sub-district of Mantkulore and urban village of Duyu, sub-district of West Palu, Palu City district; and they have considered the aspect of disaster vulnerability and land availability. The analysis of Landsat imagery shows that in this area, the rehabilitation and reconstruction process is ongoing. By theanalysis, it is discovered that there are changes in land-use before and after the disaster. In November 2018, there was a decrease of 56.4 hectares of built land in the village of Tondo and 17.76 hectares in village of Duyu. While, the results of the Landsat 8 image study in March 2019 shows that there are increases in these two regions.

Prediksi Perubahan Lahan Terbangun Dengan OBIA LCM Pada Citra Terfusi di Kota Kendari

2021 ◽  
Vol 5 (2) ◽  
pp. 170
Author(s):  
Adnan Adnan ◽  
Fitra Saleh ◽  
Iradat Salihin
Keyword(s):  
Land Use ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Landsat 8 ◽  
Land Change ◽  
Land Use Classification ◽  
Landsat 8 Oli ◽  
Land Change Modeler ◽  
Two Factors ◽  
Land Changes

Abstrak: Penggunaan lahan disetiap tahunnya akan mengalami perubahan. Perkembangan tersebut bisa jadi tidak terkendali, sehingga perencanaan prediksi perubahan lahan penting untuk dikaji. Dalam memprediksi dapat dilakukan dengan menggunakan citra, khususnya citra Landsat. Penelitian ini bertujuan untuk: (1) distribusi penggunaan lahan terbangun di Kota Kendari pada tahun 2014 dan 2019 dengan metode OBIA pada citra terfusi; (2) melihat arah perubahan penggunaan lahan terbangun di Kota Kendari pada tahun 2024 dan 2029 dengan metode Land Change Modeler (LCM). Metode yang digunakan dalam penelitian ini  yaitu metode klasifikasi penggunaan lahan berbasis piksel OBIA dan pemodelan prediksi perubahan penggunaan lahan Land Change Modeler (LCM). Hasil penelitian ini antara lain: (1) luas lahan terbangun pada tahun 2014 di Kota Kendari seluas 6.061,85 hektar dan luas penggunaan lahan terbangun di Kota Kendari pada tahun 2019 seluas 6.716,96 hektar dengan perubahan penggunaan lahan terbangun tahun 2014 sampai dengan tahun 2019 dengan pertambahan luas 2,43%; (2) Arah perubahan penggunaan lahan terbangun di Kota Kendari diprediksikan cenderung berkembang ke arah Kecamatan Baruga karena dipengaruhi oleh dua faktor yaitu kemiringan lereng dan jaringan jalan. Kata Kunci : Penggunaan Lahan, Landsat 8 OLI, Penajaman Citra, OBIA, LCM Abstract: Land use will change every year. The development may be uncontrollable, so predictive planning of land changes is important to review. In predicting  can be done using  imagery, especially Landsat imagery. This study aims to:(1)  the distribution of land  use  built  in Kendari City in 2014 and 2019 with OBIA method on diffusion imagery; (2) see the direction of land use changes built in Kendari City in  2024 and 2029 with land change modeler  (LCM) method. The methods used in this study are OBIA pixel-based land  use  classification method and land use change prediction modeling land change modeler (LCM).  The results of this study include: (1) land area  built in 2014 in Kendari City aswide as 6,061.85 hectars and land use area built in Kendari City in 2019 aswide as 6,716.96 hectars with land use changes built in 2014 to 2019 with an increase  of  2.43%; (2) The direction of land use changes built in Kendari City  is predicted   to tend to  develop  towards  Baruga Subdistrict because it is influenced by two factors, namely slope and road network. Keywords: Land Use,  Landsat 8 OLI,  Image Sharpening,  OBIA, LCM

scholarly journals Spatial Distribution of Leptospirosis and Land Use in Bantul District, 2010-2018

2020 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Nur Lathifah Syakbanah
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
Environmental Changes ◽  
Distribution Patterns ◽  
Effective Control ◽  
Residential Areas ◽  
Populations At Risk ◽  
Surveillance Programs ◽  
The Government

