scholarly journals Green open space analysis in West Binjai, North Sumatra

2021 ◽  
Vol 886 (1) ◽  
pp. 012095
Author(s):  
A Zaitunah ◽  
Samsuri ◽  
Rojula ◽  
A. Susilowati ◽  
D. Elfiati ◽  
...  
Keyword(s):  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Dense Medium ◽  
Vegetation Density ◽  
Open Spaces ◽  
River Bank ◽  
Dense Class ◽  
North Sumatra

Abstract West Binjai is a sub-district located in Binjai City, North Sumatra. Green Open Space is also part of the Binjai city’s planning scheme which has many benefits for the community and the environment. This research used Normalized Difference Vegetation Index (NDVI) analysis and NDVI value classification results in the distribution of vegetation density. Analysis of changes in vegetation density was carried out between 2015 and 2020 in West Binjai. The largest change in the area of vegetation density classes in the West Binjai between 2015 and 2020 was the increase in the area of the high dense class to 19.13%. The sub-district has green open spaces in the form of sub-district parks, public cemeteries, road green lane, river bank and private green open spaces. These green open spaces were in the low dense, medium, dense and high dense classes. There is a need for rearrangement of green open spaces, especially those within low dense class. Replanting trees are also essential to increase the quality of the green area. Improving the quality of green space will lead to the enhancement of quality of environment.

scholarly journals Vegetation density analysis using normalized difference vegetation index in East Jakarta, Indonesia

2021 ◽  
Vol 912 (1) ◽  
pp. 012053
Author(s):  
A Zaitunah ◽  
Samsuri ◽  
Y M H Marbun ◽  
A Susilowati ◽  
D Elfiati ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Open Space ◽  
Vegetation Index ◽  
Green Space ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Density ◽  
Entire Area ◽  
River Bank ◽  
Density Class ◽  
Dense Class

Abstract East Jakarta, which is included in the DKI Jakarta Province, continues to grow in population. As a result, the demand for settlement land increases. The presence of plants is critical for environmental equilibrium. The purpose of this study was to determine the vegetation density and its variations in East Jakarta year 2020. The method used the Normalized Difference Vegetation Index (NDVI) analysis and classification. In 2020, the highest NDVI value in East Jakarta was 0.1–0.2, covering 7,952.64 ha (43.07 %) of the entire area, while the lowest value was >0.6, covering 0.06 ha of the total area. The highest vegetation density class in East Jakarta was low dense class, accounting for 7,951.26 ha (43.06 percent) of the whole area, while the lowest density class was under high dense class accounted for 1,116.41 ha (6.04 percent) of the total area. In terms of green open space, there were a city park, a cemetery, a green lane on a road, and a river bank. The municipal park was classified as dense, while the rest were classified as medium dense. The presence of trees within the green space has aided in the area’s vegetation density. It also refers to the role of open green space in enhancing the community’s life and environment’s quality. The importance of educating and guiding the surrounding community about the benefits of vegetation or green open space, then replanting less vegetated land, as well as an integrated land use planning and implementation.The first section in your paper

scholarly journals Vegetation distribution analysis of green open space in Binjai Timur, North Sumatera Province using normalized difference vegetation index

2021 ◽  
Vol 918 (1) ◽  
pp. 012020
Author(s):  
A Zaitunah ◽  
Samsuri ◽  
N Hidayat
Keyword(s):  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Environments ◽  
High Density ◽  
Distribution Analysis ◽  
Vegetation Density ◽  
Open Spaces ◽  
Density Class ◽  
The North

Abstract As the city grows, more and more vegetated land is converted to non-vegetated land. This also occurred at Binjai, a city in the North Sumatera Province, Indonesia. The aim of this study was to examine the urban vegetation cover and its changes between 2015 and 2019. The research was carried out in Binjai Timur, which is one of Binjai’s sub-districts. The distribution of vegetation density was measured using the Normalized Difference Vegetation Index (NDVI) value classification. The decrease in the dense class to 10.08 percent was the most significant change in vegetation density class between 2015 and 2019. This was followed by an 8.87 percent increase in the high-density class. This indicates that there is an area with vegetation density increased from lower density to high density. The district has green open spaces in the form of a neighborhood park, cemetery, sub-district park, greenbelt along the road and river, and house yards, according to the field check. These green open spaces were located in low and medium-density areas. The findings suggest that planting trees in those locations and arrangement of vegetation within parks could improve its quality and function. For good quality of urban environments, it is optimizing the use of house yards as vegetated land and boosting green open space quality is required.

