LANDCOVER CHANGES IN COASTAL BUNGUS REGION OF KABUNG BAY, WEST SUMATRA FROM 200-2013 BASED ON GEOGRAPHIC INFORMATION SYSTEM APPLICATION

ABSTRACT Bungus district of Kabung Bay is a growing region located at coastal zone of southern city of Padang, west sumatra. As a growing region, the Bungus district brings some impacts on population increase and degradation of environment quality. Therefore, it is needed an effort to identify land use changes and the distribution of land use in this region from the year of 2003 until 2013. This research used landsat 7 imagery in 2003 and landsat 8 imagery in 2013. The data were analysed descriptively using geographical informastion system. The result showd that (1) swamp land cover experienced the smallest land use change between 2003 until 2013 (0.02 ha/yr), meanwhile forest land use had the biggest change of about 224.8 ha/yr. The biggest addition of land cover belong to settlement area about 47.59 hectare, and the other hand occur on bush about -31.68 hectare. Keywords: Bungus district, landcover changes, Landsat imagery, GIS

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LANDCOVER CHANGES IN COASTAL BUNGUS REGION OF KABUNG BAY, WEST SUMATRA FROM 200-2013 BASED ON GEOGRAPHIC INFORMATION SYSTEM APPLICATION

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.28930/jitkt.v6i2.9007 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

Yulius Yulius ◽

T A Tanto ◽

M Ramdhan ◽

A Putra ◽

H L Salim

Keyword(s):

Land Use ◽

Land Cover ◽

Landsat Imagery ◽

Landsat 8 ◽

Environment Quality ◽

Geographic Information System Application ◽

West Sumatra ◽

Result Show ◽

Landsat 7 ◽

Growing Region

ABSTRACT Bungus district of Kabung Bay is a growing region located at coastal zone of southern city of Padang, west sumatra. As a growing region, the Bungus district brings some impacts on population increase and degradation of environment quality. Therefore, it is needed an effort to identify land use changes and the distribution of land use in this region from the year of 2003 until 2013. This research used landsat 7 imagery in 2003 and landsat 8 imagery in 2013. The data were analysed descriptively using geographical informastion system. The result showd that (1) swamp land cover experienced the smallest land use change between 2003 until 2013 (0.02 ha/yr), meanwhile forest land use had the biggest change of about 224.8 ha/yr. The biggest addition of land cover belong to settlement area about 47.59 hectare, and the other hand occur on bush about -31.68 hectare. Keywords: Bungus district, landcover changes, Landsat imagery, GIS

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Remote Sensing Application for Exploring Land Use and Land Cover Dynamics in and Around Chatra Wetland, English Bazar, West Bengal

CREATIVE SPACE ◽

10.15415/cs.2021.91002 ◽

2021 ◽

Vol 9 (1) ◽

pp. 15-27

Author(s):

Saleha Jamal ◽

Md Ashif Ali

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Land Use Changes ◽

United States Geological Survey ◽

Landsat 8 ◽

Gis And Remote Sensing ◽

Erdas Imagine ◽

Landsat 7 ◽

Vegetation Water

Wetlands are often called as biological “supermarket” and “kidneys of the landscape” due to their multiple functions, including water purification, water storage, processing of carbon and other nutrients, stabilization of shorelines and support of aquatic lives. Unfortunately, although being dynamic and productive ecosystem, these wetlands have been affected by human induced land use changes. India is losing wetlands at the rate of 2 to 3 per cent each year due to over-population, direct deforestation, urban encroachment, over fishing, irrigation and agriculture etc (Prasher, 2018). The present study tries to investigate the nature and degree of land use/land cover transformation, their causes and resultant effects on Chatra Wetland. To fulfil the purpose of the study, GIS and remote sensing techniques have been employed. Satellite imageries have been used from United States Geological Survey (USGS) Landsat 7 Enhanced Thematic Mapper plus and Landsat 8 Operational Land Imager for the year 2003 and 2018. Cloud free imageries of 2003 and 2018 have been downloaded from USGS (https://glovis.usgs.gov/) for the month of March and April respectively. Image processing, supervised classificationhas been done in ArcGis 10.5 and ERDAS IMAGINE 14. The study reveals that the settlement hasincreased by about 90.43 per cent in the last 15 years around the Chatra wetland within the bufferzone of 2 Sq km. Similarly agriculture, vegetation, water body, swamp and wasteland witnessed asignificant decrease by 5.94 per cent, 57.69 per cent, 26.64 per cent 4.52 per cent and 55.27 per centrespectively from 2003 to 2018.

