scholarly journals NDVI Based Analysis on the Impact of 2004 Tsunami Disaster Recovery Toward Vegetation Condition in Banda Aceh

2019 ◽  
Vol 8 (3) ◽  
pp. 66-71
Author(s):  
Zinatul Hayati ◽  
Saumi Syahreza ◽  
M Syukri Surbakti
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landsat Imagery ◽  
Satellite Image ◽  
Image Data ◽  
Tsunami Disaster ◽  
Satellite Image Data ◽  
2004 Tsunami ◽  
The Impact ◽  
Banda Aceh

Perubahan tutupan lahan banyak terdapat di kota-kota yang sedang berkembang. Banda Aceh, Indonesia merupakan salah satu provinsi yang sudah mengalami peningkatan jumlah penduduk dan percepatan pembangunan. Pasca bencana gempa dan tsunami 2004 perubahan penggunaan dan tutupan lahan (land use and land cover change/LULC) terlihat semakin meluas, dan hal ini berdampak pada berkurangnya lahan vegetatif. Artikel ini menjelaskan cara menganalisis NDVI dengan mengunakan data citra satelit Landsat 5 dan 8 untuk mengetahui kerapatan vegetasi di wilayah Banda Aceh dengan 9 kecamatan yang diambil tahun 2004, 2009, dan 2017. Studi ini mengidentifikasi antara pola perubahan tutupan lahan dan menyelidiki dampak tsunami, sehingga banyak kehilangan vegetasi pada lingkungan tersebut. Penelitian ini menggunakan Sistem Informasi Geografis (GIS) dimana tahap awal adalah mengumpulkan data citra satelit. Pada tahap kedua dilakukan pengolahan data menggunakan software PCI Geomatika 2016. Hasil analisa citra menjelaskan tahun 2004, 2009 dan 2017  kawasan kehijauan, masih banyak terdapat di kecamatan Lueng Bata, Ulee Kareng dan Banda Raya. Changes in land cover are often found in developing cities. Banda Aceh is one of the provinces in Indonesia that experiences an increase in the population and accelerated development. Land use and land cover (LULC) have increased dramatically since the 2004 earthquake and tsunami disaster and continued to reduce the vegetative land. This article explains how to analyze NDVI using Landsat 5 and 8 of the satellite image data. It aims to determine the vegetation density of Banda Aceh in 9 sub-districts taken in 2004, 2009 and 2017. This study identified patterns of changes in land cover and investigated the impact of the tsunami on the vegetational loss of the environment. Geographic Information System (GIS) was used in the study in which the satellite image data were collected before they were processed in the PCI Geomatika 2016 software. The results indicate that in the years of 2004, 2009 and 2017, many green areas are present in Lueng Bata, Ulee Kareng and Banda Raya sub-district. Keywords: Remote Sensing, Landsat Imagery, and NDVI

scholarly journals Assessment of post-tsunami disaster land use/land cover change and potential impact of future sea-level rise to low-lying coastal areas: A case study of Banda Aceh coast of Indonesia

2019 ◽  
Vol 41 ◽  
pp. 101292 ◽  
Author(s):  
Ella Meilianda ◽  
Biswajeet Pradhan ◽  
Syamsidik ◽  
Louise K. Comfort ◽  
Dedy Alfian ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Sea Level Rise ◽  
Sea Level ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Tsunami Disaster ◽  
Potential Impact ◽  
Banda Aceh

scholarly journals Assessment of Land Cover Changes in the Hinterland of Barranquilla (Colombia) Using Landsat Imagery and Logistic Regression

Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 152 ◽  
Author(s):  
Henry Schubert ◽  
Andrés Caballero Calvo ◽  
Markus Rauchecker ◽  
Oscar Rojas-Zamora ◽  
Grischa Brokamp ◽  
...  
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Land Cover ◽  
Rural Areas ◽  
Vegetation Cover ◽  
Landsat Imagery ◽  
Impact Factors ◽  
Land Cover Changes ◽  
Dynamic Changes ◽  
The Impact

Barranquilla is known as a dynamically growing city in the Colombian Caribbean. Urbanisation induces land use and land cover (LULC) changes in the city and its hinterland affecting the region’s climate and biodiversity. This paper aims to identify the trends of land use and land cover changes in the hinterland of Barranquilla corresponding to 13 municipalities in the north of the Department Atlántico. Landsat TM/ETM/OLI imagery from 1985 to 2017 was used to map and analyse the spatio-temporal development of land use and land cover changes. During the investigation period, the settlement areas grew by approximately 50% (from 103.3 to 153.6 km2), while areas with woody vegetation cover experienced dynamic changes and increased in size since 2001. Peri-urban and rural areas were characterized by highly dynamic changes, particularly regarding clearing and recovery of vegetated areas. Regression analyses were performed to identify the impact factors of detected vegetation cover changes. Computed logistic regression models included 20 independent variables, such as relief, climate, soil, proximity characteristics and socio-economic data. The results of this study may act as a basis to enable researchers and decision-makers to focus on the most important signals of systematic landscape transformations and on the conservation of ecosystems and the services they provide.