scholarly journals Vegetation Cover Change and Its Diversity in Urban Areas of Medan

2021 ◽  
Author(s):  
Anita Zaitunah ◽  
Samsuri ◽  
Fauziah Sahara
Keyword(s):  
Land Cover ◽  
Environmental Quality ◽  
Vegetation Cover ◽  
Urban Areas ◽  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Change Analysis ◽  
Vegetation Class

Abstract Vegetation plays an important role in maintaining the environmental quality of urban areas. Increase in population and development of cities has led to land conversion with lesser vegetated areas. Land cover change analysis in urban areas is needed, especially for urban regional planning with green open space consideration. This research was conducted to analyze urban vegetation cover and its changes in two sub-districts of Medan between the years 1999 and 2019. Normalized difference vegetation index (NDVI) and change analysis were conducted in the research. The diversity of plant within this areas was observed. The results showed changes in vegetation cover areas in the mentioned years. In 1999, most of the areas were under a highly dense vegetation class while in 2019, they were under a low-density vegetation class. This indicates a decrease in vegetation cover due to changes to non-vegetation cover or land cover areas with less vegetation. There are a diverse of plants within the area such as paddy, cassava, corn etc and also many tree species. It is recommended to optimize the land by replanting in the area with no or less vegetation to maintain the environmental quality.

scholarly journals Dinamika Suhu Permukaan dan Kerapatan Vegetasi di Kota Cirebon

2019 ◽  
Author(s):  
Moh. Dede ◽  
Millary Agung Widiawaty
Keyword(s):  
Air Temperature ◽  
Land Surface ◽  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Significant Negative Correlation ◽  
Landsat 8 ◽  
Vegetation Density ◽  
Vegetation Greenness ◽  
Industrial Estates

Increasing air temperature is the effects of global warming and vegetation reduced. In the urban area, significant increasing of air temperature rises urban heat island phenomenon which in the long term is able to change the microclimate. Estimation of land surface temperature (LST) and vegetation greenness are obtained from multi-temporal remote sensing satellite data. This study aims to analyze the dynamics of LST and vegetation greenness in Cirebon City. This study utilizes Landsat-5 TM and Landsat-8 OLI imagery data which are validated with MODIS data in 1998, 2008 and 2018. The LST value extracted using the radiative transfer equation, while vegetation density information is obtained by normalized difference vegetation index (NDVI). The interaction between LST and vegetation greenness is known through spatial correlation analysis. During 1998 to 2018, LST is increased of 1.18 oC, while high greenness vegetation area decreased reach 12.683 km2. This study also showed a significant negative correlation between LST and vegetation greenness in Cirebon City. The highest of LST distribution is concentrated in CBD, harbor, traffic jam zone, industrial estates, and terminals. Based on this study, the effort of LST management in the city needs the provision of green open space, green belt, and reforestation.

scholarly journals Detection of potential green open space area using landsat 8 satellite imagery

2021 ◽  
Vol 6 (1) ◽  
pp. 149-154
Author(s):  
Respati Wikantiyoso ◽  
Aditya Galih Sulaksono ◽  
Tonny Suhartono
Keyword(s):  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Land ◽  
Landsat 8 ◽  
Vegetation Density ◽  
City Development ◽  
Integrated Method ◽  
The Government ◽  
The City

Green city development policies have an essential role in improving the ecological functions of a municipality. According to Law 26/2007 on spatial planning, it contains provinsions for green open space which oblige the government to set aside 30% of the city as green open space. However, the main obstacle in providing green open space remains the limited availability of urban land. Therefore, efforts are needed to detect urban land that is available for use as green open space. The purpose of this study is to determine the initial description of the availability of green open space in Malang City. This study uses an integrated method of calculating the Normalized Difference Vegetation Index (NDVI) with land cover classification. NDVI analysis reveals the distribution value of vegetation density in Malang City. Based on NDVI analysis results, green open space requires medium and high density vegetation. In Malang City, only 2946.56 ha, or 26.60% of the city, meets these requirements. The availability of green open space in Malang City therefore does not meet minimum green open space requirements. This study's results suggest the need for additional policies aimed at providing green open space for Malang City.

