scholarly journals THE DEVELOPMENT OF PORONG ESTUARY

2016 ◽  
Vol 23 (1) ◽  
pp. 40
Author(s):  
Undang Hernawan
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Field Survey ◽  
Image Data ◽  
Data Interpretation ◽  
Main Stream ◽  
Muddy Sediment ◽  
Current Development ◽  
Minor Influence ◽  
Coastal Dynamic

Coastal zone is an area of interaction between the land and the sea. Coastal dynamic is influenced by many factors, such as sedimentation and current. Development of an area in the coastal zone such as estuary is also influenced by suck factors. Development of porong estuary is analyzed by interpretation of Image data, i.e. Landsat TM data that acquired in July, 29th 1975, August, 17th 1994, August, 17th 2000, May, 19th 2002 and Quickbird imagery that acquired in April, 25th 2008. Field survey has been done on April 2008. Based on data interpretation, there are accretion and abrasion in this area. The accretion in the southern part of Porong estuary between 1975 – 2008 is about 33.15 km or about 3.15 km/year equivalent to 1,492.29 Ha. The abrasion area in the northern part of Porong estuary in 33 years since 1975 till 2008 is around 0.5 km or aproximately 15.15 m/year equivalent to 222.45 Ha of wide or 6.802 Ha/year. Development of Porong delta, especially in the southern part of Porong estuary, is caused by change of pattern and main stream of Porong River from the noth to the south. This river delivered large volume of sediments and precipated at this area without or minor influence from the sea. Porong delta is a fluvial delta. Coastal characteristic is mangrove, muddy sediment and locally is sand sediment. Land use in this area is fish pond and mangrove. Key words: Porong estuary, Satellite imagery Pantai/pesisir merupakan wilayah antara daratan dan lautan yang masih dipengaruhi oleh keduanya. Dinamika pantai akan dipengaruhi oleh faktor-faktor dari daratan seperti sedimentasi dan faktor dari lautan seperti arus. Demikian halnya perkembangan suatu daerah di pesisir, seperti daerah muara, dipengaruhi oleh daratan dan lautan. Perkembangan muara Porong dianalisis berdasarkan interpretasi citra satelit, yaitu Landsat hasil perekaman 29 Juli 1975, 17 Agustus 1994, 17 Agustus 2004, 19 Mei 2002 dan citra Quickbird perekaman 25 April 2008. Survey lapangan dilaksanakan pada bulan April 2008. Berdasarkan interpretasi citra, ditemukan daerah akresi dan abrasi pada daerah penelitian. Daerah akresi ditemukan di bagian selatan daerah penelitian yaitu sekitar 33.15 km selama 1975–2008 atau sekitar 3.15 km/tahun dengan luasan sekitar 1,492.29 Ha. Daerah abrasi umumnya terdapat di muara Kali Porong sebelah utara, yaitu sejauh 0.5 km selama 33 tahun atau kira-kira 15.15 m/tahun dengan luasan 222.45 Ha atau sekitar 6.802 Ha/tahun. Perkembangan muara dan delta Porong, terutama di muara sebelah selatan, diperkirakan karena adanya perubahan arah utama Sungai Porong, yang berubah dari arah utara kea rah selatan. Aliran sungai ini membawa banyak sedimen dan diendapkan pada daerah ini, karena tiada atau kurangnya pengaruh dari laut. Delta Porong termasuk kawasan delta fluvial. Karakteristik daerah pantai umumnya berlumpur dengan setempat berupa pasir. Penggunaan lahan pada daerah ini umumnya berupa tambak dan mangrove. Kata Kunci : Delta Porong, citra Satelit

scholarly journals USLE Estimation for Potential Erosion at Wae Heru Watershed and Wae Tonahitu Watershed, Ambon Island, Indonesia

2017 ◽  
Vol 48 (2) ◽  
pp. 191 ◽  
Author(s):  
Halvina Grasela Saiya ◽  
Suprapto Dibyosaputro ◽  
Sigit Herumurti Budi Santosa
Keyword(s):  
Land Use ◽  
Data Collection ◽  
Data Processing ◽  
Satellite Imagery ◽  
Field Survey ◽  
Secondary Data ◽  
Data Interpretation ◽  
Rainfall Data ◽  
Sand Mining ◽  
Open Land