scholarly journals Perkembangan Wilayah dan Perubahan Tutupan Lahan di Kabupaten Purwakarta sebagai Dampak dari Proses Konurbasi Jakarta-Bandung

2018 ◽  
Vol 2 (2) ◽  
pp. 195
Author(s):  
Alfin Murtadho ◽  
Siti Wulandari ◽  
Muhammad Wahid ◽  
Ernan Rustiadi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Regional Development ◽  
Land Cover Change ◽  
Urban Expansion ◽  
Satellite Image ◽  
Water Bodies ◽  
Urban Region ◽  
Land Use Land Cover ◽  
The Impact

<p class="ISI-Paragraf">Jabodetabek and Bandung Raya metropolitan region experienced an urban expansion phenomenon that caused the two metropolitan regions to become increasingly connected by a corridor and form a mega-urban region caused by the conurbation process. Purwakarta regency is one of the regions in Jakarta-Bandung corridor that experienced the impact of Jakarta-Bandung conurbation process. This study aims to analyze the level of regional development, to analyze land cover change that occurred, and to predict Purwakarta Regency land use/land cover in 2030. Regional development analysis is done by using the Scalogram method based on Potential Village data of year 2003 and 2014. Land cover change analysis is done through spatial analysis by overlaying land cover Landsat Satellite Image of year 2000 and 2015. Land use/land cover prediction in 2030 is conducted through spatial modelling of Cellular Automata Markov method. Purwakarta Regency experienced an increase in regional development within the period of 11 years (2003 to 2014), which is marked by a decrease in the percentage of the number of villages that are in hierarchy III and increase in the percentage of the number of villages that are in hierarchy II and I. In general, within 15 years (2000 to 2015) Purwakarta Regency has increasing number of built-up area and mixed gardens, meanwhile dry land, forest, paddy field, and water bodies tend to decrease. The results of CA Markov analysis show that the built-up area is predicted to continue to increase from 2000 to 2030, meanwhile paddy fields and water bodies will continue to decrease.</p>

Dinamika Tutupan Lahan di Kawasan Karst Kecamatan Gunem Kabupaten Rembang

2019 ◽  
Vol 17 (2) ◽  
pp. 264
Author(s):  
Rina Sunia Setya ◽  
Erry Wiryani ◽  
Jumari Jumari
Keyword(s):  
Land Cover ◽  
Satellite Image ◽  
Image Data ◽  
Development Planning ◽  
Geographical Information ◽  
Karst Area ◽  
Natural Phenomenon ◽  
Co2 Absorption ◽  
Satellite Image Data ◽  
Cover Class

Research on land cover change in the karst region is currently an important study as an indicator of evaluating global environmental changes. Karst area is a unique natural phenomenon on the surface of the earth because it has an important role in water conservation, CO2 absorption, and maintenance of biodiversity but is very vulnerable to damage due to human activities. The purpose of this study was to analyze changes in karst land cover in Gunem District, Rembang Regency, Central Java using satellite image data and GIS (Geographical Information System). The research method used is to compare three data on the distribution of land cover in 1997, 2008 and 2017 obtained from the interpretation of satellite image data. The results of the study are that land cover based on the results of the interpretation of satellite imagery is classified into four classes, namely fields / gardens, fields, built up land and water bodies. In the last 20 years the cover class of upland / garden land continues to experience a downward trend, while the built-up land cover class continues to increase. Changes in land cover in the karst area of Gunem Subdistrict during the period of 1997-2017 were influenced by factors of human activity which included population growth, housing needs, and supporting facilities. This result is expected to be a consideration in carrying out sustainable development planning and placing karst as a protected area.

scholarly journals Land-Use and Land-Cover Change in Dhaka Eastern Region and Its Impact on Surface Run-off

2020 ◽  
Vol 8 ◽  
pp. 35-47
Author(s):  
Md. Habibul Huq ◽  
Md. Mafizur Rahman
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landsat Imagery ◽  
Image Data ◽  
Annual Rainfall ◽  
Eastern Region ◽  
Rs And Gis ◽  
Run Off ◽  
Gis Tools ◽  
Remotely Sensed Image

