Land Cover Change and Coastal Sustainability in the Coastal Area of Kendari Bay, Southeast Sulawesi, Indonesia

Abstract Coastal areas provide invaluable resources which have important environment, economic and social value. These resources encourages growing population and development which induced rapid changes in coastal areas. This study aims to analyse the changes in land cover of the coastal areas of Kendari Bay to provide recent perspectives of how land cover has changed using Landsat TM and Landsat OLI images for the period of 1998, 2008 and 2018. The classified land cover classes are categorized as waterbodies, built-up, bareland, forest, wetland, vegetation and mangrove. The land cover map of each period was acquired from supervised classification using maximum likelihood algorithm in ArcGIS, then the land cover change was analysed through post-classification change detection of GIS-based method. . Accuracy assessment of classified images shows the overall accuracy is estimated as 88.71%, 85.81% and 91.61%, and overall Kappa coeffient statistical values of 0.87, 0.83 and 0.90 for the year 1998, 2008 and 2018 respectively. This study found that there was significant land cover change in the coastal areas of Kendari Bay. It was dominated by the expansion of built-up areas and bareland by 55% and 469.77% respectively, which was gained from the conversion of vegetation and wetland. Meanwhile, considerable reduction were shown in mangrove, wetland, forest and vegetation which have declined by 48.65%, 43.39%, 38.72% and 27.20%. Analysing land cover change is an effective way to understand the dynamics of land cover in coastal areas, and can be used for future land use planning and policies.

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First 1-M Resolution Land Cover Map Labeling the Overlap in the 3rd Dimension: The 2018 Map for Wallonia

Data ◽

10.3390/data5040117 ◽

2020 ◽

Vol 5 (4) ◽

pp. 117

Author(s):

Céline Bassine ◽

Julien Radoux ◽

Benjamin Beaumont ◽

Taïs Grippa ◽

Moritz Lennert ◽

...

Keyword(s):

Land Cover ◽

Land Use Planning ◽

Climate Modeling ◽

Decision Rules ◽

Ancillary Data ◽

Map Labeling ◽

Small Water ◽

Very High Spatial Resolution ◽

Land Cover Map ◽

Land Cover Maps

Land cover maps contribute to a large diversity of geospatial applications, including but not limited to land management, hydrology, land use planning, climate modeling and biodiversity monitoring. In densely populated and highly fragmented landscapes as observed in the Walloon region (Belgium), very high spatial resolution is required to depict all the infrastructures, buildings and most of the structural elements of the semi-natural landscapes (like hedges and small water bodies). Because of the resolution, the vertical dimension needs explicit handling to avoid discontinuities incompatible with many applications. For example, how to map a river flowing under a bridge? The particularity of our data is to provide a two-digit land cover code to label all the overlapping items. The identification of all the overlaps resulted from the combination of remote sensing image analysis and decision rules involving ancillary data. The final product is therefore semantically precise and accurate in terms of land cover description thanks to the addition of 24 classes on top of the 11 pure land cover classes. The quality of the map has been assessed using a state-of-the-art validation scheme. Its overall accuracy is as high as 91.5%, with an average producer’s accuracy of 86% and an average user’s accuracy of 91%.

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Land Cover Change in the Abuja City-Region, Nigeria: Integrating GIS and Remotely Sensed Data to Support Land Use Planning

Sustainability ◽

10.3390/su11051313 ◽

2019 ◽

Vol 11 (5) ◽

pp. 1313 ◽

Cited By ~ 7

Author(s):

Evidence Enoguanbhor ◽

Florian Gollnow ◽

Jonas Nielsen ◽

Tobia Lakes ◽

Blake Walker

Keyword(s):

Land Use ◽

Land Cover ◽

Urban Development ◽

Land Cover Change ◽

Land Use Planning ◽

Environmental Sustainability ◽

Urban Expansion ◽

Developed Countries ◽

Urban Land Cover ◽

Land Use Plan

Rapid urban expansion is a significant contributor to land cover change and poses a challenge to environmental sustainability, particularly in less developed countries. Insufficient data about urban expansion hinders effective land use planning. Therefore, a high need to collect, process, and disseminate land cover data exists. This study focuses on urban land cover change detection using Geographic Information Systems and remote sensing methods to produce baseline information in support for land use planning. We applied a supervised classification of land cover of LANDSAT data from 1987, 2002, and 2017. We mapped land cover transitions from 1987 to 2017 and computed the net land cover change during this time. Finally, we analyzed the mismatches between the past and current urban land cover and land use plans and quantified the non-urban development area lost to urban/built-up. Our results indicated an increase in urban/built-up and bare land cover types, while vegetation land cover decreased. We observed mismatches between past/current land cover and the existing land use plan. By providing detailed insights into mismatches between the regional land use plan and unregulated urban expansion, this study provides important information for a critical debate on the role and effectiveness of land use planning for environmental sustainability and sustainable urban development, particularly in less developed countries.

