scholarly journals Penggunaan Data Citra Landsat Multitemporal untuk Monitoring Kondisi Ekosistem Mangrove di Teluk Kulisusu Kabupaten Buton Utara

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Mohammad Ashari Dwiputra ◽  
Rahmat Kurnia ◽  
Etty Riani
Keyword(s):  
Raw Materials ◽  
Scientific Information ◽  
Mangrove Ecosystem ◽  
High Density ◽  
Fishing Ground ◽  
Landsat 8 ◽  
Density Class ◽  
Mangrove Ecosystems ◽  
Landsat 7 ◽  
Ecosystem Changes

Scientific information  mangrove ecosystem at Kulisusu bay was limited. This study aims to identify mangrove ecosystems area change at Kulisusu bay within 20 years periods (1995-2015) using satellite imagery Landsat 5 TM (1995), Landsat 7 ETM (2005) and Landsat 8 OLI (2015). Analysis of the mangrove ecosystem changes was used NDVI algorithm then carried classification canopy density by three classes, high, medium and low density.The changes of mangrove ecosystems were based on the area changes of each 10 year. The NDVI results shown that on 1995 to 2005, high and medium classes were reduced respectively by 340 ha and 36 ha, low class area was 172 ha. The period within 2005 to 2015 shows that high areas were reduced by 756 hectares, then medium and low density class 22 Ha and 680 ha respectively. Conditions mangrove ecosystem during 30 years was from 1995 to 2015 shown that had been a heavy reduction in the high density class about 1096 hectares, a reduction of medium density class was 14 hectares and low class was 852 Ha. The amount of reduction in high density class was caused by the mangrove logging activities for charcoal used as raw materials, and fisherman activities likes boat lines for crab fishing ground in the mangrove ecosystem. Keywords: mangrove, NDVI, GIS, Kulisusu Bay

scholarly journals Spatial Monitoring of Urban Development Direction using Landsat 7 ETM+ and Landsat 8 OLI/TIRS in Balikpapan City, Indonesia

2020 ◽  
Vol 9 (4) ◽  
pp. 2703-2711
Keyword(s):  
Urban Development ◽  
Urban Areas ◽  
Control Function ◽  
Temporal Analysis ◽  
Bare Soil ◽  
Landsat 8 ◽  
Vegetation Density ◽  
Landsat 8 Oli ◽  
Density Class ◽  
Landsat 7

The development of urban areas in the city of Balikpapan increases over time and is characterized by increasing population. The growth and development of urban areas needs to be monitored so that the control function on area spatial can be implemented. This research aims to determine the direction of urban areas and measure the density of the built-up as a leading indicator of the development of urban areas in Balikpapan. The method used in this study is the multispasio-temporal analysis of remote sensing data of Landsat 7 ETM+ and Landsat 8 OLI/TIRS which contain a combination of spectral transformation, classification supervised Maximum Likelihood, accuracy assessment and statistical analysis. The results showed the trend of urban development from 2001 to 2019 towards east and northeast with the highest built-up density located in the sub-district of Balikpapan Tengah by 82.07% and followed by the sub-district of Balikpapan Kota by 76.94%. The largest land conversion took place on the bare soil with low vegetation density class to be vegetation with the converted area of 7095.91 ha or approximately 14.10% followed by the bare soil with low vegetation density class to be built-up with the converted area of 5826.86 ha or about 11.58% of the total area of Balikpapan city during the period from 2001 to 2019. The accuracy of urban development map in 2001 reaches 92.39 % and the year 2019 reaches 95.69 %, while the accuracy of land cover map in 2001 reaches 85.57% and the year 2019 reaches 87.28 %.

scholarly journals Perubahan Lahan Mangrove di Pesisir Muara Gembong, Bekasi, Jawa Barat

2021 ◽  
Vol 10 (1) ◽  
pp. 55-63
Author(s):  
Alin Maulani ◽  
Nur Taufiq-SPJ ◽  
Ibnu Pratikto
Keyword(s):  
Data Processing ◽  
Satellite Image ◽  
Image Data ◽  
Mangrove Ecosystem ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Mangrove Ecosystems ◽  
Satellite Image Data ◽  
Sentinel 2A ◽  
Land Changes

