Assessing land use/land cover change diversity and its relation with urban dispersion using Shannon Entropy in the Semarang Metropolitan Region, Indonesia

The intensity of development in coastal areas stimulates various potential issues such as flood disasters. This study aims to demonstrate the importance of latest methods and geospatial data as inputs for coastal spatial planning policies in efforts to reduce flood disaster risks. Leveraging spatial analysis with cloud computing through Google Earth Engine (GEE), this research assesses flood risk components—hazards, vulnerability, and capacity. The method involves processing SAR Sentinel-1 data to map flood inundation as a representation of hazards, analyzing Landsat and WorldPop data to evaluate vulnerability, and assessing capacity by utilizing VIIRS nighttime light level imagery to determine economic activities. The chosen research study location is the coastal area of Pekalongan due to frequent flood disasters throughout the year. The results demonstrate that cloud computing is capable of assessing flood risks. The flood inundation model using SAR data covers an area of 2,780 hectares with an accuracy of 96.75%. The analysis also reveals the highest vulnerability level, reaching 15.7% (946.32 hectares) of the total area. The capacity analysis indicates a medium to high level of 15% (913.6 hectares). The assessment of flood risks in the coastal area is dominated by the medium to very high-risk class, covering 43% (2,631.84 hectares) of the area. In conclusion, integrating cloud-based flood risk modeling into spatial planning is crucial, considering disaster resilience for sustainable human habitats.

Section: Introductionmentioning

confidence: 99%

Combining Landsat, VIIRS Night-time Light, and Sentinel-1 SAR for Spatial Flood Risk Assessment in Coastal Area: an Earth Engine Cloud Computing Process

Siddiq,

Sejati

2023

“…Apart from being caused by urbanization, the process of forming fast-growing district urban areas in Indonesia is caused by two things, the first is due to the influence of continuous and widening pressure from big/core cities adjacent to the district [10,[15][16][17]. The second cause is that urban district areas are developing from population growth and nonagricultural activities (real estate, industrial activities, and commercial activities) are developing from various rural service centers or other activity centers, both in the form of growth from activity centers and the process of merging two or more urban activity centers that have developed before [18,19]. An urban area can be classified as a small town if it has a population of 20,000-200,000 according to NUDS.…”

Section: Introductionmentioning

confidence: 99%

Spatial Development of Towns and Their Potential in Strengthening Rural-Urban Linkages in Kabupaten Semarang

Arsynindia,

Mardiansjah

2023

Contemporary urbanization process in Indonesia has been entering a regional-based process, which is indicated by the expansion of existing cities and the emergence of small towns in hinterland areas. Semarang Regency is a nonurban district that become hinterland area that is affected by urban extension from Semarang City. The urbanization process in Semarang Regency is characterized by the emergence of towns as urban areas on the outskirts of. This research aims to analyze the development of towns in Semarang Regency using GIS assistance and analyzing their potential in strengthening rural-urban linkages. In addition to GIS method, this research employs descriptive qualitative method. Data collected through document and literature review, which is enriched by primary data collection through observation and interviews. The analysis used descriptive qualitative analysis. To strengthen the argument, analysis is assisted by using scalogram, ISM, LQ, and spatial analysis in the form of network analysis. There are many towns developed in Semarang Regency that tend to be concentrated in the north-west area, adjacent to Semarang City. The development of these towns is supported by the development of public service facilities. In addition to be the public service centers, the towns have potential roles as, processing and marketing centers. However, there is only one town, Bandungan, which has the roles as a center for marketing and public services. Therefore, the regency needs to have facilities development in many towns in order to strengthen the towns’ roles in strengthening rural-urban linkages in the region.

“…Global warming has been serious issue and problem to human civilization nowadays and has to be considerations in environment management [1][2][3]. IPCC (Intergovernmental Panel Climate Change) estimates that earth average temperature will be increasing by 1,5 ˚C in 2030-2050 [4].…”

Section: Introductionmentioning

confidence: 99%

Capacity Assessment Spatialization to Disaster Risk Reduction in Semarang Coastal Area

Utomo

2023

Global warming be the one of threats to human civilization that has to be main considerations in environmental management. In addition, global warming is one of key driven factor of tidal flooding that affect many aspects in coastal area society. This study proposes to model capacity preparedness index of Semarang Metropolitan Coastal Area. The analysis divided by two substances, physical capacity and economy capacity. The examination and modelling of capacity preparedness level consider public health facilities availability, road network accessibility, and economy activity. The research uses quantitative methods and maximized the utilization of secondary data to capacity assessment. The findings show that capacity preparedness index of urban area is higher than its peri-urban. In total, Semarang Metropolitan Coastal Area have low-capacity preparedness level. There are only two sub-district which has high level capacity, Semarang Tengah and Semarang Utara. Otherwhile, there are three medium level capacity sub-districts and four low level capacity sub-districts. Those findings show that geospatial analysis can help people and government on how to understanding their capacity in dealing with disaster which cannot be predicted precisely.