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Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios

Sustainability ◽

10.3390/su10103421 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3421 ◽

Cited By ~ 43

Author(s):

Rahel Hamad ◽

Heiko Balzter ◽

Kamal Kolo

Keyword(s):

Land Use ◽

Markov Chain ◽

Land Cover ◽

Land Use Changes ◽

Landsat 8 ◽

Chain Model ◽

Land Use Land Cover ◽

Kurdistan Region ◽

The Past ◽

Past Trend

Multi-temporal Landsat images from Landsat 5 Thematic Mapper (TM) acquired in 1993, 1998, 2003 and 2008 and Landsat 8 Operational Land Imager (OLI) from 2017, are used for analysing and predicting the spatio-temporal distributions of land use/land cover (LULC) categories in the Halgurd-Sakran Core Zone (HSCZ) of the National Park in the Kurdistan region of Iraq. The aim of this article was to explore the LULC dynamics in the HSCZ to assess where LULC changes are expected to occur under two different business-as-usual (BAU) assumptions. Two scenarios have been assumed in the present study. The first scenario, addresses the BAU assumption to show what would happen if the past trend in 1993–1998–2003 has continued until 2023 under continuing the United Nations (UN) sanctions against Iraq and particularly Kurdistan region, which extended from 1990 to 2003. Whereas, the second scenario represents the BAU assumption to show what would happen if the past trend in 2003–2008–2017 has to continue until 2023, viz. after the end of UN sanctions. Future land use changes are simulated to the year 2023 using a Cellular Automata (CA)-Markov chain model under two different scenarios (Iraq under siege and Iraq after siege). Four LULC classes were classified from Landsat using Random Forest (RF). Their accuracy was evaluated using κ and overall accuracy. The CA-Markov chain method in TerrSet is applied based on the past trends of the land use changes from 1993 to 1998 for the first scenario and from 2003 to 2008 for the second scenario. Based on this model, predicted land use maps for the 2023 are generated. Changes between two BAU scenarios under two different conditions have been quantitatively as well as spatially analysed. Overall, the results suggest a trend towards stable and homogeneous areas in the next 6 years as shown in the second scenario. This situation will have positive implication on the park.

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Prediksi Perubahan Lahan Terbangun Dengan OBIA LCM Pada Citra Terfusi di Kota Kendari

JAGAT (Jurnal Geografi Aplikasi dan Teknologi) ◽

10.33772/jagat.v5i2.21621 ◽

2021 ◽

Vol 5 (2) ◽

pp. 170

Author(s):

Adnan Adnan ◽

Fitra Saleh ◽

Iradat Salihin

Keyword(s):

