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 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 ANALISIS VEGETASI DI TAMAN WISATA ALAM (TWA) SUNGAI DUMAI, RIAU

2021 ◽  
Vol 16 (1) ◽  
pp. 25-36
Author(s):  
Hanifah Ikhsani
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Vegetation Density ◽  
Vegetation Analysis ◽  
Landsat 8 Oli ◽  
Density Class ◽  
Vegetation Class ◽  
Do So

TWA Sungai Dumai is a tourist forest area and ensuring the preservation of natural potential. However, there are problems that can disrupt the sustainability of it, including forest and land fires and conversion of land use to agriculture and oil palm plantations. Until now, there is no vegetation analysis using satellite imagery in TWA Sungai Dumai, so it is important to do so that can be managed sustainably. This study  classification of vegetation density classes which are presented in the form of a vegetation density class map in it. This research uses Landsat-8 OLI / TIRS images from October 2017 and October 2020 which are processed to determine density class using Normalized Difference Vegetation Index algorithm. The vegetation density class with the highest area in 2017 was the vegetation density class (2380,832 ha or 66,819% of the total area), while the lowest area was the non-vegetation class (75,737 ha or 2,126% of the total area). The vegetation density class with the highest area in 2020 in TWA Sungai Dumai is dense vegetation density class (3205,039 ha or 89,950% of the total area), while the lowest area is non-vegetation class (1,637 ha or 0.046% of the total area)

scholarly journals CLASSIFYING AND MAPPING OF VEGETATED AREA IN AL- BAHA REGION, SAUDI ARABIA USING REMOTE SENSING. I. EXTENT AND DISTRIBUTION OF GROUND VEGETATED COVER CATEGORIES.

2020 ◽  
pp. 75-80
Author(s):  
Abdullah Saleh Al-Ghamdi
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Type ◽  
Regional Scale ◽  
Vegetation Indices ◽  
Vegetation Mapping ◽  
Primary Objective ◽  
High Density ◽  
Vegetation Density

Classifying and mapping vegetation is an important technical task for managing natural resources; the primary objective of the vegetation-mapping inventory is to produce high quality, standardized maps and associated data sets of vegetation. Satellite remote sensing has proven to be effective technology for mapping forest vegetation at the landscape to regional scale. In the remote sensing technique, vegetation density can be directly indicated by vegetation indices. Although there are several vegetation indices, the most widely used is the Normalized Difference Vegetation Index (NDVI), formulated by transforming raw satellite data into NDVI values, ranging from -1 to 1. NDVI enables the creation of images and other products that provide a rough measure of vegetation type, amount, and condition on land surfaces. The results show that medium to high density vegetation is mostly found in the central part of Al-Baha region separating the highlands and lowlands. The relationship study between NDVI and vegetation cover percentage in this study depicts an NDVI value of only 0.20–1.00, which indicates that vegetation covers over 60% of Al-Baha. This is probably because vegetation here may not only comprise trees but also other plant forms such as herbs and shrubs. However, only 862.5 km2 (7.7%) of Al-Baha is covered with medium-high density vegetation, found mainly at the 6 –15km width horizontal central belt (in the Al-Mandaq, Al-Baha, and south Baljurashi districts) along a high, foggy mountainous plateau. Conversely, about 65% of Al-Baha region has very low to no vegetation density; vegetation is found extensively in the Tihama low plain towards the Red Sea and in the north-eastern desert plain. This study has provided a comprehensive report on vegetation mapping in the Al-Baha region.

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 Integrating Multifunctionality Framework for Planning Emergency Open Public Spaces in High-Density Urban Areas: Lessons from COVID-19 Pandemic

2021 ◽  
Author(s):  
Guzin Yeliz Kahya ◽  
Aynaz Lotfata
Keyword(s):  
Public Schools ◽  
Public Space ◽  
Urban Areas ◽  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Environments ◽  
Emergency Planning ◽  
Public Facilities ◽  
New Research