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Conventional and fuzzy accuracy assessment of the New York Gap Analysis Project land cover map

Remote Sensing of Environment ◽

10.1016/s0034-4257(02)00020-2 ◽

2002 ◽

Vol 81 (2-3) ◽

pp. 443-455 ◽

Cited By ~ 40

Author(s):

M Laba ◽

S.K Gregory ◽

J Braden ◽

D Ogurcak ◽

E Hill ◽

...

Keyword(s):

New York ◽

Land Cover ◽

Gap Analysis ◽

Accuracy Assessment ◽

Land Cover Map

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Application and limitation of national land-cover map in land-cover change detection -A case study on Chungcheongnam-do-

Journal of the Association of Korean Photo-Geographers ◽

10.35149/jakpg.2014.24.1.002 ◽

2014 ◽

Vol 24 (1) ◽

pp. 19-34

Author(s):

박종철 ◽

Kim Jang-soo

Keyword(s):

Land Cover ◽

Change Detection ◽

Land Cover Change ◽

Land Cover Map ◽

Land Cover Change Detection

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Pengolahan Citra Satelit dalam Deteksi Alih Fungsi Hutan Pada Daerah Aliran Sungai Arut Kabupaten Kotawaringin Barat Provinsi Kalimantan Tengah Berbasis Sistem Informasi Geografis

JURNAL MEDIA INFOTAMA ◽

10.37676/jmi.v15i1.742 ◽

2019 ◽

Vol 15 (1) ◽

Author(s):

Gregorius Anung Hanindito

Keyword(s):

Land Cover ◽

Land Cover Change ◽

Supervised Classification

Kabupaten Kotawaringin Barat merupakan salah satu kabupaten di wilayah Kalimantan Tengah yang secara geografis dialiri oleh 3 (tiga) sungai besar yakni: Sungai Kumai, Sungai Lamandau dan Sungai Arut. Seiring berjalannya waktu dan bertambahnya kepadatan penduduk, keberadaan sungai memberikan permasalahan baru akibat pembangunan dan ekspansi pertanian dan perkebunan. Mengacu pada permasalahan tersebut, maka penelitian ini dilakukan untuk mengamati tingkat alih fungsi lahan (land cover change) yang terjadi di daerah aliran sungai Arut, Kecamatan Arut Selatan, Kabupaten Kotawaringin Barat. Penelitian ini dilakukan dengan metode penginderaan jauh dan sistem informasi geografis. Data yang digunakan dalam metode ini ialah data citra satelit Landsat pada tahun 1996, 2010, dan 2016. Ketiga data tersebut diklasifikasikan sesuai dengan kenampakannya dengan metode supervised classification dan dianalisis dengan teknik intersection. Pembatasan alih fungsi dalam penelitian ini hanya dilakukan pada kenampakan hutan dan perkebunan saja. Dalam penelitian ini dihasilkan peta perubahan alih fungsi hutan menjadi perkebunan dalam periode waktu 1996-2016. Penelitian ini juga menghasilkan pola perubahan luas hutan dan perkebunan selama periode waktu tersebut. Kata Kunci: intersection, Landsat, penginderaan jauh, sistem informasi geografis, supervised classification

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Land Cover Change Impact on Coastal Tourism Development near Pacitan Southern Ringroad

MIMBAR Jurnal Sosial dan Pembangunan ◽

10.29313/mimbar.v37i1.6620 ◽

2021 ◽

Vol 37 (1) ◽

Author(s):

Riswandha Risang Aji ◽

Visilya Faniza

Keyword(s):