scholarly journals Analysis of Land Cover Changing and Vegetation Index at Kuranji Watershed in Padang, West Sumatera, Indonesia

2019 ◽  
Vol 4 (4) ◽  
pp. 286-290
Author(s):  
Rifky Putera ◽  
Junaidi Junaidi ◽  
Ahmad Junaidi
Keyword(s):  
Land Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Density ◽  
Landsat Images ◽  
Sensing Technology ◽  
One Year ◽  
Dense Class ◽  
Topographic Condition

Various activities around Kuranji watershed included the land conversioncan be impacted to topographic condition and also contributed to altering the vegetation density. Remote sensing technology is an effective methodfor land cover mapping. The objectives of the present study were to analyze the changing of land cover and classifying the vegetation density index in the upstream Kuranji Watershed. This study was conducted at Kuranji Watershed in Padang, West Sumatera Province. Two Landsat images representing the changing of the watershed area during 2017 and 2018 as well as obtaining the classification of vegetation density during corresponding years.Landsat 8 OLI images were classified using a supervised classification technique, then computed the vegetation index using the Normalized Difference Vegetation Index (NDVI). The result showed that the extension of forest area, settlement area and paddy field (283.92; 35.06; and 27 Ha, respectively) and decline of mix dryland agriculture, shrub and garden area (93.68; 277.43; and 190.95 Ha respectively). Decreasing of dense vegetation found at lower dense class (6.47 Ha) and highest dense class (5535.35 Ha). Therefore, the increasing area found at the cloud, dense and higher dense class (93.17; 5525.1; and 109.94 Ha, respectively). So, it is highlighted that changing land cover and vegetation index happen during the only one-year period.

scholarly journals Penataan Kembali Ruang Terbuka Pada Kawasan Pantai Cermin Sebagai Tujuan Wisata Tepi Air

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Rahma Wardani Siregar ◽  
B O Y Marpaung
Keyword(s):  
Qualitative Methods ◽  
Open Space ◽  
Visual Quality ◽  
Open Spaces ◽  
Direct Observations ◽  
Tourism Destinations ◽  
Mirror Area ◽  
North Sumatra ◽  
Planning Concept

Kawasan Pantai Cermin merupakan salah satu kawasan tepi pantai yang terletak di Kabupaten Serdang Bedagai, Sumatera Utara. Dalam perkembangnya kawasan ini akan menjadi kawasan wisata tepi air yang ramai di kunjungi masyarakat dari berbagai daerah. Kondisi ruang terbuka yang ada di kawasan ini tidak dimanfaatkan sesuai fungsinya sebagai ruang rekreasi yang bertujuan untuk destinasi wisata tepi air. Sebagai wisata tepi air kawasan Pantai cermin sebaiknya memberikan ruang terbuka yang dapat dinikmati oleh pengunjung dari berbagai aspek. Penelitian ini akan menggunakan metode kualitatif yaitu dengan melakukan observasi langsung pada kawasan Pantai Cermin, lalu mengumpulkan data dan melakukan analisa perencanaan. Hasil dari anlisa akan memberikan solusi dalam penataan kembali ruang terbuka di kawasan Pantai Cermin. Konsep perencanaan tersebut dengan menekankan nilai ruang terbuka yang aman, nyaman dan dapat dinikmati oleh pengunjung wisatawan. Ruang terbuka tersebut juga harus memberikan dampak baik secara visual maupun kebutuhan. Sehingga Kawasan tepi air pantai cermin menetapkan beberapa lokasi untuk ruang terbuka yang dapat dinikmati oleh semua kalangan pengunjung, dengan menata jalur promenade, boardwalk dan jalan setapak yang representatif sehingga meningkatkan kualitas visual pada kawasan, serta menata taman, alun-alun, serta plaza yang lengkap dengan desain lasekap sehingga dapat dinikmati semua kalayangan pengunjung.   The Cermin Beach area is one of the coastal areas located in Serdang Bedagai Regency, North Sumatra. In the development of this area will be a waterfront tourist area that is crowded by people from various regions. The condition of open space in this area is not utilized according to its function as a recreational space which aims for waterfront tourism destinations. As a waterfront tourism mirror area, it should provide open space that can be enjoyed by visitors from various aspects. This study will use qualitative methods, namely by conducting direct observations on the Pantai Cermin area, then collecting data and conducting planning analysis. The results of the analysis will provide a solution in realigning open space in the Cermin Beach area. The planning concept emphasizes the value of open space that is safe, comfortable and can be enjoyed by tourist visitors. The open space must also have an impact both visually and in need. So that the mirror beach waterfront area establishes several locations for open spaces that can be enjoyed by all visitors, by arranging a representative promenade, boardwalk and pathway so as to enhance the visual quality of the area, as well as arranging a complete garden, square and plaza. with a lasekap design so that it can be enjoyed by all visitors.

