Analysis of Land Use/Land Cover Changes Using Remote Sensing and GIS Techniques in Parbhani City, Maharashtra, India (original) (raw)
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Land Use and Land Cover Change Detection in East Godavari District, India (2002-2020)
Asian Journal of Agricultural Extension, Economics & Sociology
Land Use Land Cover (LULC) dynamics must be monitored and mapped because changes in land cover reflect the state of the ecosystem and provide a clear picture of optimal natural resource utilization. The goal of this study was to use Remote Sensing and Geographical Information System techniques to classify and map LULC in the study area. This research is divided into two sections: (1) LULC classification and (2) Accuracy assessment. Between the years 2002 and 2020, satellite remote sensing data was acquired from the United States Geological Survey and analyzed using Arc GIS 10.1 software. The study region was divided into six major LULC types: agricultural land, built up area, barren land, forest and sediment using the likelihood classified approach and quantifying the changes throughout the time period indicated. According to the findings, Settlement area increased from 1.22 % in 2002 to 10.8 % in 2020, barren land increased from 7.58 % to 12.96 % in the same period, agricultural ar...
Knowledge of both land-use and land cover is important for socio-economic planning of a region. While the land use relates to human activities like residential, institutional, commercial and recreational etc., the land cover term relates to the various types of features present on the surface of the earth (Lillesand and Keifer, 2000). The information gained like landuse/land-cover permits a better understanding of the land utilization aspects on cropping patterns, fallow lands, forest, wastelands and surface water bodies, which is essential for developmental planning. Viewing the Earth from space is now crucial to the understanding of the influence of man’s activities on his natural resource base over time. In situations of rapid and often unrecorded land use change, observations of the earth from space provide objective information of human utilization of the landscape. Over the past years, data from earth sensing satellites has become vital in mapping the earth’s features and infrastructures, managing natural resources and studying environmental change. Urbanization is one of the most evident global changes.
JOURNAL OF AGRISEARCH
An attempt has been made to analyze the LULC change pattern of Nagpur over the past decade (2010-2020) using remote sensing and GIS. In this study, the LULC map for selected years was prepared by supervised classification using a maximum likelihood algorithm from Landsat data, and accuracy assessment by confusion matrix. The results showed that there were major changes in built-up areas (17.37% expansion) and barren land (19.32% deduction). However, water bodies and forest cover decreased slightly by 0.17% and 0.76%, respectively. Overall, the acreage used for agriculture increased by 2.88% and seems to have been replaced by barren / forest areas. Overall, the LULC change detection algorithms used for classification was very effective with an overall accuracy of 78.88 and 73.30% and a kappa coefficient of 0.74 and 0.67, respectively for 2010 and 2020, considered substantial. Overall, Nagpur's land cover changes constantly due to overcrowding; water and forest bodies are adversel...
2019
Nowadays, land use and land cover (LULC) changes due to both human beings and natural environment. Consequently, LULC changes impact on water resources such as forestry, water bodies, agriculture land, wetland, urbanization, industrialization and so on. The aim of this research is to detect LULC changes in Belin Township. ERDAS IMAGINE 2015 and ArcGIS 10.4.1 have been used to analyze the images processing and classification. LULC conditions of this area for the time periods 1999, 2009 and 2018 have been considered and downloaded from Landsat ETM+ satellites images. Maximum likelihood method has been conducted in supervised image classification technique. The ground truth data or reference points are used to classify the image classification applying Google Earth Pro. Moreover, forest, settlement, water bodies, agriculture and bare land of five LULC classes are identified in this study. Bare land and Settlement are significantly unchanged during two decades. Further, forest area was increased approximately 22.36% between 1999 and 2018. However, the water bodies of this study area were decreased slightly. LULC by agriculture land was decreased between 1999 and 2018. The finding results of this research paper can contribute effectively about LULC change detection and help decision makers to develop plan in this study area.
Change Detection in Land Use and Land Cover Using Remote Sensing Data and GIS (2002-2011): A case study on Rangpur District)
This short analysis examines the use of GIS and Remote Sensing in mapping Land Use Land Cover in Rangpur District between 2002 and 2011, so as to detect the changes that have taken place in this status between these periods. Acquired satellite images of the following time are corrected using ENVI 5.1. Maximum Likelihood classification method has used in this study to evaluate the signature class. Image difference technique is used to evaluate the change between two images with Erdas Imagine 9.1. Areas of the different class are calculated via Idrisi Selva. Finally, comparison and final layout are made by ArcGIS 10.3 software. The result of the work shows rapid growth in built-up land between 2002 and 2011, and a decreasing trend of the water body and barren land has shown in this study.