Land use is an important environmental factor in the dynamics of human health. In the case of leptospirosis, environmental transmission cycles are caused by rat transition, environmental changes and populations at risk. Utilization of GIS-based spatial analysis may help detecting distribution patterns of leptospirosis cases, allocating resources and planning effective control and surveillance programs in endemic areas. This study aims to analyze the spatial distribution of leptospirosis based on land use and stream flow in Bantul District, 2010-2018. This ecological study was conducted in Bantul District, Yogyakarta for 9 years. Spatial analysis overlays processed data on leptospirosis cases per village and land use maps of 2016 using QGIS 3.0. Spatial distribution of 12 of high leptospirosis villages (18-35 cases) are in residential areas, tributaries, croplands, irrigated fields, rain-fed rice fields, and plantations. Those villages was crossed by major river basin which is potentially as transmission media of leptospirosis cases after heavy rainfall. It is suggested to increase the Early Awareness and Alert (EAA) system by active surveillance of early case finding from the government and endemic villagers.

scholarly journals Collaborative Governance in the Management of Integrated Community Shelters Post Disaster (ICS) in the City of Palu

2020 ◽  
Vol 5 (2) ◽  
pp. 229-242
Author(s):  
Daswati Daswati ◽  
Muhammad Ahsan Samad ◽  
Ismail Suardi Wekke
Keyword(s):  
Collaborative Governance ◽  
Coordination Pattern ◽  
Reconstruction Process ◽  
State Management ◽  
Humanitarian Organizations ◽  
Humanitarian Mission ◽  
The Government ◽  
Post War ◽  
The City ◽  
Post Disaster

This article tells the involvement of humanitarian organizations in the post-war reconstruction process of disaster in the city of Palu, Sigi and Donggala Regencies. The presence of humanitarian organizations is urgently needed to help the process of acceleration of reconstruction. In carrying out its humanitarian mission, it is expected that these institutions are coordinated by the authority of the government/state. Management of Integrated Community Shelter expected able to help the process of reconstruction post disaster apparently also still constrained in the pattern of coordination. Coordination pattern which is less likely to occur in delivering open and funneling aid to victims. this paper found that the existence of the weakness of the State in controlling and embody the humanitarian agency's involvement in the process of reconstructions. Collaborative approach to governance in the management of Integrated Community Shelter appears as an alternative solution in the answer to these problems.

scholarly journals GIS-Based Assessment of Habitat Networks for Conservation Planning in Kas-Kekova Protected Area (Turkey)

2020 ◽  
Vol 9 (2) ◽  
pp. 91
Author(s):  
Dilek Tezel ◽  
Saban Inam ◽  
Sultan Kocaman
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Land Use Planning ◽  
Protected Area ◽  
Conservation Strategies ◽  
Biodiversity Data ◽  
Expert Opinions ◽  
Habitat Networks ◽  
The Government ◽  
Sustainable Conservation

The determination of protected area (PA) boundaries and the level of restrictions is very important for sustainable conservation, and such decisions must involve biodiversity data and assessment. In a PA, the consensus of the government and the locals is crucial to ensure protection–use balance. The PA restrictions constrain legal human activities, and the boundary determination and the restrictions should be based on various scientific analyses to achieve consensus. In this study, a GIS-based approach is proposed to utilize the biodiversity data for efficient conservation and land use planning in Kas-Kekova PA, which is among the most important PAs in Turkey. Spatial analysis methods, i.e., kernel density estimation, natural breaks classification and integrated density index, were performed for the assessment of the habitat networks using georeferenced biodiversity datasets, and the results were evaluated with respect to the actual land use data and the land ownership pattern. The developed spatial analysis approach is efficient to produce the conservation base maps required for regional land use planning, for defining sustainable conservation strategies, and to provide a widely accepted base for land use planning and biodiversity monitoring in the PA; although careful investigations and expert opinions are still required for data deficient areas.