Land Use ◽

Landsat Imagery ◽

Land Use Changes ◽

Landsat 8 ◽

Land Change ◽

Land Use Classification ◽

Landsat 8 Oli ◽

Land Change Modeler ◽

Two Factors ◽

Land Changes

Abstrak: Penggunaan lahan disetiap tahunnya akan mengalami perubahan. Perkembangan tersebut bisa jadi tidak terkendali, sehingga perencanaan prediksi perubahan lahan penting untuk dikaji. Dalam memprediksi dapat dilakukan dengan menggunakan citra, khususnya citra Landsat. Penelitian ini bertujuan untuk: (1) distribusi penggunaan lahan terbangun di Kota Kendari pada tahun 2014 dan 2019 dengan metode OBIA pada citra terfusi; (2) melihat arah perubahan penggunaan lahan terbangun di Kota Kendari pada tahun 2024 dan 2029 dengan metode Land Change Modeler (LCM). Metode yang digunakan dalam penelitian ini yaitu metode klasifikasi penggunaan lahan berbasis piksel OBIA dan pemodelan prediksi perubahan penggunaan lahan Land Change Modeler (LCM). Hasil penelitian ini antara lain: (1) luas lahan terbangun pada tahun 2014 di Kota Kendari seluas 6.061,85 hektar dan luas penggunaan lahan terbangun di Kota Kendari pada tahun 2019 seluas 6.716,96 hektar dengan perubahan penggunaan lahan terbangun tahun 2014 sampai dengan tahun 2019 dengan pertambahan luas 2,43%; (2) Arah perubahan penggunaan lahan terbangun di Kota Kendari diprediksikan cenderung berkembang ke arah Kecamatan Baruga karena dipengaruhi oleh dua faktor yaitu kemiringan lereng dan jaringan jalan. Kata Kunci : Penggunaan Lahan, Landsat 8 OLI, Penajaman Citra, OBIA, LCM Abstract: Land use will change every year. The development may be uncontrollable, so predictive planning of land changes is important to review. In predicting can be done using imagery, especially Landsat imagery. This study aims to:(1) the distribution of land use built in Kendari City in 2014 and 2019 with OBIA method on diffusion imagery; (2) see the direction of land use changes built in Kendari City in 2024 and 2029 with land change modeler (LCM) method. The methods used in this study are OBIA pixel-based land use classification method and land use change prediction modeling land change modeler (LCM). The results of this study include: (1) land area built in 2014 in Kendari City aswide as 6,061.85 hectars and land use area built in Kendari City in 2019 aswide as 6,716.96 hectars with land use changes built in 2014 to 2019 with an increase of 2.43%; (2) The direction of land use changes built in Kendari City is predicted to tend to develop towards Baruga Subdistrict because it is influenced by two factors, namely slope and road network. Keywords: Land Use, Landsat 8 OLI, Image Sharpening, OBIA, LCM

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Land use and land cover changes in the Lower Neretva Region from 1990 to 2020

Hrvatski geografski glasnik/Croatian Geographical Bulletin ◽

10.21861/hgg.2021.83.02.01 ◽

2021 ◽

Vol 83 (2) ◽

pp. 7-31

Author(s):

Josip Šetka ◽

◽

Petra Radeljak Kaufmann ◽

Luka Valožić ◽

◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Agricultural Land ◽

Confusion Matrix ◽

Hybrid Approach ◽

Land Cover Changes ◽

Landsat 8 ◽

Economic Changes ◽

Sparse Vegetation ◽

Landsat 7

Changes in land use and land cover are the result of complex interactions between humans and their environment. This study examines land use and land cover changes in the Lower Neretva Region between 1990 and 2020. Political and economic changes in the early 1990s resulted in changes in the landscape, both directly and indirectly. Multispectral image processing was used to create thematic maps of land use and land cover for 1990, 2005, and 2020. Satellite images from Landsat 5, Landsat 7 and Landsat 8 were the main source of data. Land use and land cover structure was assessed using a hybrid approach, combining unsupervised and manual (visual) classification methods. An assessment of classification accuracy was carried out using a confusion matrix and kappa coefficient. According to the results of the study, the percentage of built-up areas increased by almost 33%. Agricultural land and forests and grasslands also increased, while the proportion of swamps and sparse vegetation areas decreased.

