Evaluating Land Use/Land Cover Change Dynamics in Bhimtal Lake Catchment Area, Using Remote Sensing &amp; GIS Techniques

Panwar, Shikha

doi:10.4172/2469-4134.1000199

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…GIS is a computer system that captures, stores, analyzes, and presents geographic data and has become an important tool for determining the direction of urban development [39,40]. The flexible framework provided by GIS makes it possible to gather, store, display, and analyze the digital data required for change detection [41]. As a result, they have been widely used to create accurate urban development maps that can be used in urban planning and governance in several studies [42][43][44][45].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate

Tabark Y. Gehad,

Nejat Q. Omer,

Nada S. Abdulmajeed

2024

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The growth of cities around the world creates difficulties for governments due to the strain it puts on resources and the negative impact on the environment and living conditions for residents. The Kirkuk Governorate has experienced significant urban growth in recent years, causing various environmental, economic, and social issues. the study aims to monitor the growth of Kirkuk Governorate from 1990-2020 using multi-spectral Landsat images to better understand urban development. Landsat-5 TM for 1990, Landsat-7 ETM+ for 2000, Landsat-5 TM for 2010, and Landsat-8 OLI for 2020 were used for this study. The Supervised Maximum Likelihood algorithm was utilized to categorize images into urban and non-urban areas, with accuracy rates ranging from 91.25% to 96.66% between 1990 and 2020. Post-classification change detection analysis was also conducted to observe changes in urban growth, revealing that the studied city expanded from 46.96 km2 to 193.25 km2 over 30 years. Over the past thirty years, the urban area of Kirkuk Governorate has increased while the non-urban area has decreased. This is due to factors such as population growth, political changes, and economic development. This study provides valuable information about this urban growth and can be used as a foundation for future studies on the region's socioeconomic and environmental changes.

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Section: Introductionmentioning

confidence: 99%

Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate

Tabark Y. Gehad,

Nejat Q. Omer,

Nada S. Abdulmajeed

2024

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“…Municipal wastewater discharges, failing septic systems and sewage overflows may contribute to create sanitary and environmental problems in urban lakes (Yang et al, 2020). Increasing population contributes to small as well as large scale land use land cover (LULC) changes, especially from the perception of demand for built-up area, industrial and agricultural activities (Panwar, 2017;Rahman et al, 2012). With the increase in urban population and expansion of big cities presents the severe problem between urban expansion and lake protection (Seto et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Lake water volume calculation using time series LANDSAT satellite data: a geospatial analysis of Deepor Beel Lake, Guwahati

Ahmed

Shahfahad

Baig

et al. 2021

FEBE

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PurposeDeepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.Design/methodology/approachThe lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.FindingsThe MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m3 in 2001 to 16.73 million m3 in 2011 and further declined to 15.35 million m3 in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.Originality/valueNone of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

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“…RS images efficiently record LULC conditions and offer a tremendous source of data, from which updated LULC information and changes can be extracted, analysed and simulated efficiently in the detection and monitoring of land uses at different scales (Rai et al, 2017;Singh et al, 2017). GIS on the other hand offers a flexible environment for collecting, storing, displaying and analysing digital data necessary for change detection (Panwar and Malik 2017). Although there are several methods for detecting and analysing LULC changes (Lu et al 2004;Ayele et al 2018), RS and GIS approaches make it possible to effectively monitor and forecast the trends in LULC changes via the study of historical remotely sensed imagery.…”

Section: Introductionmentioning

confidence: 99%

Geospatial assessment of land use and land cover dynamics in the mid-zone of Ghana

Koranteng

Adu-Poku

Donkor

et al. 2020

Folia Forestalia Polonica

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Land use and land cover (LULC) terrain in Ghana has undergone profound changes over the past years emanating mainly from anthropogenic activities, which have impacted countrywide and sub-regional environment. This study is a comprehensive analysis via integrated approach of geospatial procedures such as Remote Sensing (RS) and Geographic Information System (GIS) of past, present and future LULC from satellite imagery covering Ghana’s Ashanti regional capital (Kumasi) and surrounding districts. Multi-temporal satellite imagery data sets of four different years, 1990 (Landsat TM), 2000 (Landsat ETM+), 2010 (Alos and Disaster Monitoring Constellation-DMC) and 2020 (SENTINEL), spanning over a 30-year period were mapped. Five major LULC categories – Closed Forest, Open Forest, Agriculture, Built-up and Water – were delineated premised on the prevailing geographical settings, field study and remote sensing data. Markov Cellular Automata modelling was applied to predict the probable LULC change consequence for the next 20 years (2040). The study revealed that both Open Forest and Agriculture class categories decreased 51.98 to 38.82 and 27.48 to 20.11, respectively. Meanwhile, Built-up class increased from 4.8% to 24.8% (over 500% increment from 1990 to 2020). Rapid urbanization caused the depletion of forest cover and conversion of farmlands into human settlements. The 2040 forecast map showed an upward increment in the Built-up area up to 35.2% at the expense of other LULC class categories. This trend from the past to the forecasted future would demand that judicious LULC resolutions have to be made to keep Ghana’s forest cover, provide arable land for farming activities and alleviate the effects of climate change.

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Evaluating Land Use/Land Cover Change Dynamics in Bhimtal Lake Catchment Area, Using Remote Sensing & GIS Techniques

Cited by 3 publications

References 10 publications

Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate

Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate

Lake water volume calculation using time series LANDSAT satellite data: a geospatial analysis of Deepor Beel Lake, Guwahati

Geospatial assessment of land use and land cover dynamics in the mid-zone of Ghana

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