scholarly journals Role of a Mine in Changing Its Surroundings—Land Use and Land Cover and Impact on the Natural Environment in Barapukuria, Bangladesh

2021 ◽  
Vol 13 (24) ◽  
pp. 13602
Author(s):  
Hossain Mohammad Arifeen ◽  
Md. Shahariar Chowdhury ◽  
Haoran Zhang ◽  
Tanita Suepa ◽  
Nowshad Amin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Agricultural Land ◽  
Research Work ◽  
Geographical Information ◽  
Landsat 8 ◽  
The Impact

Land use and land cover (LULC) change is considered among the most discussed issues associated with development nowadays. It is necessary to provide factual and up-to-date information to policymakers to fulfil the increasing population’s food, work, and habitation needs while ensuring environmental sustainability. Geographical Information System (GIS) and Remote sensing can perform such work adequately. This study aims to assess land use and land cover changes concerning the Barapukuria coal mine and its adjacent areas in Bangladesh by applying remote sensing and GIS (geographical information system) techniques. This research work used time-series satellite images from the Landsat 7 ETM+ satellite between 1999 and 2009 and the Landsat 8 OLI/TIRS satellite for 2019. Supervised classification maximum likelihood classifier matrix was implemented using ERDAS Imagine 2018. The images were categorised into four definite classes: settlement, agricultural land, forest land, and waterbody. Analytical results clearly indicated that settlements and agricultural land had increasing and decreasing trends over the past 20 years, respectively. Settlements increased from 22% to 34% between 1999 and 2019. However, agricultural land reduced from 69% to 59% in the same period. Settlements grew by more than 50% during this period. The research had an overall accuracy of 70%, while the kappa coefficient was more than 0.60. There were land subsidence issues because of mining activities, leading to 1.003 km2 area being depressed and 1500 houses cracked. This research depicts the present LULC scenario and the impact of the coalfield area. It is expected to reduce the burden on policymakers to prepare a proper and effective mines development policy in Bangladesh and meet sustainable development goal (SDG) 15 (Life on land).

scholarly journals Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin

2017 ◽  
Vol 12 (3) ◽  
pp. 678-684
Author(s):  
Jagriti Tiwari ◽  
S.K. Sharma ◽  
R.J. Patil
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Water Body ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Geographical Information ◽  
River Watershed

The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.

Analysis of Land Use Land Cover Changes Using Remote Sensing Data and Geographical Information Systems (GIS) at an Urban Set up of Damaturu, Nigeria

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Karagama Kolo Geidam ◽  
◽  
Nor Aizam Adnan ◽  
Baba Alhaji Umar ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Research Work ◽  
Ground Truth ◽  
Geographical Information ◽  
Land Cover Changes ◽  
Land Use Land Cover

Change detection is useful in many applications related to land use and land cover change (LULCC), such as shifting cultivation and landscape changes. Land degradation and desertification. Remote sensing technology has been used for the detection of the changes in land use land cover in Damaturu town Nigeria. The main objectives of this research is to derive the land use/cover change map of Damaturu town from 1986 to 2017 and to quantify land use/ land cover change in the study area. Methodology employed while carry the research includes three satellites images for the year 1986, 1998 and 2017 were downloaded from USGS websites and used for detecting the land cover changes. Ground truth points were collected using google images and used for verification of image classifications. The accuracy of images classification was checked using ground truth point which showed the overall accuracy of 84.6% and a kappa coefficient of 0.89 which indicated that the method of classification was accurate. In the process of the research work, an increased was recorded in the built-up area which rose from 7.2% to 22.0%, open space increased from 10.8 to 22.8%, vegetation from 4.0% to 9.7%, water bodies from 0.0% to 0.1% while agricultural land decreased from 78% to 45.4% due to increase in interest of building as a result of the expansion of the town. The study arrived at the conclusion that there has been a significant land use change due to increase in population and development interest in built up areas which resulted in increased of amount of agricultural land being converted to build up areas over the period of 31 years.

scholarly journals Rainfall prediction to evaluate the flood risk using remote sensing and geographical information system

2021 ◽  
Vol 1 (2) ◽  
pp. 14-22
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Flood Risk ◽  
Curve Number ◽  
Geographical Information ◽  
Runoff Curve Number

Abstract: In this study, the runoff curve number map for Navrud watershed in north of Iran was determined based on the soil hydrological group, land-use and land-cover using remote sensing and geographical information system. For this objective, land-cover and Land-use situation maps were prepared using NDVI index and Landsat satellite data, respectively. Runoff curve number maps were determined using the overlay prepared maps in GIS and SCS table. For evaluating the accuracy of estimated curve numbers, runoff maximum discharge was calculated using HEC-HMS model and compared to the observed values. Furthermore, the climate change trend and probabilistic distribution functions were considered to predict the flood risk. The effects of climate change were defined by atmospheric general circulation models for A1B, A2 and B1 scenarios. Error analysis between calculated and observed discharge showed that watershed curve number was determined with acceptable accuracy.

scholarly journals SEBARAN PENGGUNAAN LAHAN PERTANIAN DI KOTA TARAKAN DAN PREDIKSI POTENSI BAHAYA EROSI BERBASIS (SIG)

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Nur Indah Mansyur, S.P., M.P ◽  
Ramdani A.I
Keyword(s):  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Agricultural Land ◽  
Geographical Information ◽  
Dry Land ◽  
Digital Elevation ◽  
Open Land ◽  
Elevation Model