Purpose This study aims to translate residents’ and local organizations’ responses to the COVID-19 pandemic restrictions into the emergency planning agenda of cities. The study underlines the multifunctionality of existing public facilities to raise urban flexibility, in particular, if there is a need to increase the open public space capacity of dense built-up urban areas in emergency conditions.Design/methodology/approachThe preliminary accessibility analysis was conducted using the public schools of Bahcelievler in Istanbul Metropolitan to study whether there are ways to improve open public space deficits in high-densely urban environments. In addition, the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-up Index (NDBI) were mapped using Remote Sensing to identify the existence of greenery and vacant lands for future interventions. The literature review on multifunctionality was applied to propagate the formulation of the research problems and identify the potential research idea. Findings The preliminary analysis’ results have shown that by including open public space of schools into public use about 96,740 m2 of open space will be added to the Bahcelievler District. In addition, this study conceptualizes a new research idea by inviting policymakers and planners to reinvent traditionally defined multifunctionality concepts in emergency planning of public facilities. This study suggested a guideline that underlines three spatial, temporal, and regulative aspects for the resident-based emergency planning of public facilities. Social implicationsThe multifunctionality of public facilities improves neighborhood walkability, supports mixed land uses as a critical component of achieving better places to live, and addresses the diversity of opportunities within the walking distance.Originality/valueThis study reinvents the multifunctionality concept and defines it in a way to boost urban flexibility in conditions of emergency.

scholarly journals Identifikasi Ketersediaan Ruang Terbuka Hijau Kecamatan Kramat Jati Kodya Jakarta Timur Menggunakan Citra Pleiades

2019 ◽  
Vol 16 (2) ◽  
pp. 158
Author(s):  
Mukhoriyah Mukhoriyah ◽  
Nurwita Mustika Sari ◽  
Maya Sharika ◽  
Lidya Nur Hanifati
Keyword(s):  
Land Use ◽  
Open Space ◽  
Vegetation Index ◽  
Green Space ◽  
Rapid Development ◽  
Image Data ◽  
Vegetation Density ◽  
Radiometric Correction ◽  
Key Word ◽  
Density Values

ABSTRACTThe development of big cities in Indonesia especially Jakarta City which is developing very rapidly is marked by the rapid development of physical development, thus affecting the increasing population and land use resulting in a decrease in the amount of vegetation cover. The main problem of the existence of Open Green Space (RTH) in Jakarta is the increasingly reduced / limited land and inconsistencies in implementing spatial planning. The reduced green space is caused by changes in land use that is relatively significant so that green space in Jakarta has not met the target of 30% of the total area, especially in the District of Kramatjati. The purpose of this study is to calculate the need for green space within a district. The method used is the initial data processing (radiometric correction, pancarrage, mosaic, cropping) and calculation of vegetation density values based on Normalized Defference Vegetation Index (NDVI). Based on the results of NDVI calculations using Pleiades Image Data in 2015, that in Kramat Jati Subdistrict there were 225.17 ha as vegetation areas, while 918.93 ha were non-vegetation areas. The results of the calculation are then divided into density levels, ie, a rare density of 48,595 ha, medium density of 34,446 ha, and high density of 160,609 ha. The conclusion obtained is that green open space in Kramat Jati Sub-district is planned to cover 12.38% of the entire Kramat Jati area. However, based on NDVI results, green open space in Kramatjati has reached 19.68% of the entire district area. And  terms of quantity, then the amount of green space has been fulfilled. Key Word : open green space (RTH), Normalized Defference Vegetation Index (NDVI), Pleiades Image ABSTRAKPerkembangan kota-kota besar di Indonesia khususnya Kota Jakarta yang berkembang dengan sangat pesat ditandai perkembangan pembangunan fisik yang cepat, Sehingga mempengaruhi semakin meningkatnya jumlah penduduk dan pemanfaatan lahan yang mengakibatkan berkurangnya jumlah tutupan vegetasi. Permasalahan utama keberadaan Ruang Terbuka Hijau (RTH) di Kota Jakarta adalah semakin berkurangnya/keterbatasan lahan dan ketidak konsisten dalam menerapkan tata ruang. Berkurangnya RTH disebabkan oleh perubahan penggunaan lahan yang relatif signifikan sehingga RTH Jakarta belum memenuhi target 30% dari total luas wilayahnya terutama di Kecamatan Kramatjati. Tujuan dari penelitian ini adalah untuk menghitung kebutuhan RTH dalam satu lingkup kecamatan. Metode yang digunakan adalah pengolahan data awal (koreksi radiometrik, pansharpen, mozaik, cropping) dan perhitungan nilai kerapatan vegetasi berdasarkan Normalized Defference Vegetation Indeks (NDVI). Berdasarkan hasil perhitungan NDVI dengan menggunakan data Citra Pleiades Tahun 2015, bahwa di Kecamatan Kramat Jati terdapat 225,17 ha merupakan daerah vegetasi, sedangkan 918,93 ha adalah daerah non vegetasi. Hasil perhitungan tersebut kemudian di bagi dalam tingkat kerapatan yaitu kerapatan jarang sebesar 48.595 ha, kerapatan menengah sebesar 34.446 ha, dan kerapatan tinggi sebesar 160.609 ha. Kesimpulan yang diperoleh adalah RTH di Kecamatan Kramat Jati direncanakan seluas 12,38 % dari seluruh wilayah Kramat Jati. Namun, berdasarkan hasil NDVI, RTH di Kramatjati sudah mencapai 19,68% dari seluruh luas kecamatan dan dari segi kuantitas, maka jumlah RTH telah terpenuhi.    Kata Kunci: Ruang Terbuka Hijau (RTH), Normalized Defference Vegetation Indeks (NDVI), Citra Pleiades

