Land use change in urban areas could not be avoided as consequence of land requirement incensement. The high density of developed land in the central city have pushed the development towards the periphery. This article examines the result of Landsat image analysis using remote sensing (RS) and geographic information system (GIS) technology to monitor green open spaces change to temperature changes in Semarang. Data source which used in this study are Landsat 5 Image in 2003, and Landsat 8 Image in 2015. This uses multispectral classification method with a supervised approach to get land use condition serially (time series). Surface temperature processed based on radiance value in band 6 of Landsat 5 and the value in band 10 and 11 of Landsat 8 TIRS. Temperature changes were seen quite significant in the west side of Semarang City, include Ngaliyan District, Mijen District and Gunungpati District. The change occurs in an average range of 20.75 0 C to 22.07 0 C. Along with the temperature changes, based on image analysis result showed that green open spaces in all of three districts were decreased from 48.75 km2 to 22.98km2. In general, the green open spaces change throughout Semarang City from 15.28% to 9.91% within a period of 12 years (2003-2015).
Rawapening Lake has specific biogeophysical form, biodiversity potential and socioeconomic also ecological functions which are very important for people's lives and the surrounding environment. Even so, the facts showed that the activities of the population around Rawapening are growing so that problems arise in the form of environmental degradation that has continued to the present. This study aims to determine the development of land cover in the Rawapening River catchment starting from 2000, 2010 and 2019 on the sedimentation rate that occurred in Rawapening Lake. This study applies a Spatialecological approach by using multi-temporal remote sensing image data accompanied by field surveys and secondary data from related agencies. The tools used in this study are image processing software and Global Positioning System (GPS), while the data used utilizes RBI maps, Landsat 7 Satellite Images in 2010 and Landsat 8 in 2019. The results showed an increase in the area of developed land by 1,520.54 ha in the period 2000 -2010 and experienced an increase again in 2019 amounting to 1,330.96 ha. The increase in the area of land developed was due to land conversion, which was largely derived from vegetation cover in the water catchment area (DTA) of Rawapening, where the impact caused by the change in land cover increased the rate of sedimentation that occurred in Rawapening Lake. Therefore, it is necessary to limit the transfer of land functions in the DTA of Rawapening so that it does not cause siltation in Rawapening Lake in the future.
Mangkang Kulon Subdistrict is one of the coastal areas in Semarang that has relatively dynamic conditions, which seen from the coastline and mangrove ecosystem changes within several years of observation. This study aims to observe coastline changes and the spatial distribution of mangrove ecosystems on the coast of Mangkang Kulon Subdistrict between 2005, 2012 and 2019. Land use n were obtained from visual interpretation of high-resolution digital globe satellite images from 2005, 2012, and 2019 which then tested the accuracy of land use interpretation through field observation and overlaid one another through vector analysis to find out the changes that have occurred. The study showed that the coastline changes were increasingly jutting towards the land in this range of time. This condition is affected by the port construction on the east coast of the Kendal Regency, which directly adjacent to the Mangkang Kulon Subdistrict. Meanwhile, the mangrove ecosystem has increased widely with relatively elongated and grouped spatial patterns. The increase that occurred as a manifestation of various coastal care activities in the form of mangrove planting activities carried out by several government agencies and private parties with a model of coastal community empowerment.
Purpose The purpose of this paper is to assess the land utilization in the erosion and landslide vulnerable mountainous region using the Rapid Appraisal for Agricultural Land Utilization (RApALU) model. Design/methodology/approach A multidimensional RApALU model is used for sustainable agriculture land utilization. Findings Ecological dimension was less sustainable, whereas socio-economic, socio-cultural, and eco-technological dimensions were comparatively more sustainable. It was found from the analysis that 9 out of 21 attributes have sensitive effect on the sustainability index and status. Practical implications One of the implications of this research is that this model could be used to quickly measure the arrangement of an area that is experiencing environmental problems so that the land use planning process could be done more effectively and efficiently. The parameters used in each variable could be chosen by the researchers themselves according to location. As far as known by the researcher, the methods used have not been well integrated, they are still separated, for example, only physical problems, and social problems have not been measured properly. This model is not perfect yet, and it could be developed further because environmental problems are very complex and could be different from one location to another. Originality/value RApALU analysis can be used as preliminary analysis to comprehend general and overall description on the status of the sustainability index of land utilization for agriculture in hilly mountainous regions. The study confirmed that RApALU analysis can help determine the status of the sustainability of land utilization in intricate areas. This technique was able to comprehensively identify important factors affecting sustainability status of various dimensions.
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