"CHANGE DETECTION ANALYSIS OF LAND USE / LAND COVER OF AURANGABAD CITY USING REMOTELY SENSED DATA"
Maharashtra Bhugolshastra Sanshodhan Patrika, 2018
The study of land use / land cover changes is an essential feature of urban geography. The process of urbanization is a universal phenomenon taking place all over world and has increasingly become a major issue facing many metropolitan areas. The land use/land cover pattern of a city or region is an outcome of natural and socioeconomic factors and its utilization by man in time and space. Land is becoming a scarce resource due to immense agricultural activity, urban sprawl and demographic pressure. Hence, information on land use / land cover and possibilities for its optimal use is essential for the selection, planning and implementation of land use schemes to meet the increasing demands for basic human needs and welfare. The information also assists in monitoring the dynamics of land use resulting out of changing demands of increasing population. It is also useful to the different departments and government agencies like revenue, agriculture, irrigation, forest, environment, urban development & urban planners for land use planning and decision making. For betterment of human beings well planning of city is needed. In this regard there is need to study urban growth and land use /land cover. Land use / land cover layers represent the digital image of city classified into ten classes as residential, commercial, industrial, transportation, agriculture, vegetation, barren, scrub, mixed land and water bodies etc. The area was measured and presented in tabular form to get the clear scenario of land use / land cover. During the years 1989-2000 the major changes were detected in the residential and industrial land use category and significant change also observed in commercial, transportation and barren land use. Other categories like agriculture, vegetation, scrub, mixed land and water bodies land use declined in the period of investigation. During the years 2000-2008 the major changes were detected in the residential, barren land, industrial, transportation land use category and also significant change in commercial and mixed land use. Other categories expect from above was declined in the period of investigation. Introduction: Urbanization has become a dominant trend all over the world. It is responsible for extraordinary growth of cities and towns, particularly in the economically developed and developing areas. India has also shown a considerable level of urbanization mainly after independence. However, urban growth is not same everywhere and every time. Few urban centers show faster pace of growth, while other witnesses slow growth or stagnation. In fastly growing urban areas, due to over concentration of population certain problem arises such as inadequate housing, drinking water, sanitation, health, employment and education facilities. The study of land use / land cover changes is an essential feature of urban geography. The process of urbanization is a universal phenomenon taking place all over world and has increasingly become a major issue facing many metropolitan areas. The land use/land cover pattern of a city or region is an outcome of natural and socioeconomic factors and its utilization by man in time and space. Land is becoming a scarce resource due to immense agricultural activity, urban sprawl and demographic pressure. Hence, information on land use / land cover and possibilities for its optimal use is essential for the selection, planning and implementation of land use schemes to meet the increasing demands for basic human needs and welfare. The information also assists in monitoring the dynamics of land use resulting out of changing demands of increasing population. It is also useful to the different
Temporal land cover changes have a strong effect on the urban environment and its surroundings. In the present study, Delhi metropolitan area has been considered for the detection of land cover changes using Landsat images of 1989 and 2011. Emphasis has been given to identify the extent of urban expansion duly responsible for land cover changes. Remote sensing and GIS techniques have that potential to analyze this change for the time span of 22 years. Imageries have been classified digitally using Maximum Likelihood Classification (MLC) algorithm and have been validated through the process of accuracy assessment. Here the overall accuracy achieved for classified images is more that 80%. Areal change matrix and transitional probability matrix have also applied to identify the changes in land cover. It is found that urban area, fallow land and vegetation have changed drastically in Delhi.
This project examines the use of GIS and Remote Sensing in mapping Land Use Land Cover in Rangpur District between 2002 and 2011, so as to detect the changes that have taken place in this status between these periods. Acquired satellite images of the following time are corrected using ENVI 5.1. Maximum Likelihood classification method has used in this study to evaluate the signature class. Image difference technique is used to evaluate the change between two images with Erdas Imagine 9.1. Areas of different class are calculated via Idrisi Selva. Finally comparison and final layout is made by ARCGIS 10.3 software. The result of the work shows a rapid growth in built-up land between 2002 and 2011, and decreasing trend of water body and barren land has shown in this study. Suggestions were therefore made at the end of the work on ways to use the information as con tainted therein optimally.
Land is one of the prime natural resources of a country. Land use and land cover may be refer to as human activity likes as built-up (Residential, Commercial, Agricultural land, Recreation area) and land cover is referred to natural vegetation, water bodies and hill area. Nashik city as study region of used IRS satellite data for the years of 1981, 2011.The Topographical base map (SOI)and the four satellite images likes as LISS-III are enhanced using spatial enhancement methods with edge enhance function. Supervised classification method is used to classify the land use and land cover of the study area. The Geographical information system is used to prepare the different layers belonging to various land uses identified from remotely sensed data. Land use land cover analysis of the results shows the drastic increase of built up area and reduced vegetation cover with in the city boundary limit.
Due to the rapid course of urbanization, the haphazard growth of major cities is one of the challenging situations in front of any country. As unorganized urbanization is becoming the major problem, it requires the immediate solution for sustainable development of urban land. In the emerging scenario it is essential to have updated information on urban growth patterns and its impact on the living environment. The growth and development of cities are likely to continue and therefore there will be a need for proper planning and managing or improving the existing infrastructure facilities. In this juncture, the state of the art technologies Remote Sensing (RS) and Geographic Information System (GIS) can play an imperative role. Pune metropolis is one such rapidly developing city in Maharashtra. This paper explores the study of Urbanization growth of Pune city using RS data and GIS.