Abstract Calculate the potential erosion at Wae Heru and Wae Tonahitu Watershed aims to map and assess the potential erosion, in order to be a scientific consideration for exploration and development. The method is a field survey to determine the forms of land use and other forms of conservation efforts; secondary data collection, i.e. soil data, rainfall data, slopes data and data interpretation from Geo Eye satellite imagery in 2012. Further data processing used USLE formula with ArcGIS program. The results showed that the potential erosion of Wae Heru Watershed and Wae Tonahitu Watershed are in very light potential class. This is because the conditions in the upstream are still forested largely. However, at the downstream potential for erosion is vary, i.e. light class, moderate class, heavy class and very heavy class. This is because the conditions in the downstream undergo conversion into settlement, moor, garden, open land and sand mining. Abstrak Menghitung potensi erosi di Wae Heru dan Wae Tonahitu Daerah Aliran Sungai bertujuan untuk memetakan dan menilai potensi erosi, agar menjadi pertimbangan ilmiah untuk eksplorasi dan pengembangan. Metode ini adalah survei lapangan untuk menentukan bentuk penggunaan lahan dan bentuk lain dari upaya konservasi; pengumpulan data sekunder, data tanah yaitu, data curah hujan, data yang lereng dan interpretasi data dari citra satelit Geo Eye pada tahun 2012. pengolahan data lebih lanjut digunakan rumus USLE program ArcGIS. Hasil penelitian menunjukkan bahwa erosi potensi Wae Heru DAS dan Wae Tonahitu Daerah Aliran Sungai di kelas potensial sangat ringan. Hal ini karena kondisi di hulu masih berhutan sebagian besar. Namun, pada potensi hilir erosi adalah bervariasi, yaitu kelas ringan, kelas menengah, kelas berat dan kelas yang sangat berat. Hal ini karena kondisi di hilir mengalami konversi menjadi pemukiman, tegalan, kebun, lahan terbuka dan penambangan pasir. 

Skopje, Yugoslavia: Seismic Concerns and Land use Issues during the First Twenty Years of Reconstruction following a Devastating Earthquake

1987 ◽  
Vol 3 (1) ◽  
pp. 103-117 ◽  
Author(s):  
M. R. Greene
Keyword(s):  
Land Use ◽  
Construction Process ◽  
Current Development ◽  
City Center ◽  
Massive Influx

This paper identifies some of the early decisions made after the devastating 1963 earthquake in Skopje, Yugoslavia and illustrates how those decisions shaped the city's reconstruction. The formation of a guiding committee, and a massive influx of outside aid contributed to a careful, thoughtful process for reconstruction. Also, postponement of city center redevelopment for two years and the early incorporation of seismic concerns meant that reconstruction would not just be rebuilding in the old pattern. The current development and construction process continues to take seismic concerns into account, particularly through an early required review of building location and size. Two significant problems have emerged from the long-term reconstruction—the explosive growth and boomtown atmosphere accompanying the post-earthquake rebuilding, and the dwindling resources available for rebuilding projects as more years pass from the earthquake.

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

scholarly journals USO E OCUPAÇÃO DA ORLA MARÍTIMA NOS MUNICÍPIOS DE TIBAU E GROSSOS (RN): MECANISMOS PARA UMA GESTÃO COSTEIRA INTEGRADA

2020 ◽  
Vol 12 (7) ◽  
pp. 2617
Author(s):  
André Luiz Braga Silva ◽  
Maykon Targino Da Silva ◽  
Rodrigo Guimarães De Carvalho
Keyword(s):  
Land Use ◽  
Social Control ◽  
Coastal Zone ◽  
Coastal Management ◽  
Integrated Management ◽  
Dynamic Environments ◽  
Coastal Regions ◽  
Urbanization Process ◽  
Integrated Coastal Management

As regiões costeiras são ambientes extremamente dinâmicos e agregam diferentes valores. Diante disso, o intuito da presente pesquisa foi realizar uma caracterização referente ao uso e a ocupação da orla marítima dos municípios de Grossos e Tibau (RN). Para isso, realizou-se a classificação da orla, segundo os conceitos do projeto Orla, e a quantificação da ocupação. Os resultados mostraram que as orlas marítimas de ambos os municípios possuem fortes interferências antrópicas, apresentando classes de orla marítima A, B e C. As classes encontradas evidenciaram os seguintes valores: 47% em processo de urbanização, 45% não urbanizada e 8% com urbanização consolidada. Assim, conclui-se que a área necessita de um plano de ordenamento do uso e ocupação do solo que seja concebido mediante o controle social, de modo que se possa obter uma Gestão Integrada das orlas marítimas.  Use and occupation of the coastline in the municipalities of Tibau and Grossos (RN): Mechanism for integrated coastal management A B S T R A C TThe coastal regions are extremely dynamic environments and add different values. Therefore, the aim this paper was to characterize the use and occupation of the coastal zone of the municipalities Grossos and Tibau (RN). For this, the classification of the coastal zone was carried out according to the concepts of the Orla project, and quantification of the occupation. The results showed that the coastal zone of both municipalities have strong anthropic interference, presenting classes of coastal zone A, B and C. The classes found showed the following values: 47%, in the urbanization process, 45% not urbanized and 8% with urbanization consolidated. Thus, it is concluded that the area needs a plan of land use and occupation that is conceived through social control, so that an integrated management of the coastal zone.Keywords: Coastal management, urbanization, sustainability.