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Remote Sensing and GIS based Land Use Land Cover Analysis in Chandel District, Manipur, India

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/889/1/012046 ◽

2021 ◽

Vol 889 (1) ◽

pp. 012046

Author(s):

Ashangbam Inaoba Singh ◽

Kanwarpreet Singh

Keyword(s):

Land Use ◽

Land Cover ◽

Supervised Classification ◽

Geographical Area ◽

Temporal Trends ◽

Water Bodies ◽

Landsat 8 ◽

Rapid Urbanization ◽

Barren Area ◽

Landsat 7

Abstract Rapid urbanization has dramatically altered land use and land cover (LULC). The focus of this research is on the examination of the last two decades. The research was conducted in the Chandel district of Manipur, India. The LULC of Chandel (encompassing a 3313 km2 geographical area) was mapped using remotely sensed images from LANDSAT4-5, LANDSAT 7 ETM+, and LANDSAT 8 (OLI) to focus on spatial and temporal trends between years 2000 and 2021. The LULC maps with six major classifications viz., Thickly Vegetated Area (TVA), Sparsely Vegetated Area (SVA), Agriculture Area (AA), Population Area (PA), Water Bodies (WB), and Barren Area (BA) of the were generated using supervised classification approach. For the image classification procedure, interactive supervised classification is adopted to calculate the area percentage. The results interpreted that the TVA covers approximately 65% of the total mapped area in year 2002, which has been decreased up to 60% in 2007, 56% in 2011, 55 % in 2017, and 52% in 2021. The populated area also increases significantly in these two decades. The change and increase in the PA has been observed from year 2000 (8%) to 2021 (11%). Water Bodies remain same throughout the study period. Deforestation occurs as a result of the rapid rise of the population and the extension of the territory.

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Studying Land Use and Land Cover Spatial Patterns Distribution in Crete, Greece with Means of Satellite Remote Sensing

Proceedings ◽

10.3390/proceedings2019030066 ◽

2020 ◽

Vol 30 (1) ◽

pp. 66

Author(s):

Dimitrios D. Alexakis ◽

Christos Polykretis

Keyword(s):

Land Use ◽

Land Cover ◽

Spatial Patterns ◽

Landscape Metrics ◽

Unsupervised Classification ◽

Landsat 8 ◽

Important Indicator ◽

Rural Environments ◽

Landsat 7 ◽

Landsat Satellite

Multi-temporal Land use and Land cover (LULC) monitoring is a crucial parameter for assessing an area’s landscape ecology regime. LULC changes can be effectively used to describe dynamics of both urban or rural environments and vegetation patterns as an important indicator of ecological environments. In this context, spatial land use properties can be quantified by using a set of landscape metrics. Landscape metrics capture inherent spatial structure of the environment and are used to enhance interpretation of spatial pattern of the landscape. This study aims to monitor diachronically the LULC regime of the island of Crete, Greece with the use of Landsat satellite imageries (Landsat 5, Landsat-7 and Landsat-8) in terms of soil erosion. For this reason, radiometric and atmospheric corrections are applied to all satellite products and unsupervised classification algorithms are used to develop detail LULC maps of the island. The LULC classes are developed by generalizing basic CORINE classes. Following, various landscape metrics are applied to estimate the temporal changes in LULC patterns of the island. The results denote that the diachronic research of spatial patterns evolution can effectively assist to the investigation of the structure, function and landscape pattern changes.

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Dinamika Cadangan Karbon akibat Perubahan Tutupan Lahan menjadi Lahan Permukiman di Kota Padang Sumatera Barat

Forum Geografi ◽

10.23917/forgeo.v26i1.5049 ◽

2012 ◽

Vol 26 (1) ◽

pp. 45

Author(s):

Dedi Hermon

Keyword(s):

Land Cover ◽

Landsat Imagery ◽

Sampling Technique ◽

Carbon Stocks ◽

Stratified Sampling ◽

Forest Area ◽

Tree Biomass ◽

Land Settlement ◽

West Sumatra ◽

Landsat 7

The purpose of this study was to analyse the dynamics of carbon stocks changes from land cover into land settlement in the Padang City, West Sumatra. Method to formulate the change of land cover into land settlement in the Padang City is the analysis of Landsat Imagery 5+TM 1988, Landsat 7+ETM Image of 1998 and Landsat 7+ETM Image of 2008. Stratified Sampling Technique was Purpose Composite plot refers to the technique, but in this study carried out modification to the size of the plot which is then converted to the extend of each hectare of land cover. Estimating tree biomass using the equation according Kattering allometric, (2001). The result of the research conducted found that the dynamics of carbon stocks always decline from 1988, 1998 and 2008. This is caused by a reduction in forest area, shrubs, gardens, and fields are consistently due to the increased amount of land used for settlement.