Kecamatan Muara Gembong adalah wilayah dengan ekosistem mangrove yang cukup luas dan tersebar. Mangrove adalah kelompok jenis tumbuhan yang tumbuh di sepanjang garis pantai tropis sampai subtropis di suatu lingkungan yang mengandung garam dan bentuk lahan berupa pantai dengan reaksi tanah anaerob. Kondisi ekosistem mangrove sangat peka terhadap gangguan dari luar terutama dari kegiatan pencemaran, konversi hutan mangrove menjadi kawasan non-hutan, ekploitasi hasil mangrove yang berlebihan sehingga terjadi dinamika pada luasan lahannya. Perubahan yang terjadi pada ekosistem mangrove ini dapat berupa penambahan, pengurangan, dan lahan yang tetap. Metode yang dilakukan pada penelitian ini berupa pengolahan data satelit citra Sentinel 2A, Landsat 8, dan Landsat 5 untuk menganalisa sebaran mangrove pada tahun 2009, 2014, dan 2019, serta perubahan yang terjadi. Validasi data dilakukan dengan pengamatan kawasan langsung di lokasi penelitian berdasarkan pengolahan data yang telah dilakukan. Hasil pengolahan data menunjukan di Kecamatan Muara Gembong pada tahun 2009-2019 diketahui terjadi penambahan luasan lahan mangrove sebesar 1017,746 ha dan pengurangan luasan mangrove sebesar 275,37 ha. Selain itu, terdapat pula lahan mangrove yang tetap bertahan pada kurun waktu 2009-2019 seluas 255,057 ha. Sehingga perubahan lahan mangrove yang terjadi di Kecamatan Muara Gembong cenderung mengalami pertambahan luasan lahan mangrove, yaitu sebesar 66% lahan mangrove yang bertambah. Muara Gembong Subdistrict is an area with a wide and scattered mangrove ecosystem. Mangroves are a group of plant species that grow along tropical to subtropical coastlines in an environment that contains salt and landforms in the form of beaches with anaerobic soil reactions. The condition of mangrove ecosystems is very sensitive to outside disturbances, especially from pollution activities, conversion of mangrove forests to non-forest areas, excessive exploitation of mangrove products resulting in dynamics in the area of land. Changes that occur in this mangrove ecosystem can be in the form of addition, subtraction, and permanent land. The method used in this research is the processing of Sentinel 2A, Landsat 8, and Landsat 5 satellite image data to analyze the distribution of mangroves in 2009, 2014 and 2019, and the changes that occur. Data validation is done by direct observation of the area at the research location based on data processing that has been done. The results of data processing showed that in Muara Gembong Subdistrict in 2009-2019 it was known that there was an increase in the area of mangrove land by 1017, 746 ha and reduction in mangrove area by 275.37 ha. In addition, there are also mangrove lands that have survived in the period 2009-2019 covering 255,057 ha. So that changes in mangrove land that occur in Muara Gembong District tend to experience an increase in the area of mangrove land, which is equal to 66% of the mangrove land that is increasing.

scholarly journals Kerapatan Hutan Mangrove Berbasis Data Penginderaan Jauh di Estuari Perancak Kabupaten Jembrana-Bali

2017 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
I Made Putra Kresnabayu ◽  
I Dewa Nyoman Nurweda Putra ◽  
Yulianto Suteja
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Forest Degradation ◽  
Mangrove Ecosystem ◽  
Landsat 8 ◽  
Vegetation Density ◽  
Mangrove Species ◽  
Density Class ◽  
Value Range ◽  
Pixel Value

The mangrove ecosystem is one of the objects that can be identified by using remote sensing technology. The geographical location of the mangrove ecosystem located in the land and sea transition areas provides a distinctive recording effect when compared to other land vegetation objects. Remote sensing information about vegetation density is useful for various needs such as estimation of the availability of wood fuel biomass, succession stages, forest degradation and so on. This study aims to map the mangrove density using NDVI mangrove vegetation index from Landsat 8 image in Estuari Perancak, Jembrana, Bali. The study was conducted on August 20, 2016 until August 25, 2016. The analysis used is correlation analysis and t-Test analysis. Based on the results of the study, it was found that the density class was rare, medium and tight. The density class rarely has a pixel value range from 0.4765 to 0.6128, the medium density class has a pixel value range of 0.6128 to 0.7093, and the dense or dense density has a pixel value range of 0.7093 to 0.7947. The dominant mangrove species is Rhizopora sp. The linear regression equation in the above figure shows y = 0.679x + 0.438 and with the correlation (r) of 0.9642. This means that the density of mangroves and NDVI is directly proportional. Where the higher the value of mangrove density, the higher the value of NDVI and reserve.

