Detection of land use and land cover change and land surface temperature in English Bazar urban centre

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2016, Volume and Issue: 20(1), P. 125 - 145

Published: Nov. 24, 2016

Present paper tends to capture the impact of land use cover (LULC) on surface temperature (LST) in English Bazar Municipality Malda District using multi spectral and temporal satellite data. Seasonal LST is extracted three phases e.g. 1991, 2010 2014. Results show that increases 0.070 °C/year 0.114 during winter summer periods respectively significant difference exist over different LULC units. Built up area retains maximum all selected phases. Correlation coefficient among deriving factors with reveals impervious maximally control (r = 0.62) followed by water bodies vegetation cover. Even a single unit like body also create differences (R2 NDBI vs. ranges from 0.47 0.607; NDVI 0.441 0.62). almost co linear aerial as indicated correlation value (0.44604 for January 0.658 April 2014) at 0.01 level significance gap between them 3.5 °C 6.5 °C. Such linearity validates models. The estimated strongly controlled LULC. As pattern getting changed, its imprint reflected air temperature. So, immediate thinking about new urbanism should be adopted, started implement arrest rising effect urban heat island.

Language: Английский

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Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2015, Volume and Issue: 18(2), P. 251 - 259

Published: Aug. 8, 2015

Evaluation of watersheds and development a management strategy require accurate measurement the past present land cover/land use parameters as changes observed in these determine hydrological ecological processes taking place watershed. This study applied supervised classification-maximum likelihood algorithm ERDAS imagine to detect Simly watershed, Pakistan using multispectral satellite data obtained from Landsat 5 SPOT for years 1992 2012 respectively. The watershed was classified into five major cover/use classes viz. Agriculture, Bare soil/rocks, Settlements, Vegetation Water. Resultant overlay maps generated ArcGIS 10 indicated significant shift Water cover soil/rock Settlements cover, which shrank by 38.2% 74.3% These transformations posed serious threat resources. Hence, proper is required or else resources will soon be lost no longer able play their role socio-economic area.

Language: Английский

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Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China

PLoS ONE, Journal Year: 2018, Volume and Issue: 13(7), P. e0200493 - e0200493

Published: July 13, 2018

Land use and land cover change research has been applied to landslides, erosion, planning global change. Based on the CA-Markov model, this study predicts spatial patterns of in 2025 2036 based dynamic changes using remote sensing geographic information system. integrates advantages cellular automata Markov chain analysis predict future trends studies past. Landsat 5 TM images from 1992 2003 8 OLI 2014, obtained a classification map for each year. Then, genetic transition probability was by IDRISI software. predicted 2014 obtained, it validated actual results with Kappa index 0.8128. Finally, Jiangle County were determined. This can provide suggestions basis urban development County.

Language: Английский

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Change detection techniques for remote sensing applications: a survey

Earth Science Informatics, Journal Year: 2019, Volume and Issue: 12(2), P. 143 - 160

Published: March 8, 2019

Language: Английский

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Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2017, Volume and Issue: 21(1), P. 37 - 47

Published: Jan. 6, 2017

The degraded Chunati wildlife sanctuary (CWS) has undergone various land use changes since 1980s. In this study, of CWS were assessed from 2005 to 2015 by using Landsat TM and 8 OLI/TIRS images. ArcGIS v10.1 ERDAS Imagine v14 used process satellite imageries quantitative data for change assessment study area. Maximum likelihood classification algorithm was in order derive supervised classification. It found that about 256 ha forest area had been increased within 10 years (2005–2015) the annual rate 25.56%. Another 159 naturally forested changed other uses having an (−) 15.88%. overall accuracy 92.16% 2015, 86.15% 2010, 83.96% with Kappa values 0.89, 0.82, 0.81 2005, respectively these fairly satisfactory. results would be helpful plan implement important management decisions conserve rich biodiversity sanctuary.