THE NORMALIZED DIFFERENCE VEGETATION INDEX AS AN INDICATOR OF DYNAMICS

2021 ◽  
Author(s):  
Haddad Amar ◽  
Beldjazia Amina ◽  
Kadi Zahia ◽  
Redjaimia Lilia ◽  
Rached-Kanouni Malika
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Climatic Factors ◽  
Mediterranean Ecosystems ◽  
Point Of View ◽  
Aleppo Pine ◽  
Landsat 8 ◽  
North East ◽  
The North ◽  
Pine Trees

Mediterranean ecosystems are considered particularly sensitive to climate change. Any change in climatic factors affects the structure and functioning of these ecosystems and has an influence on plant productivity. The main objective of this work is to characterize one of the Mediterranean ecosystems; the Chettaba forest massif (located in the North-East of Algeria) from a vegetation point of view and their link with monthly variations using Landsat 8 satellite images from five different dates (June 25, 2017, July 27, 2017, August 28, 2017, October 15, 2017). The comparison of NDVI values in Aleppo pine trees was performed using analysis of variance and the use of Friedman's non-parametric test. The Mann-Kendall statistical method was applied to the monthly distribution of NDVI values to detect any trends in the data over the study period. The statistical results of NDVI of Aleppo pine trees indicate that the maximum value is recorded in the month of June, while the lowest values are observed in the month of August where the species studied is exposed to periods of thermal stress.

scholarly journals Variations in Persistence and Regenerative Zones in Coastal Forests Triggered by Sea Level Rise and Storms

2019 ◽  
Vol 11 (17) ◽  
pp. 2019 ◽  
Author(s):  
Sergio Fagherazzi ◽  
Giovanna Nordio ◽  
Keila Munz ◽  
Daniele Catucci ◽  
William S. Kearney
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Forest Disturbance ◽  
Remote Sensing Data ◽  
Storm Events ◽  
Coastal Forests ◽  
The North ◽  
Significant Difference

Retreat of coastal forests in relation to sea level rise has been widely documented. Recent work indicates that coastal forests on the Delmarva Peninsula, United States, can be differentiated into persistence and regenerative zones as a function of sea-level rise and storm events. In the lower persistence zone trees cannot regenerate because of frequent flooding and high soil salinity. This study aims to verify the existence of these zones using spectral remote sensing data, and determine whether the effect of large storm events that cause damage to these forests can be detected from satellite images. Spectral analysis confirms a significant difference in average Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) values in the proposed persistence and regenerative zones. Both NDVI and NDWI indexes decrease after storms triggering a surge above 1.3 m with respect to the North American Vertical Datum of 1988 (NAVD88). NDWI values decrease more, suggesting that this index is better suited to detect the effect of hurricanes on coastal forests. In the regenerative zone, both NDVI and NDWI values recover three years after a storm, while in the persistence zone the NDVI and NDWI values keep decreasing, possibly due to sea level rise causing vegetation stress. As a result, the forest resilience to storms in the persistence zone is lower than in the regenerative zone. Our findings corroborate the ecological ratchet model of coastal forest disturbance.

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