Multitemporal Analysis of Land Use/Cover Changes and Landscape Fragmentation in Murshidabad District of West Bengal, India (original) (raw)

Landscape changes: analysis and classification

2014

T he paper e m phasizes the significance of a correct identification and classification of the selected conditions of the landscape as natural (original) landscape and present land use, which are representative for landscape change analysis. T he natural landscape is reconstructed as a hypothetic state, which existed before the hu m ans entered it. T he present land use is identified by CORINE land cover (CLC) m ethod in 1990 (CLC90) an 2000 (CLC2000). Long-ter m changes were identified by the co m parison of the natural landscape and CLC2000 and classified as urban develop m ent, far m ing expansion, forest and water m anage m ent. Co m parison of the CLC90 and CLC2000 data layers was used for the analysis of short-ter m landscape changes and classified in the context of i m portant driving forces as urbanization, intensification and extensification of agriculture, forestation, deforestation and other changes. T he procedures of identification and classification of the conditions a...

Land use and land cover change-induced landscape dynamics: a geospatial study of Durgapur Sub-Division, West Bengal (India)

Land use and land cover change-induced landscape dynamics: a geospatial study of Durgapur Sub-Division, West Bengal (India), 2021

This article examines the factors and process of change in the land use and land cover change-induced landscape dynamics in the Durgapur Sub-Division region of West Bengal in 1989, 2003, and 2018 by employing the satellite imageries of Landsat 5 (1989 and 2003) and Landsat 8 (2018). The images of the study area were categorized into seven specific land use classes with the help of Google Earth Pro. Based on the supervised classification methodology, the change detection analysis identified a significant increase in built-up land from 11% to 23% between 1989 and 2003 and from 23% to 29% in 2003 and 2018. The areas under fallow land and vegetation cover have mainly decreased, while the areas of industrial activities and urbanization expanded during the study period.

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...

Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using Earth Observation data-sets

Analysis of Earth observation (EO) data, often combined with geographical information systems (GIS), allows monitoring of land cover dynamics over different ecosystems, including protected or conservation sites. The aim of this study is to use contemporary technologies such as EO and GIS in synergy with fragmentation analysis, to quantify the changes in the landscape of the Rajaji National Park (RNP) during the period of 19 years (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009). Several statistics such as principal component analysis (PCA) and spatial metrics are used to understand the results. PCA analysis has produced two principal components (PC) and explained 84.1% of the total variance, first component (PC1) accounted for the 57.8% of the total variance while the second component (PC2) has accounted for the 26.3% of the total variance calculated from the core area metrics, distance metrics and shape metrics. Our results suggested that notable changes happened in the RNP landscape, evidencing the requirement of taking appropriate measures to conserve this natural ecosystem.

Land Use and Land Cover Change Mapping: A Spatio Temporal and Correlational Analysis of Ramganjmandi Tehsil, Kota, Rajasthan, India

Ecology, Environment and Conservation

Land use and Land cover signifies the human footprints on the surface of the earth. The current studydepicts the Land use and Land cover change analysis of Ramganjmandi tehsil of Kota district in Rajasthan,for a period of 30 years, 1990 to 2020. Supervised classification in ERDAS imagine software, opting maximumlikelihood classifier is used for the classification of the region into 7 classes. LANDSAT 1-5, 7, 8 Level 1collection were used for the year 1990, 2000, 2011, 2018 and 2020. The region shows a rapid change in theclasses of Mining, Agriculture, Vegetation, and waterbody. There is negative correlation between Miningarea and Vegetation (-0.68), Mining Area and Water Body (-0.86), Mining area and Cropland (-0.11), MiningArea and Open Land (-0.68), Mining area and Built-up area (0.84). The vegetation cover of the region hasalso declined from the year 1990 to 2020.

Land Use Changes Analysis Using GIS, Remote Sensing and Landscape Metrics: A Case Study of Golpayegan City, Iran

Today, human development and greater mastery over the environment has caused environmental changes occur faster and wider than before. Thus having information about these changes is essential for management and restoration of ecosystem`s sustainable normal order. Landscape metrics are quantitative tools of landscape situation. These metrics can give us a lot of information about the structure and changes of landscape components. This study has been performed to investigate the landscape changes in Golpayegan city located in Isfahan province in central Iran. In order to preparation of land cover maps and change analysis, satellite imagery 1972 (TM) and 2010 (ETM +) and class area, patch density, number of patches, mean patch size, edge density and mean shape index metrics were used. For analysis of landscape fragmentation, various metrics of landscape pattern in class level were calculated using the Fragstats software. Landscape metrics analysis shows that medium ranges have been replaced by agricultural lands, poor ranges, residential lands and bare lands. According to the results, increasing in the number of patches and decreasing in the area average are important indicators of decomposition that indicate the destruction and fragmentation of the landscape. The results of this study can be used in land evaluation, environmental studies and planning and integrated management for rational utilization of natural resources and reducing of resource degradation.