Species Density and Lead (Pb) Pollution in Mangrove Ecosystem, South Kalimantan

2020 ◽  
Vol 5 (1) ◽  
pp. 70-81
Author(s):  
Anang Kadarsah ◽  
Dafiuddin Salim ◽  
Sadang Husain ◽  
Marta Dinata
Keyword(s):  
Heavy Metal ◽  
Oil Palm ◽  
Ph Value ◽  
Coal Mines ◽  
Organic Matter Content ◽  
Mangrove Ecosystem ◽  
Organic Content ◽  
Species Density ◽  
Pb Pollution ◽  
Mangrove Ecosystems

Its crucial to get information about lead (Pb) heavy metal pollution from mining and oil palm plantation on species density in mangrove ecosystem, to anticipate its impacts. This study aimed is to compare the types and densities of vegetation in mangrove ecosystems allegedly due to mining in Setarap village, Tanah Bumbu Regency and oil palm plantations in Kuala Tambangan Village, Tanah Laut Regency. We also analysis the condition of waters (TDS, pH and DO) and organic content in sediments to acquire data from the South Kalimantan mangrove ecosystems. The results showed there were four species of true mangroves (Avicennia alba, Acanthus ebracteatus, Nypa fruticans and Rhizophora apiculate) could live well in the environment affected by mining or oil palm plantations. The species density for trees was low (933 ind/ha) for mangroves affected by coal mines, while those affected by oil palm plantations had higher densities (1,067 ind/ha). pH value of waters in affected area by coal mining showed more acidic value (pH 5.76) especially at the back, while those by palm oil plantations are more acidic (pH 6) in the estuary. Organic matter content in sediments affected by coal mines was in the range of 0.61-6.59%, while those affected by oil palm plantations showed higher values (0.12-2.19%). Lead heavy metal content (Pb) in waters affected by coal mines was 0.031-0.056 mg/L, while the area affected by oil palm plantations was of higher value (0.110-0.128 mg/L). Lead (Pb) levels in sediments indicate higher values than waters, which reach 3.512-6.046 mg/Kg (affected by coal mines), and in areas affected by oil palm plantations reaching 6.658-6.66 mg/Kg. The general conclusion is that vegetation densities in areas affected by coal mines are lower than oil palm plantations. The level of lead  (Pb) pollution in the sediments is higher than in the waters.

scholarly journals Radiometric Cross Calibration of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+)

2014 ◽  
Vol 6 (12) ◽  
pp. 12619-12638 ◽  
Author(s):  
Nischal Mishra ◽  
Md Haque ◽  
Larry Leigh ◽  
David Aaron ◽  
Dennis Helder ◽  
...  
Keyword(s):  
Thematic Mapper ◽  
Landsat 8 ◽  
Landsat 7 ◽  
Cross Calibration

scholarly journals Performance comparisons of particle swarm optimization, echo state neural network and genetic algorithm for vegetation segmentation

2017 ◽  
Vol 7 (1.1) ◽  
pp. 184
Author(s):  
Rincy Merlin Mathew ◽  
S. Purushothaman ◽  
P. Rajeswari
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Soft Computing ◽  
Particle Swarm ◽  
Band 3 ◽  
Landsat 8 ◽  
Swarm Optimization ◽  
Landsat 7 ◽  
Performance Comparisons

This article presents the implementation of vegetation segmentation by using soft computing methods: particle swarm optimization (PSO), echostate neural network(ESNN) and genetic algorithm (GA). Multispectral image with the required band from Landsat 8 (5, 4, 3) and Landsat 7 (4, 3, 2) are used. In this paper, images from ERDAS format acquired by Landsat 7 ‘Paris.lan’ (band 4, band 3, Band 2) and image acquired from Landsat 8 (band5, band 4, band 3) are used. The soft computing algorithms are used to segment the plane-1(Near infra-red spectra) and plane 2(RED spectra). The monochrome of the two segmented images is compared to present performance comparisons of the implemented algorithms.

scholarly journals Land Cover Change Investigation in the Southern Syrian Coastal Basins During the Past 30-Years Using Landsat Remote Sensing Data

2018 ◽  
Vol 11 (1-2) ◽  
pp. 45-51 ◽  
Author(s):  
Muhannad Hammad ◽  
László Mucsi ◽  
Boudewijn van Leeuwen
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Landsat 7 ◽  
Coastal Basins ◽  
Major Increase ◽  
Temporal And Spatial ◽  
Land Cover Maps ◽  
Conflict Period

Abstract Land cover change and deforestation are important global ecosystem hazards. As for Syria, the current conflict and the subsequent absence of the forest preservation are main reasons for land cover change. This study aims to investigate the temporal and spatial aspects and trends of the land cover alterations in the southern Syrian coastal basins. In this study, land cover maps were made from surface reflectance images of Landsat-5(TM), Landsat-7(ETM+) and Landsat-8(OLI) during May (period of maximum vegetation cover) in 1987, 2002 and 2017. The images were classified into four different thematic classes using the maximum likelihood supervised classification method. The classification results were validated using 160 validation points in 2017, where overall accuracy was 83.75%. Spatial analysis was applied to investigate the land cover change during the period of 30 years for each basin and the whole study area. The results show 262.40 km2 reduction of forest and natural vegetation area during (1987-2017) period, and 72.5% of this reduction occurred during (2002-2017) period due to over-cutting of forest trees as a source of heating by local people, especially during the conflict period. This reduction was particularly high in the Alabrash and Hseen basins with 76.13 and 79.49 km2 respectively, and was accompanied by major increase of agriculture lands area which is attributed to dam construction in these basins which allowed people to cultivate rural lands for subsistence or to enhance their economic situation. The results of this study must draw the relevant authorities’ attention to preserve the remaining forest area.