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Land Use and Land Cover Change in Khorezm, Uzbekistan

E3S Web of Conferences ◽

10.1051/e3sconf/202122701002 ◽

2021 ◽

Vol 227 ◽

pp. 01002

Author(s):

Sherzod Rakhmonov ◽

Uktam Umurzakov ◽

Kosimdjon Rakhmonov ◽

Iqbol Bozarov ◽

Ozodbek Karamatov

Keyword(s):

Land Use ◽

Land Cover ◽

Land Cover Change ◽

Agricultural Land ◽

Land Use Changes ◽

Bare Soil ◽

Aral Sea ◽

Landsat 8 ◽

Urban And Regional Planning ◽

Saline Land

This article depicts on discussions about land use and land cover change distribution in Khorezm province, Uzbekistan between 1987 and 2019. For the study Landsat 5 TM and Landsat 8 OLI respectively used to detect land use changes in the study area. Khorezm region affected by Aral Sea shrinkage having received salt wind from northeast of the region. Moreover, population increased within study period, making population density intense. Research is carried out to detect reflection of ecology and density in land use. RS techniques maximum likelihood employed to classify land use to generate land cover distribution map. In total seven class selected such as agricultural land, built up, bare land, lowland, saline land, sand and waterbody. The research of Khorezm region for 32 years has been thoroughly studied and found out that agricultural land, built up and saline land increased tremendously while lowland and bare soil are decreased accordingly. The result map can be used for decision makers and government bodies for future long term urban and regional planning.

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Global assessment of land cover changes and rural-urban interface in Portugal

10.5194/nhess-2017-359 ◽

2017 ◽

Cited By ~ 1

Author(s):

Marj Tonini ◽

Joana Parente ◽

Mario Pereira

Keyword(s):

Land Use ◽

Land Cover ◽

Urban Areas ◽

Global Assessment ◽

Fire Regime ◽

Land Use Changes ◽

Population Increase ◽

Burnt Area ◽

Agricultural Areas ◽

The Impact

Abstract. The wildland-/rural-urban interface (WUI/RUI) is a particularly important aspect of the fire regime. In Mediterranean basin most of the fires in this pyro region are caused by humans and the risk and consequences are particularly high due to the close proximity to population, human infrastructures and urban areas. Population increase, urban growth and the rapid changes in land use incurred in Europe over the last 30 years has been unprecedented, especially nearby the metropolitan areas, and some of these trends are expected to continue. Associated to high socioeconomic development, Portugal experienced in the last decades significant land cover/land use changes (LCLUC), population dynamics and demographic trends in response to migration, rural abandonment, and ageing of rural population. This study aims to assess the evolution of RUI in Portugal, from 1990 to 2012, based on LCLUC providing also a quantitative characterization of forest fires dynamics in relation to the burnt area. Obtained results disclose important LCLUC which spatial distribution is far from uniform within the territory. A significant increase in artificial surfaces is registered nearby the main metropolitan communities of the northwest and littoral-central and southern regions, whilst the abandonment of agricultural land nearby the inland urban areas leads to an increase of uncultivated semi-natural and forest areas. Within agricultural areas, heterogeneous patches suffered the greatest changes and are the main contributors to the increase of urban areas. Moreover these are among the LCLU classes with higher burnt area, reasons why heterogeneous agricultural areas have been included in the definition of RUI. Finally, the mapped RUI’s area, burnt area and burnt area within RUI allow to conclude that, form 1990 to 2012 in Portugal, RUI increased more than two thirds and total burnt area decreased one third. Nevertheless, burnt area within RUI doubled, which emphasize the significance of RUI for land and fire managers. This research provides a first quantitative global assessment of RUI in Portugal and presents an innovative analysis on the impact of land use changes on burnt areas.

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