Assessment of land use and land cover change using spatiotemporal analysis of landscape: case study in south of Tehran

Environmental Monitoring and Assessment, 2016

In the recent years, dust storms originating from local abandoned agricultural lands have increasingly impacted Tehran and Karaj air quality. Designing and implementing mitigation plans are necessary to study land use/land cover change (LUCC). Land use/ cover classification is particularly relevant in arid areas. This study aimed to map land use/cover by pixel-and object-based image classification methods, analyse landscape fragmentation and determine the effects of two different classification methods on landscape metrics. The same sets of ground data were used for both classification methods. Because accuracy of classification plays a key role in better understanding LUCC, both methods were employed. Land use/cover maps of the southwest area of Tehran city for the years 1985, 2000 and 2014 were obtained from Landsat digital images and classified into three categories: built-up, agricultural and barren lands. The results of our LUCC analysis showed that the most important changes in built-up agricultural land categories were observed in zone B (Shahriar, Robat Karim and Eslamshahr) between 1985 and 2014. The landscape metrics obtained for all categories pictured high landscape fragmentation in the study area. Despite no significant difference was evidenced between the two classification methods, the object-based classification led to an overall higher accuracy than using the pixel-based classification. In particular, the accuracy of the built-up category showed a marked increase. In addition, both methods showed similar trends in fragmentation metrics. One of the reasons is that the object-based classification is able to identify buildings, impervious surface and roads in dense urban areas, which produced more accurate maps.

Decadal Land Use Land Cover Change Analysis using Remote Sensing and GIS in Nagpur city of Maharashtra, India

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...

Land Use/Land Cover Change Detection Analysis Using Remote Sensing and Gis of Dhanbad District, India

Eurasian Journal of Forest Science, 2018

Geomorphologic change in the region is studied in detail in order to understand the change of land use/land cover which may have some impact on this water body. The landuse and land-cover data of three years viz., 1991, 2001 and 2006 using remote sensing data are analyzed to evaluate the changes in the land use and land cover change. The results of the study indicate that some of the features of the land cover have not changed over a period of time which includes canal, back waters and tanks. These features occupied nearly the same area and the location has not also changed in the period of study. Land area of swampy lands gradually reduced during the 25 years of the study and it becomes extinct in the study area. Salt affected area is another type of area whose extent gradually decreased during the period of study. Improved agriculture technique, use of modern agriculture input and increased labor would have resulted in the decrease in the salt affected area. It is good for the ecosystem to reclaim the salt affected area and its conversion to optimal usage. There was a regular increase in some feature claiming more land each year, crop-land single was one of them during the entire period of study it showed an increase in the land area. Human population pressure would have been reason for this trend. Another important feature which increased in the year of study was human settlement, which increased steadily during the entire study area.

E-ISSN: 2278-179X Available online at www.jecet.org Section A: Environmental Science Sustainable Land Mapping and its Change Detection Analysis in Molakalmuru Taluk of Karnataka State, India Using Geospatial Technology

JECET, 2020

Land is one among the non-renewable resources and its mapping is a crucial decision in designing and development of land and water resources of our country. Major modification in land use patterns have been observed due to urbanization, industrialization, construction of dams, expansion of mining areas, global warming (?) etc. The present study attempts to extract valuable information of land mapping and its changes occurred over the decade from 2000 to 2010. Topomap of 1:50,000 scale from Survey of India (SoI) have been acquired as a base map, geo-rectified and digitized each individual Land Use/ Land Cover (LU/LC) themes through GIS software's. Systematic management of these lands will fulfill the needs of the atmosphere qualities, land productivity, reclamation of wastelands, restoration of soil degradation and others. Satellite based data with its multispectral and multi-temporal information provides specific design of land classes of the larger areas. Supervised classification analyses had performed on IRS-1D, PAN+LISS-III of 5.8m Sustainable… Manjunatha et al. resolution in representing the location, extent and better synoptic view of specified LU/LC classes in Molakalmuru taluk. The final results reveal the potentiality of geospatial approach in mapping and Change Detection Analysis (CDA) of LU/LC patterns for sustainable land resources and management.