scholarly journals Landsat-8 vs. Sentinel-2: Landuse Landcover Change Analysis and Differences in Gudur Municipality

2021 ◽  
Vol 9 (VI) ◽  
pp. 160-166
Author(s):  
R. Sanjeeva Reddy
Keyword(s):  
Land Use ◽  
Spatial Resolution ◽  
Landsat Imagery ◽  
European Space Agency ◽  
Landsat 8 ◽  
Landsat Data ◽  
Red Edge ◽  
Edge Band ◽  
Sentinel 2

With the recent free availability of moderate to high spatial resolution data (10m-30m), land use analysis became more robust. The launch of Sentinel-2a by the European Space Agency, coupled with the availability of free Landsat data, availed more analysis capabilities for the science community with a wide variety of temporal, spatial, and spectral capabilities. This study compares the synergetic use of Landsat and Sentinel-2 in mapping Land Use Land cover themes in Gudur, explicitly utilizing the red edge band of Sentinel-2. A combination of both sentinel and Landsat data results in higher spatial resolution. Classification of the red edge band produces better resolution than the classification of Landsat Imagery.

scholarly journals Surface Runoff Management Model of Bandung Regency Through Remote Sensing Analysis

2021 ◽  
Vol 21 (2) ◽  
pp. 123-134
Author(s):  
Dede Sugandi ◽  
Riki Ridwana ◽  
Arif Ismail ◽  
Jalu Rafli Ismail ◽  
Rafi'i Diva Sephana
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Experimental Method ◽  
Surface Runoff ◽  
Landsat Imagery ◽  
Management Model ◽  
Landsat 8 ◽  
Well Model ◽  
Rainfall Volume ◽  
House Building

Flood is caused by surface runoff, therefore controlling the surface runoff is necessary especially on built areas. The aim of this research is to analyze the width, calculating the volume of surface runoff and analyze the model of infiltration wells on built areas in Bandung Regency. The methods implemented in this research is experimental method. This method was carried while analyzing rainfall on built areas samples, which is house building. The land use was analyzed through Landsat 8 imagery in the year of 2019. Rainfall volume was calculated by equation V = h x l. Meanwhile the volume of infiltration well was calculated by equation V = h x k. The result of 2019 Landsat imagery analysis shows that 19.01% of total watersheds in Bandung Regency or as much as 1382.13 km2 is the built areas. The highest rainfall in total of 0.02431 m occurred in October on the area of 197.67 m2 and became a surface runoff of 377,534 m3. In a house building, as built area example, as wide as 90 m3, the amount of 2.19 m3 rainwater needed to be infiltrated. Infiltration well model is a management model on each built areas, so that rainwater on built areas would not be turned into a surface runoff.

scholarly journals LANDCOVER CHANGES IN COASTAL BUNGUS REGION OF KABUNG BAY, WEST SUMATRA FROM 200-2013 BASED ON GEOGRAPHIC INFORMATION SYSTEM APPLICATION

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Yulius Yulius ◽  
T A Tanto ◽  
M Ramdhan ◽  
A Putra ◽  
H L Salim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Population Increase ◽  
Landsat 8 ◽  
West Sumatra ◽  
Landsat 7 ◽  
Southern City ◽  
Growing Region

ABSTRACT Bungus district of Kabung Bay is a growing region located at coastal zone of southern city of Padang, west sumatra. As a growing region, the Bungus district brings some impacts on population increase and degradation of environment quality. Therefore, it is needed an effort to identify land use changes and the distribution of land use in this region from the year of 2003 until 2013. This research used landsat 7 imagery in 2003 and landsat 8 imagery in 2013. The data were analysed descriptively using geographical informastion system. The result showd that (1) swamp land cover experienced the smallest land use change between 2003 until 2013 (0.02 ha/yr), meanwhile forest land use had the biggest change of about 224.8 ha/yr. The biggest addition of land cover belong to settlement area about 47.59 hectare, and the other hand occur on bush about -31.68 hectare. Keywords: Bungus district, landcover changes, Landsat imagery, GIS

scholarly journals Applying Spatial Analysis in Supporting Tourism Planning Concept of Jepara Regency, Indonesia

