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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The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city

Air Quality Atmosphere & Health, Journal Year: 2019, Volume and Issue: 12(10), P. 1237 - 1249

Published: Aug. 31, 2019

Language: Английский

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Monitoring land use change and measuring urban sprawl based on its spatial forms

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2016, Volume and Issue: 20(1), P. 103 - 116

Published: Aug. 30, 2016

As a response to the challenge of rapid pace urbanization and lack reliable data for environmental urban planning, especially in developing countries, this paper evaluates land use/cover change (LCLU) spatial expansion, from 1987 2013, Qom, Iran, using satellite images, field observations, socio-economic data. The supervised classification technique by maximum likelihood classifier has been employed create classified image assessed based on Kappa index. sprawl was also measured Shannon's entropy its primary forms. To our knowledge, measuring forms would contribute prioritizing policies specific regulations dealing with dominant form. Finally, LCLU growth were simulated 2022, CA-Markov model. results revealed that dramatic built-up areas led significant decrease area agriculture, gardens wasteland, 2013. obtained relative values have indicated Qom city experienced increasing sprawling over last three decades. continuous linear non-continuous developments along major roads highways are city. model estimated unsustainable trend will continue future be increased 10% 2022 resulting potential loss 438.03 ha agriculture land, 638.37 17.01 gardens. Those necessity appropriate particularly limiting main roads.

Language: Английский

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Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2018, Volume and Issue: 69, P. 175 - 185

Published: March 29, 2018

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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Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan

Environmental Science and Pollution Research, Journal Year: 2019, Volume and Issue: 27(32), P. 39676 - 39692

Published: Aug. 5, 2019

Language: Английский

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Land-Use and Land-Cover (LULC) Change Detection in Wami River Basin, Tanzania

Land, Journal Year: 2019, Volume and Issue: 8(9), P. 136 - 136

Published: Sept. 8, 2019

Anthropogenic activities have substantially changed natural landscapes, especially in regions which are extremely affected by population growth and climate change such as East African countries. Understanding the patterns of land-use land-cover (LULC) is important for efficient environmental management, including effective water management practice. Using remote sensing techniques geographic information systems (GIS), this study focused on changes LULC upstream downstream Wami River Basin over 16 years. Multitemporal satellite imagery Landsat series was used to map divided into three stages (2000–2006, 2006–2011, 2011–2016). The results change-detection analysis matrix table from 2000 2016 show extent occurring different classes, while most grassland, bushland, woodland were intensively cultivated land both downstream. These indicate that increase result growth, downstream, primary socioeconomic activity remains agriculture In general, net gain loss observed it more compared upstream. Hence, proper basin, use planning, required avoid resources-use conflict between users.

Language: Английский

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Water Contamination and Human Health Risks in Pakistan: A Review

Exposure and Health, Journal Year: 2022, Volume and Issue: 15(3), P. 619 - 639

Published: Oct. 4, 2022

Language: Английский

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Detecting and Analyzing Land Use and Land Cover Changes in the Region of Al-Jabal Al-Akhdar, Libya Using Time-Series Landsat Data from 1985 to 2017

Sustainability, Journal Year: 2020, Volume and Issue: 12(11), P. 4490 - 4490

Published: June 1, 2020

The region of Al-Jabal Al-Akhdar in northeastern Libya has undergone rapid, wide-ranging changes the land use and cover (LULC) intensified by conversion natural resources for food purpose, urbanization, other socioeconomic benefits. This study examined geographic information system (GIS) remote sensing techniques to gain a quantitative understanding spatiotemporal dynamics LULC. In addition, major factors behind LULC decline vegetation were analyzed. A post-classification comparison approach was used detect area between 1985 2017 using four Landsat images from 1985, 2000, 2010, 2017. observed indicative decrease expanse Mediterranean forest which lost 9018 ha over 32 years, 39% its total area, with highest deforestation rate registered 2010 estimated at 513 ha. year−1. Orchards rain-fed agriculture lands gained 4095 ha, matches 55% initial whereas under irrigated crops increased 2266 about 85% original area. urban built-up more than double achieved urbanization 203 ha.year−1. Results indicate an unstable trend bare low generally 50%. From outcomes this research, it is strongly recommended that urgent measures be taken conserve achieve rational agricultural Al-Akhdar.

Language: Английский

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Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data

Land, Journal Year: 2022, Volume and Issue: 11(5), P. 595 - 595

Published: April 19, 2022

Climate change is likely to have serious social, economic, and environmental impacts on farmers whose subsistence depends nature. Land Use Cover (LULC) changes were examined as a significant tool for assessing at diverse temporal spatial scales. Normalized Difference Vegetation Index (NDVI) has the potential ability signify vegetation structures of various eco-regions provide valuable information remote sensing in studying phenology cycles. In this study, we used Geographical Information System (GIS) techniques with Maximum Likelihood Classification (MLC) identify LULC 40 years Sahiwal District. Later, conducted 120 questionnaires administered local which correlate climate NDVI. The maps prepared using MLC training sites 1981, 2001, 2021. Regression analysis (R2) was performed relationship between temperature cover study area. Results indicate that build-up area increased from 7203.76 ha (2.25%) 31,081.3 (9.70%), while decreased by 14,427.1 (4.5%) 1981 2021 mean NDVI values showed overall 0.24 0.20 Almost 78% stated been changing during last few years, 72% had affected agriculture, 53% thought rainfall intensity also decreased. R2 tendency negatively connected each other. This will integrate apply best most suitable methods, tools, approaches equitable adaptation governance agricultural systems conditions. Therefore, research outcome meaningfully help policymakers urban planners sustainable management strategies level.

Language: Английский

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