Economic Development ◽

Land Cover ◽

Land Cover Change ◽

Descriptive Analysis ◽

Coastal Areas ◽

Coastal Tourism ◽

Economic Sectors ◽

Beach Tourism ◽

Landsat 7 ◽

Social Economic Development

Tourism is one of the economic sectors that can make a difference to the regional economy. Pacitan Regency is one of the regions which has tourism sector as its income. Pacitan regency also has Southern Ringroad that opens access to some coastal areas. Coastal areas have some tourism potentials, especially beach tourism. The aim of this research is to describe land cover change and its impacts on three beaches as coastal tourism areas due to the development of the southern ringroad. This research uses descriptive analysis to describe land cover change using remote sensing analysis and social-economic development in the coastal tourism area. Satellite images from Landsat 7 are analyzed to describe the land cover change. The result of this research shows that there is the land cover change which leads to social and economic development. Social development in the area is concluded not vulnerable and economic development is improved.

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APLIKASI CITRA SATELIT PENGINDERAAN JAUH UNTUK PERCEPATAN IDENTIFIKASI TANAH TERLANTAR

BHUMI Jurnal Agraria dan Pertanahan ◽

10.31292/jb.v4i1.215 ◽

2018 ◽

Vol 4 (1) ◽

Author(s):

Westi Utami ◽

I Gede Kusuma Artika ◽

Aziz Arisanto

Keyword(s):

Land Use ◽

Land Cover ◽

Spatial Planning ◽

Supervised Classification ◽

Google Earth ◽

Land Use Land Cover ◽

Gis Analysis ◽

Maximum Likelihood Algorithm ◽

Abandoned Land ◽

And Control

Abstract: Identification and regulation of abandoned land needs to be intensified, to contribute identification of Objects of Agrarian Reform (TORA). Mapping of potential abandoned land carried out by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) was considered not optimally implemented if compared between the setting targets with the achievements each year. Utilization of google earth imagery and Geographic Information System (GE and GIS) is expected accelerate mapping of potentialabandoned land. Google earth image was used to interpret land cover as the basis to identify land use. Land cover classification was done using supervised classification with maximum likelihood algorithm. The results showed that google earth image and GIS were able to present existing land use, and able to identifyland that has not been used as the permit rights granted. The result of interpretation and GIS analysis was expected to be used as tool to identify potential abandoned land, as the basis to regulate, accelerate and control abandoned land in Indonesia.Intisari: Identifikasi dan penertiban tanah terlantar perlu dilakukan secara intensif, salah satunya untuk memberikan sumbangan bagi Tanah Obyek Reforma Agraria (TORA). Pemetaan potensi tanah terlantar yang dilakukan Kementerian Agraria dan Tata Ruang/Badan Pertanahan Nasional (ATR/BPN) selama ini dirasa belum optimal apabila dibandingkan antara target yang ditetapkan dengan capaian setiap tahunnya. Pemanfaatan citra google earth dan Sistem Informasi Geografi diharapkan dapat membantu pekerjaanpemetaan potensi dan identifikasi tanah terlantar. Data yang digunakan adalah citra google earth untuk interpretasi tutupan tanah sebagai dasar untuk menentukan penggunaan tanah. Klasifikasi tutupan tanah pada penelitian ini menggunakan klasifikasi terselia (supervised) dengan algoritma maxsimum likelihood. Hasil penelitian menunjukkan bahwa pemanfaatan citra google earth dan SIG mampu menyajikan data penggunaan tanah eksisting terbaru, dan mampu mengidentifikasi tanah-tanah yang tidak dimanfaatkan sesuai arahan dalam izin hak yang diberikan. Hasil interpretasi dan analisis dengan SIG ini diharapkan dapat digunakan sebagai identifikasi obyek potensi tanah terlantar untuk kemudian dijadikan sebagai dasar dalam kegiatan penertiban tanah terlantar sehingga dapat membantu percepatan penertiban tanah terlantar di Indonesia.

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Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.34.23850 ◽

2018 ◽

Vol 7 (4.34) ◽

pp. 159

Author(s):

Kabir Abdulkadir Gidado ◽

Mohd Khairul Amri Kamarudin ◽

Nik Ahmad Firdausaq ◽

Aliyu Muhammad Nalado ◽

Ahmad Shakir Mohd Saudi ◽

...

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Supervised Classification ◽

Agricultural Land ◽

Accuracy Assessment ◽

Geographical Information ◽

Lulc Changes ◽

Detection Analysis ◽

Socio Economic Factors

The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.

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