ABSTRACTLand use analysis is useful to identify the mechanisms of changes that occur in a land through a spatial approach in the Geographical Information System. The spatial approach is carried out by using the Arcgis program to analyze geographic data into map units. This study aimed to (1) determine the design of a Geographical Information System (GIS) in an inventory of the use and erosion potential hazards of agricultural land in Tarakan, and (2) inform the use and erosion potential hazards of agricultural land in Tarakan. this study took spatial data from the Public Works and Spatial Planning Office (DPUTR) of Tarakan, Digital Elevation Model (DEM) data to analyze the slope and height of Tarakan and field surveys using GPS. The results showed that the area of agricultural land use in Tarakan in general was 75.33%, dominated by forest land use 38.91%, non-residental open land 25.72%, agriculture 9.35% and plantation land 1.35%. In the land use system, it was never separated from the type of land cover. There were 10 types of land cover in Tarakan including urban forest, dry land forest, swamp/peat forest, mixed garden, dry land/fields, open land, shrubs, orchid botanical gardens, meadows and rice fields. Tarakan had the potential for erosion hazards which could be seen from the slope factor. From 2012-2020, there was an erosion of the area of the slope in each class, namely flat, sloping, steep, rather steep and very steep as well as a reduction in height from 124 MASL in 2012 to 107 MASL in the year 2020. With the existence of land cover and the potential danger of erosion, the land management approach in Tarakan must prioritize aspects of land intensification and conservation, so that the ecosystem can be maintained in a sustainable manner.Keywords : Land Use, Geographical Information System (GIS), Erosion Hazard Potential ABSTRAKAnalisis penggunaan lahan berguna untuk mengidentifikasi mekanisme perubahan-perubahan yang terjadi pada suatu lahan melalui pendekatan spasial dalam Sistem Informasi Geografis. Pendekatan spasial dilakukan dengan menggunakan program Arcgis untuk menganalisis data  geografis kedalam satuan peta. Penelitian ini bertujuan untuk (1) mengetahui rancangan Sistem Informasi Geografis (SIG) dalam inventarisasi penggunaan dan potensi bahaya erosi lahan pertanian di Kota Tarakan, dan (2) menginformasikan penggunaan dan potensi bahaya erosi lahan pertanian di Kota Tarakan.. Penelitian ini mengambil data spasial dari Dinas Pekerjaan Umum dan Tata Ruang (DPUTR) Kota Tarakan, data Digital Elevation Model (DEM) untuk menganalisis kemiringan lereng serta ketinggian Kota Tarakan dan survey lapangan menggunakan GPS. Hasil penelitian menunjukkan bahwa luas penggunaan lahan pertanian di Kota Tarakan secara umum 75,33%, didominasi penggunaan lahan hutan 38,91%, lahan terbuka non pemukiman 25,72%, pertanian secara khusus 9,35% dan lahan perkebunan 1,35%. Dalam sistem penggunaan lahan tidak pernah terlepas dari jenis tutupan lahan, tutupan lahan di Kota Tarakan terdapat 10 jenis tutupan meliputi hutan kota, hutan lahan kering, hutan rawa/gambut, kebun campuran, tegalan/ladang, lahan terbuka, semak belukar, kebun raya anggrek, padang rumput dan sawah. Kota Tarakan memiliki potensi bahaya erosi dapat dilihat dari faktor kemiringan lereng dari tahun 2012-2020 terjadi pengikisan luas kemiringan lereng di setiap kelasnya yaitu datar, landai, curam, agak curam dan sangat curam serta terjadinya pengurangan ketinggian dari 124 mdpl tahun 2012 menjadi 107 mdpl ditahun 2020. Dengan adanya tutupan lahan dan potensi bahaya erosi tersebut maka pendekatan pengelolaan lahan di Kota Tarakan harus lebih mengedepankan aspek intensifikasi dan konservasi lahan, agar ekosistem dapat terpelihara secara berkelanjutan.Kata kunci : Penggunaan Lahan, Sistem Informasi Geografis (SIG), Potensi Bahaya Erosi

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

scholarly journals Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS

2020 ◽  
Vol 12 (9) ◽  
pp. 3925 ◽  
Author(s):  
Sonam Wangyel Wang ◽  
Belay Manjur Gebru ◽  
Munkhnasan Lamchin ◽  
Rijan Bhakta Kayastha ◽  
Woo-Kyun Lee
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Water Bodies ◽  
Geographical Information ◽  
Land Cover Changes ◽  
Rapid Urbanization ◽  
Urbanized Areas

Understanding land use and land cover changes has become a necessity in managing and monitoring natural resources and development especially urban planning. Remote sensing and geographical information systems are proven tools for assessing land use and land cover changes that help planners to advance sustainability. Our study used remote sensing and geographical information system to detect and predict land use and land cover changes in one of the world’s most vulnerable and rapidly growing city of Kathmandu in Nepal. We found that over a period of 20 years (from 1990 to 2010), the Kathmandu district has lost 9.28% of its forests, 9.80% of its agricultural land and 77% of its water bodies. Significant amounts of these losses have been absorbed by the expanding urbanized areas, which has gained 52.47% of land. Predictions of land use and land cover change trends for 2030 show worsening trends with forest, agriculture and water bodies to decrease by an additional 14.43%, 16.67% and 25.83%, respectively. The highest gain in 2030 is predicted for urbanized areas at 18.55%. Rapid urbanization—coupled with lack of proper planning and high rural-urban migration—is the key driver of these changes. These changes are associated with loss of ecosystem services which will negatively impact human wellbeing in the city. We recommend city planners to mainstream ecosystem-based adaptation and mitigation into urban plans supported by strong policy and funds.

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

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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