scholarly journals ANALISIS KESESUAIAN EKOWISATA MANGROVE DESA KAHYAPU PULAU ENGGANO

2016 ◽  
Vol 1 (2) ◽  
pp. 64-73
Author(s):  
Desi Fitriana ◽  
Yar Johan ◽  
Person Pesona Renta
Keyword(s):  
Survey Methods ◽  
Mangrove Ecosystem ◽  
Mangrove Ecosystems ◽  
Suitability Index ◽  
Ecological Suitability ◽  
The Village

The purpose of this study was to identify the potential of mangrove ecosystems as mangrove ecotourism objects and calculate suitability mangrove ecotourism in the village Kahyapu Enggano . This research was conducted using survey methods, measurements in the field and ecological suitability determination based on the multiplication of weights and scores obtained from any of the parameters consisting of five parameters: the thickness of the mangrove , mangrove density , types of mangrove , tidal and biota object . Mangrove ecosystem in the Village Kahyapu Enggano has the potential to be developed as an ecotourism mangrove . Based on the results, the results of IKW ( Travel Suitability Index ) at the stations I 60 % category S2 (Match ) , Station II 66 % category S2 (Match ) and Station III 71 % category S2 (Match ).

scholarly journals Fauna diversity, production potential and total economic value of mangrove ecosystems in Mentawir Village, East Kalimantan, Indonesia

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Rochadi Kristiningrum ◽  
Abubakar M. Lahjie ◽  
MASJAYA ◽  
SYAHRIR YUSUF ◽  
YOSEP RUSLIM ◽  
...  
Keyword(s):  
Economic Value ◽  
Mangrove Ecosystem ◽  
Use Value ◽  
Production Potential ◽  
Annual Increment ◽  
Existence Value ◽  
East Kalimantan ◽  
Mangrove Ecosystems ◽  
Total Economic Value ◽  
Direct Use

Abstract. Kristiningrum R, Lahjie AM, Masjaya, Yusuf S, Ruslim Y, Ma’ruf A. 2020. Fauna diversity, production potential and total economic value of mangrove ecosystems in Mentawir Village, East Kalimantan, Indonesia. Biodiversitas 21: 1940-1953. Mangroves play important role in life. The benefits of the mangrove ecosystem consist of ecological and socio-economic values. However, it is a challenge to discern how the mangrove ecosystem provides a comprehensive economic value. This research is aimed to analyze the Total Economic Value (TEV) of mangrove ecosystems in Mentawir Village, North Penajam Paser District, East Kalimantan Province. This aim will be achieved by conducting fauna inventory, analysis of mangrove wood production potential, social-economic interviews, and infrastructure cost analysis as the inputs to calculate four elements (i.e. Direct Use Value, Indirect Use Value, Option Value, and Existence Value) to sum up the TEV. The research used a mixed-method combining both qualitative and quantitative methods. Fauna inventory was conducted using boat survey method and interviews with local fishermen. Data on mangrove wood production was obtained using the systematic random sampling method by establishing two plots with an area of one hectare for each plot to calculate mean annual increment (MAI) and current annual increment (CAI). The economic value of the mangrove ecosystem was calculated using market price values, replacement costs, and the Contingent Valuation Method (CVM). The results of fauna inventory consisted of 3 species of mammals, 1 species of reptile, 16 species of birds, 25 types of fish, 8 species of crustaceans, and 7 species of mollusks. The economic valuation resulted in the contribution of direct use value with 39.56% in the form of wood (94,875,000,000 IDR) and fishery products (103,500,000,000 IDR); indirect use value with 53.47% in the form of breakwater (38,028,881,407 IDR), abrasion resistance (218,549,528,110 IDR), and carbon sequestration (11,580,313,067); option value with 6.92% in the form of biodiversity (34,690,085,038 IDR); and existence value with 0.05% (241,500,000 IDR). All these resulted in the total economic value (TEV) of the mangrove ecosystem in Mentawir Village of 501,465,307,621 IDR. Therefore, this value can be the basis for policymakers in managing natural resources so that the ecosystem is more protected and sustainable, and can continue to provide environmental services for the welfare of the community.

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