Language: Английский

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Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2016, Volume and Issue: 19(2), P. 223 - 234

Published: July 4, 2016

Groundwater is one of the valuable natural resources which determines health a human being in an area. The present research investigated hydrogeological determinants to assess sensitivity each factor infiltration pattern and map regional groundwater potential zone for semi-arid watershed Karnataka, India using geographic information system (GIS) satellite remote sensing. It was driest water scarcest regions country. zones are demarcated by integrating highly impacting thematic layers such as land use, soil texture depth, rainfall, slope, drainage density, lineament geomorphology. prepared from sensing images, ground truth data available secondary data. Cartosat-1 CartoDEM (30 m), IRS P6 LISS III (24 m) Landsat 8 SOI toposheet (57 B/7, 57 B/8, B/11, B/12, B/15 and57 B/16) high resolution images Google Earth were used preparation maps. ArcGIS software utilized manipulate these sets. Weight assigned class according their characteristic interrelationship with groundwater. All integrated into GIS domain, weight values added polygon attribute table. Then classified five different subclasses gained value. Only 15% total area rich resources. More than 70% moderate poor

Language: Английский

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Effect of land use land cover dynamics on hydrological response of watershed: Case study of Tekeze Dam watershed, northern Ethiopia

International Soil and Water Conservation Research, Journal Year: 2017, Volume and Issue: 5(1), P. 1 - 16

Published: March 1, 2017

Land use change is a very important issue considering global dynamics and their response to hydrologic characteristics of soil water management in catchment. A significant land has been observed the Tekeze dam The main objective this study was estimate potential impacts cover (LULC) on hydrological (stream flow sediment yield). This done by integrating SWAT model with GIS. simulation sensitivity analysis for each dividing catchment 47 sub-catchments assigning HRUs based multiple HRU definition. After analysis, calibration validation model, impact LULC were evaluated three scenarios (climate 2000s & 2008 LULC, climate 1986 1980s LULC). In watershed, had beneficial modeled watershed due transition from grass shrub agricultural land. Simulation results indicates that increasing bare areas resulted increased annual seasonal stream yield volumes. mean 6.02% (129.20–137.74 m3/s) amounts an increase 17.39% (12.54–15.18 t/ha/yr) dynamics. more sensitive months August October than others year. These demonstrate usefulness remote sensing distributed models through GIS assessing conditions relative transitions continuous manner.

Language: Английский

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Evaluation and prediction of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2017, Volume and Issue: 6(1)

Published: July 5, 2017

Land use/land cover (LU/LC) change is the challenging and continuous drivers of environment change. Understanding rate process is, therefore, basic for managing environment. This study was intended to analyze LU/LC changes from 1985 2015 periods, predict situation 2030 2045 in Andassa watershed Blue Nile basin, Ethiopia. The hybrid classification technique extracting thematic information satellite images CA-Markov model prediction were employed. Cultivated land expanding 62.7% 73.1% 2000 76.8% 2015. area built-up also slightly increased (0.1–1.1%) between periods. In contrast, forest, shrubland grassland reduced 3.5 1.9%, 26.2 15.3% 7.6 4.9% respectively. increase cultivated area, withdrawing further continued Significant amount conversions had occurred expected continue Thus, appropriate interventions revert trends are very much critical.

Language: Английский

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A review on change detection method and accuracy assessment for land use land cover

Remote Sensing Applications Society and Environment, Journal Year: 2021, Volume and Issue: 22, P. 100482 - 100482

Published: March 7, 2021

Language: Английский

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Assessing land use and land cover change detection using remote sensing in the Lake Tana Basin, Northwest Ethiopia

Sustainable Environment, Journal Year: 2020, Volume and Issue: 6(1)

Published: Jan. 1, 2020

Land use land cover (LULC) change detection based on remote sensing data is an important source of information for various decision support systems. Information derived from and to conservation, sustainable development, management water resources. This purpose this study therefore concerned with identifying the in Tana basin. To identify changes detection; data, satellite imagery image processing techniques had done within three dates 1986, 2002 2018 using sat TM 30 m resolution images. ENVI Arc GIS soft wares used changes. The classification six (water body, bushland, grassland, forestland, cultivated, residential land) class. Preprocessing images analyzed carefully accuracy assessment was tested separately kappa coefficient. results showed that overall basin 84.21%, 83.32% 91.40% coefficient 79.02%, 83.32%, 89.66% years respectively. indicated last 32 period, agricultural areas significantly increased by 15.61% 8.05% respectively Therefore, proper practices, integrated watershed management, active participation local community should be advance protect undesirable LULC

Language: Английский

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