2021 ◽  
Vol 887 (1) ◽  
pp. 012027
Author(s):  
H. B. Wijaya ◽  
B. Pigawati
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Spatial Analysis ◽  
Tourism Development ◽  
Decision Making Process ◽  
Tourism Planning ◽  
Development Plans ◽  
The Government ◽  
Development Center ◽  
Planning Concept

Abstract This paper aims to analyze the decision-making process in determining the location of the tourism development center in Jepara district through spatial analysis using GIS. The method applied is map superimpose from several categories such as slope, rainfall, existing land use, and soil type. Another analysis carried out is network analysis with GIS to determine the level of accessibility of tourism locations. From the results of this analysis, alternative tourist locations were obtained as one of the supporting tourism development plans in Jepara Regency. With this result, it is easier for the government to determine the priority of development locations with visualization and location accuracy in accordance with tourism area standards.

scholarly journals Suitability of Post-Disaster Coastal Land Cover with Spatial Pattern Plan of Palu City

2021 ◽  
Vol 940 (1) ◽  
pp. 012004
Author(s):  
R R Wirawan ◽  
H S Hasibuan ◽  
R P Tambunan
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Land Cover ◽  
Population Growth ◽  
Natural Disasters ◽  
Spatial Planning ◽  
Permanent Housing ◽  
Coastal Land ◽  
Post Disaster ◽  
Spatial Plan

Abstract The population growth in Palu City has implications for increasing the need for developed land, especially after complex natural disasters in 2018. After these disasters, another impact was the need for the construction of temporary and permanent housing. Therefore, it is essential to adjust the land use with disaster-prone zones. This study aims to analyze the distribution of land cover in the Disaster-Prone Zone and the suitability of the Spatial Plan with the Disaster-Prone Zone. The method used is quantitative through spatial analysis using ArcGIS 10.5 software. The results showed that Disaster Prone Zone 2 is the most dominating zone in both the type of built-up land cover and vegetation so that it still had development opportunities. However, the suitability of the Spatial Planning with Disaster Prone Zone shows that Disaster Prone Zone 4 is still included in the spatial plan as a developed area.

scholarly journals Settlement Suitability Analysis Based on the Catastrophic Eruption of Sinabung

2021 ◽  
Vol 884 (1) ◽  
pp. 012056
Author(s):  
W Utami ◽  
A Rahmat ◽  
BH Sialagan ◽  
S Exaudia ◽  
AL Turnip
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Spatial Planning ◽  
Active Volcano ◽  
Safe Zone ◽  
Suitability Analysis ◽  
Community Activities ◽  
Suitability Map ◽  
Long Time ◽  
The Government

Abstract Mount Sinabung is an active volcano after being 'dormant' for a long time since the 1600s. Sinabung has begun to show its activities from 2010 to 2020, so that it has a long impact on community activities, damage to settlements, agricultural and threats to the lives of residents around Sinabung. This study aims to determine the conditions of land use in disaster-prone areas in relation to spatial patterns and levels of disaster prone. The research method is carried out through spatial analysis by overlaying the land use map with the spatial planning map to produce a land use suitability map. The spatial pattern suitability map is overlaid with a disaster hazard map to determine the level of security in settlements. The results showed that 5 affected Districts, namely in the Districts of Naman Teran, Payung, Simpang Empat, Tiganderket, Munte, the safe zone was 145.66 hectares, the less safe zone was 0.98 hectares, the unsafe zone was 36.91 hectares and the very insecure zone was 1.25 hectares. It is hoped that the spatial analysis regarding the distribution of safe locations for settlements is expected to become a policy material for the government to formulate arrangements for the use and utilization of space so that the spatial planning policies that are established are in line with efforts to reduce the risk of the eruption of Mount Sinabung disaster.

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