The aim of this study is to identify the impending urbanization-led land-use and land-cover (LULC) change of Dhaka Eastern Region (DER) and assessing its impact on surface runoff. Remotely sensed image data and proposed land-use plans for DER is analyzed and mapped in this study to detect the changes of LULC. A faster pace of land transformation was observed during 2016-17 from unpaved to the paved surface. Four post-developed LULC scenarios were predicted from the classified Landsat imagery of 2016-17 with increasing imperviousness. Runoff was estimated by SCS-CN method integrating RS and GIS tools. LULC changes according to land cover classes were assimilated with the hydrologic soil groups and then runoff depths were estimated for annual rainfall events in DER. Like the slower trend of urbanization, area-weighted CN also increased slowly during 2016-17 but followed a moderate leap in RDP and scenario-1. However, CN dropped in scenario-2 mainly due to the change in land-cover by infilling of highly permeable hydrologic soils. Predicted scenario-3 and 4 resulted in higher CN respectively because of increasing imperviousness in LULC. Higher CN resulted in higher runoff and more drainage requirements. RDP scenario or the predicted scenario-1 with CN 84 is potentially a viable LULC option for DER by 2035 and beyond that may cause more than 30% to 50% runoff comparing to the representative 2010 LULC condition.

scholarly journals Impact of Land Use/Land Cover Change on Hydrological Components in Chongwe River Catchment

2019 ◽  
Vol 11 (22) ◽  
pp. 6415 ◽  
Author(s):  
Tena ◽  
Mwaanga ◽  
Nguvulu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landsat Imagery ◽  
Irrigated Agriculture ◽  
Catchment Management ◽  
Land Use Land Cover ◽  
Weap Model ◽  
Lulc Change ◽  
River Catchment ◽  
The Impact

Chongwe River Catchment, a sub-catchment of the Zambezi River Basin, has been experiencing changes in land use/land cover (LULC) and in its hydrology. This study aims to assess the impact of LULC changes on the catchment’s hydrological components such as streamflow, evapotranspiration and water abstractions. LULC change data, detected from the 1984, 1994, 2014 and 2017 USGS Landsat imagery using a maximum likelihood supervised classifier, were integrated into the WEAP Model along with soil, slope and hydro–climate data. The results showed that between 1984 and 2017 built-up area increased by 382.77% at 6.97 km2/year, irrigated agriculture increased by 745.62% at 1.70 km2/year, rainfed farms/ranch/grassland increased by 14.67% at 14.53 km2/year, forest land decreased by 41.11% at 22.33 km2/year and waterbodies decreased by 73.95% at 0.87 km2/year. Streamflow increased at a rate of 0.13 Mm3 per annum in the wet seasons and showed a high variation with flow volume of 79.68 Mm3 in February and 1.01 Mm3 in September. Annual actual evapotranspiration decreased from 840.6 mm to 796.3 mm while annual water abstraction increased from 8.94 mm to 23.2 mm from the year 1984 to 2017. The pattern of LULC change between 1984 and 2017 has negatively impacted the hydrology of the Chongwe River Catchment. From these findings, an integrated catchment management and protection approach is proposed to mitigate the negative impacts of LULC dynamics on hydrological components in the Chongwe River Catchment.

scholarly journals Assessing the Accuracy of Different Supervised Classification Methods of Satellite Image

2020 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Ibochi Andrew Abah ◽  
Richard jeremiah Uriah
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Supervised Classification ◽  
Accuracy Assessment ◽  
Satellite Image ◽  
Image Data ◽  
Image Process ◽  
Land Use Land Cover ◽  
Error Matrix

Assessing the accuracy of the classification map is an essential area in remote sensing digital image process. This is because a poorly classified map will result in inestimable errors of spatial analysis and modeling arising from the use of such data. This study was designed to evaluate different supervised classification algorithms in terms of accuracy assessment with a view of recommending an appropriate algorithm for image processing. The analysis was carried out using Andoni L.G.A. Rivers State, Nigeria as the study area. Supervised classification of ETM+ 2014 Landsat image of the study area was carried out using ENVI 5.0 software. Seven land use/land cover categories were identified on the image data and appropriate information classes were also assigned using region of interest. The classifiers adopted for the study include SAM, SVM, and MDC and each classifier was set using appropriate thresholds and parameters. The output error matrix of the classified map produced overall accuracy and kappa coefficient for MDC as 94.00% and 0.91, SAM as 64.45% and 0.53, and SVM as 98.92% and 0.98 respectively. The overall accuracy obtained from SVM indicates that a perfect classification map will be produced from the algorithm. The advanced supervised classification should be utilized for classification of land use/ land cover for both high and medium resolution images for improved classification accuracy.