Penentuan Luas Area Sawah Kabupaten Sleman Pada Citra Landsat 8 Operational Land Imager (OLI)

Respati ◽  
2018 ◽  
Vol 13 (3) ◽  
Author(s):  
Sulidar Fitri ◽  
Novi Nurjanah
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Support Vector Machine ◽  
Rice Field ◽  
Image Data ◽  
Rice Fields ◽  
Support Vector ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Learning Machine

INTISARITeknologi penginderaan jauh sangat baik dijadikan data pembuatan peta penggunaan lahan, karena kebutuhan pemetaan semakin tinggi terutama untuk mendeteksi perubahan penggunaan lahan terutama untuk penentuan luas area khususnya sawah di kabupaten Sleman. Untuk mendapatkan informasi luasan area sawah dari interpretasi citra landsat-8 OLI (Operational Land Imager) diperlukan metode khusus, terutama untuk pengolahan data citra penginderaan jauh secara digital. Salah satu metode pengolahan citra penginderaan jauh adalah metode Support Vector Machine (SVM). Metode SVM merupakan metode learning machine (Pembelajaran mesin) yang dapat mengklasifikasikan pola serta mengenali pola dari inputan atau contoh data yang diberikan dan juga termasuk ke dalam supervised learning. Hasil area sawah yang didapati dari citra Landsat 8 OLI dengan pengolahan metode SVM didapati berada di 18 kecamatan dala Kabupaten Sleman. Luasan tertinggi ada di kecamatan Ngaglik dengan 19,78 KM2 dan terendah di kecamatan Turi seluas 2,14 KM2. Nilai keseluruhan akurasi yang didapat untuk kelas lahan sawah dan area non sawah adalah adalah 53%.Kata kunci— Landsat-8 OLI, SVM, Data Citra, Geospasial, Luas Area Sawah ABSTRACTRemote sensing technology is very well used as a data for making land use maps, because mapping needs are increasingly high especially for detecting land use changes, especially for determining the area, especially rice fields in Sleman district. To get information about the area of the rice fields from the interpretation of Landsat-8 OLI (Operational Land Imager), special methods are needed, especially for processing remote sensing image data digitally. One method of processing remote sensing images is the Support Vector Machine (SVM) method. The SVM method is a learning machine method that can classify patterns and recognize patterns from input or sample data provided and also includes supervised learning. The results of the rice field that were found from the Landsat 8 OLI image by processing the SVM method were found in 18 sub-districts in Sleman Regency. The highest area is in Ngaglik sub-district with 19.78 KM2 and the lowest in Turi sub-district is 2.14 KM2. The overall value of the accuracy obtained for the class of rice field and non-rice field is 53%.Kata kunci—  Landsat-8 OLI, SVM, Image Data, Geospatial, Area of Rice Fields

KESESUAIAN LAHAN PERMUKIMAN TERHADAP RENCANA TATA RUANG WILAYAH BERBASIS SIG DI KABUPATEN KEPULAUAN SANGIHE

2021 ◽  
Vol 2 (2) ◽  
pp. 124-130
Author(s):  
Sofiena Mei Nessa ◽  
Selvana Treni Rosita Tewal ◽  
Cahyadi Nugroho
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Geographic Information Systems ◽  
Spatial Planning ◽  
Supervised Classification ◽  
Quantitative Methods ◽  
Image Data ◽  
Land Area ◽  
Border Areas ◽  
Spatial Plan

The problem in this study is related to the number of developments, especially those aimed at their designation, which is not by the existing regional spatial plan. This is because many developments are located in disaster-prone areas, coastal border areas, and protected areas. This also triggers changes in land use that are quite large from time to time. This study aims to determine the use of utilization with a regional spatial plan. This study uses quantitative methods to determine developments based on data in the Sangihe Islands Regency, analyzing image data and knowing the level of suitability of land use with the RTRW. The method of analysis in this study uses a method of spatial analysis based on geographic information systems (GIS) using supervised classification, scoring, weighting, overlay. The variables in this study include land use, spatial planning, and adjustments. The results show that the land area in the Regional Spatial Plan is suitable for land use in particular for an area of ​​3,202.65 hectares and not suitable for an area of ​​17,946.03 hectares from the total area of ​​the existing land use.

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