scholarly journals THE UTILIZATION OF REMOTE SENSING DATA TO SUPPORT GREEN OPEN SPACE MAPPING IN JAKARTA, INDONESIA

2019 ◽  
Vol 15 (2) ◽  
pp. 199
Author(s):  
Hana Listi Fitriana ◽  
Sayidah Sulma ◽  
Nur Febrianti ◽  
Jalu Tejo Nugroho ◽  
Nanik Suryo Haryani
Keyword(s):  
Remote Sensing ◽  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Index Method ◽  
Multispectral Data ◽  
Sensing Data

Green open space becomes critical in maintaining the balance of the environment and improving the quality of urban living for a healthy life. The use of remote sensing data for calculation of green open space has been done notably using NDVI (Normalized Difference Vegetation Index) method from Landsat 8 and SPOT data. This research aims to calculate the accuracy of the green open space classification from multispectral data of Landsat 8 and SPOT 6 using the NDVI methods. Green open space could be assessed from the value NDVI. The value of NDVI generated from Landsat 8 and SPOT 6’s Red and NIR channels. The accuracy of NDVI values is then examined by comparing with Pleiades data. Pleiades data which has 50 cm panchromatic resolution and 2 m multispectral with 4 bands (B, G, R, NIR) can precisely visualize objects. So, it can be used as the reference in the calculation of the green open space based on NDVI. The results of the accuracy testing of Landsat 8 and SPOT 6 image could be used to identify the green open space by using NDVI SPOT of 6 can increase the accuracy of 5.36% from Landsat 8.

scholarly journals Cloud Computation Using High-Resolution Images for Improving the SDG Indicator on Open Spaces

2020 ◽  
Vol 12 (7) ◽  
pp. 1144
Author(s):  
Rosa Aguilar ◽  
Monika Kuffer
Keyword(s):  
High Resolution ◽  
Open Space ◽  
Local Planning ◽  
Open Spaces ◽  
High Resolution Imagery ◽  
Coarse Spatial Resolution ◽  
Multi Temporal ◽  
High Resolution Images ◽  
Cloud Computation

Open spaces are essential for promoting quality of life in cities. However, accelerated urban growth, in particular in cities of the global South, is reducing the often already limited amount of open spaces with access to citizens. The importance of open spaces is promoted by SDG indicator 11.7.1; however, data on this indicator are not readily available, neither globally nor at the metropolitan scale in support of local planning, health and environmental policies. Existing global datasets on built-up areas omit many open spaces due to the coarse spatial resolution of input imagery. Our study presents a novel cloud computation-based method to map open spaces by accessing the multi-temporal high-resolution imagery repository of Planet. We illustrate the benefits of our proposed method for mapping the dynamics and spatial patterns of open spaces for the city of Kampala, Uganda, achieving a classification accuracy of up to 88% for classes used by the Global Human Settlement Layer (GHSL). Results show that open spaces in the Kampala metropolitan area are continuously decreasing, resulting in a loss of open space per capita of approximately 125 m2 within eight years.

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