scholarly journals Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990

2014 ◽  
Vol 6 (1) ◽  
pp. 658-676 ◽  
Author(s):  
Marian Vittek ◽  
Andreas Brink ◽  
Francois Donnay ◽  
Dario Simonetti ◽  
Baudouin Desclée
Keyword(s):  
Land Cover ◽  
West Africa ◽  
Land Cover Change ◽  
Satellite Image ◽  
Image Data ◽  
Satellite Image Data ◽  
Change Monitoring

scholarly journals Geospatial Modelling Approach for Interlinking of Rivers: A Case Study of Vamsadhara and Nagavali River Systems in Srikakulam, Andhra Pradesh

2014 ◽  
Vol XL-8 ◽  
pp. 127-132 ◽  
Author(s):  
A. Swathi Lakshmi ◽  
S. Saran ◽  
S. K. Srivastav ◽  
Y. V. N. Krishna Murthy
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Andhra Pradesh ◽  
Satellite Image ◽  
Holistic Approach ◽  
Land Use Land Cover ◽  
River Systems ◽  
Geospatial Modelling ◽  
Floods And Droughts ◽  
The Impact

India is prone to several natural disasters such as floods, droughts, cyclones, landslides and earthquakes on account of its geoclimatic conditions. But the most frequent and prominent disasters are floods and droughts. So to reduce the impact of floods and droughts in India, interlinking of rivers is one of the best solutions to transfer the surplus flood waters to deficit/drought prone areas. Geospatial modelling provides a holistic approach to generate probable interlinking routes of rivers based on existing geoinformatics tools and technologies. In the present study, SRTM DEM and AWiFS datasets coupled with land-use/land -cover, geomorphology, soil and interpolated rainfall surface maps have been used to identify the potential routes in geospatial domain for interlinking of Vamsadhara and Nagavali River Systems in Srikakulam district, Andhra Pradesh. The first order derivatives are derived from DEM and road, railway and drainage networks have been delineated using the satellite data. The inundation map has been prepared using AWiFS derived Normalized Difference Water Index (NDWI). The Drought prone areas were delineated on the satellite image as per the records declared by Revenue Department, Srikakulam. Majority Rule Based (MRB) aggregation technique is performed to optimize the resolution of obtained data in order to retain the spatial variability of the classes. Analytical Hierarchy Process (AHP) based Multi-Criteria Decision Making (MCDM) is implemented to obtain the prioritization of parameters like geomorphology, soil, DEM, slope, and land use/land-cover. A likelihood grid has been generated and all the thematic layers are overlaid to identify the potential grids for routing optimization. To give a better routing map, impedance map has been generated and several other constraints are considered. The implementation of canal construction needs extra cost in some areas. The developed routing map is published into OGC WMS services using open source GeoServer and proposed routing service can be visualized over Bhuvan portal (<a href="http://http://www.bhuvan.nrsc.gov.in/" target="_blank">http://www.bhuvan.nrsc.gov.in/</a>).Thus the obtained routing map of proposed canals focuses on transferring the surplus waters to drought prone areas to solve the problem of water scarcity, to properly utilize the flood waters for irrigational purposes and also help in recharging of groundwater. Similar methodology can be adopted in other interlinking of river systems.

scholarly journals Flash Flood Characteristics of Ciberang River, Its Impact and Mitigation

2021 ◽  
Vol 930 (1) ◽  
pp. 012085
Author(s):  
V Say ◽  
D Legono ◽  
A P Rahardjo ◽  
R A Yuniawan
Keyword(s):  
Flash Flood ◽  
Satellite Image ◽  
Image Data ◽  
Steep Slope ◽  
Decision Makers ◽  
Mountainous Regions ◽  
Impact Area ◽  
Satellite Image Data ◽  
The Impact ◽  
Flood Characteristics

Abstract Flash flood is a deadly natural disaster that develops at space and time scales caused by high rainfall intensities and frequently occurs. It occurs in mountainous regions with steep slope relief and often causes a loss of economy, society, and environment and threatens human lives. The Ciberang river is located at Lebak district, Banten Province, and has been experiencing a significant flash flood from December 31, 2019 to January 01, 2020, which contributed to various damages, including households nearby the river. In this study, the impact areas were identified with the HEC-RAS model and satellite image data. The impact area was damage on eight sub-districts, including agriculture (77.86 Ha), buildings (0.80 Ha), roads (2.5 km), and nine bridges. In addition, this study tried to build Sabo Dam upstream of Banjar Irigasi sub-districts to respond to the flash flood occurrence. The results have reduced the discharge to around 40 m3/s, and the travel time was delayed about 53 min. The results of this study help the community and decision-makers be ready for further flash flood disasters.

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