scholarly journals Pattern Classification Technique to Assess Land Use/Cover Changes in Granite Quarry Area of Dharmapuri and Krishnagiri Districts of Tamilnadu

2019 ◽  
Vol 8 (12) ◽  
pp. 2947-2956
Keyword(s):  
Land Cover ◽  
Pattern Classification ◽  
Surface Mining ◽  
Land Cover Changes ◽  
Infrastructure Development ◽  
Remotely Sensed Data ◽  
Landsat Images ◽  
Rapid Phase ◽  
Temperature Loss ◽  
Granite Quarries

The rapid phase of urbanization and infrastructure development in Krishnagiri Distirct has been observed recently. The unique characteristics of the granite deposits in Krishnagiri and Dharmapuri Districts of Tamilnadu resulted in making the country a global producer of the granite rocks. This led to intensified quarrying activities between Dharmapuri and Krishnagiri. However, this surface mining method, has a potential to impact the environment in a negative way causing loss in vegetation, depletion of natural resources, increases the Temperature, loss of scenic beauty and contamination of surface water resources. To assess the land cover changes caused by granite quarrying activities, remotely sensed data in the form of Landsat images between 2000 and 2017 were used. Pattern classification was used to create maps. Accuracy assessment using Google EarthTM as a reference data yielded an overall accuracy of 88%. The post classification change detection method was used to value the land cover changes within the granite quarries. Granite quarries increased by 2562.78 ha while formation of quarry lakes increased to 5.3ha over the 18-year period. Vegetation cover decreased by 1521ha in area while 18.3ha bare land was lost during the same period. This study demonstrated the utility of remote sensing to detect changes in land cover within granite quarries.

scholarly journals ASSESSING LAND COVER CHANGES CAUSED BY GRANITE QUARRYING USING REMOTE SENSING

2017 ◽  
Vol XLII-3/W2 ◽  
pp. 119-124 ◽  
Author(s):  
R. S. Moeletsi ◽  
S. G. Tesfamichael
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Land Cover ◽  
Surface Mining ◽  
Google Earth ◽  
Land Cover Changes ◽  
Dimension Stone ◽  
Remotely Sensed Data ◽  
Landsat Images ◽  
Granite Quarries

Dimension stone quarrying in the area between Rustenburg and Brits in the North West Province of South Africa has been in existence for over 70 decades. The unique characteristics of the granite deposits in South Africa resulted in making the country a global producer of the granite rocks. This led to intensified quarrying activities between Rustenburg and Brits town. However, this surface mining method, has a potential to impact the environment in a negative way causing loss in vegetation, depletion of natural resources, loss of scenic beauty and contamination of surface water resources. To assess the land cover changes caused by granite quarrying activities, remotely sensed data in the form of Landsat images between 1998 and 2015 were used. Supervised classification was used to create maps. Accuracy assessment using Google Earth<sup>TM</sup> as a reference data yielded an overall accuracy of 78&amp;thinsp;%. The post classification change detection method was used to assess land cover changes within the granite quarries. Granite quarries increased by 1174.86 ha while formation of quarry lakes increased to 5.3 ha over the 17-year period. Vegetation cover decreased by 1308 ha in area while 18.3 ha bare land was lost during the same period. This study demonstrated the utility of remote sensing to detect changes in land cover within granite quarries.

Land Use and Land Cover Changes in Northern Kordofan State of Sudan: A Remotely Sensed Data Analysis

2014 ◽  
pp. 269-283 ◽  
Author(s):  
Mohamed S. Dafalla ◽  
Elfatih M. Abdel-Rahman ◽  
Khalid H. A. Siddig ◽  
Ibrahim S. Ibrahim ◽  
Elmar Csaplovics
Keyword(s):  
Land Use ◽  
Data Analysis ◽  
Land Cover ◽  
Remotely Sensed ◽  
Land Cover Changes ◽  
Remotely Sensed Data

Historical spatiotemporal analysis of land-use/land-cover changes and carbon budget in a temperate peatland (Turkey) using remotely sensed data

2011 ◽  
Vol 31 (3) ◽  
pp. 1166-1172 ◽  
Author(s):  
Fatih Evrendilek ◽  
Suha Berberoglu ◽  
Nusret Karakaya ◽  
Ahmet Cilek ◽  
Guler Aslan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Carbon Budget ◽  
Spatiotemporal Analysis ◽  
Remotely Sensed ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Remotely Sensed Data

scholarly journals MONITORING KEANEKARAGAMAN JENIS BURUNG PADA BERBAGAI TUTUPAN LAHAN DI CIBINONG SCIENCE CENTER (CSC), JAWA BARAT

2020 ◽  
Vol 19 (3B) ◽  
Author(s):  
Yohanna Dalimunthe
Keyword(s):  
Land Cover ◽  
Urban Landscape ◽  
Landsat Imagery ◽  
Community Response ◽  
Paddy Fields ◽  
Land Cover Changes ◽  
Urban Landscapes ◽  
Science Center ◽  
Landsat Images ◽  
Point Count

Birds play an essential role in ecosystems, especially in urban landscapes such as the Cibinong Science Center (CSC). As an urban landscape, CSC always experiences land cover changes due to the development of research infrastructure resulting in various human-made land cover types. This study aims to determine the diversity of birds in various types of land cover as a community response to CSC development dynamics. Bird data was collected using the point count method modified with a grid (plot) measuring 200mx200m with a radius of observation as far as 50m at 34 points. Landsat images were analyzed from 2006 to 2018 to see changes in land cover changes. The observations show that there are 35 species of birds. Among those, three birds are protected by Indonesian regulation. There are six type of land cover in CSC paddy fields, buildings, opened area, farm land, plantation, and water. CSC has total diversity S(mean) = 32 covering 65% of all recorded birds. At land cover level, building area show the highest diversity (Shannon=2.03) while paddy fields is the lowest (Shannon=1.45). Based on the Landsat imagery, there are several changes in vegetation and the addition of some buildings.   

scholarly journals Land Cover Changes and Flows in the Polish Baltic Coastal Zone: A Qualitative and Quantitative Approach

2020 ◽  
Vol 12 (13) ◽  
pp. 2088 ◽  
Author(s):  
Elzbieta Bielecka ◽  
Agnieszka Jenerowicz ◽  
Krzysztof Pokonieczny ◽  
Sylwia Borkowska
Keyword(s):  
Land Cover ◽  
Coastal Zone ◽  
Agricultural Land ◽  
Accurate Information ◽  
Land Cover Changes ◽  
Remotely Sensed Data ◽  
Baltic Coast ◽  
Spatiotemporal Trends ◽  
Artificial Surface ◽  
The Baltic

Detecting land cover changes requires timely and accurate information, which can be assured by using remotely sensed data and Geographic Information System(GIS). This paper examines spatiotemporal trends in land cover changes in the Polish Baltic coastal zone, especially the urbanisation, loss of agricultural land, afforestation, and deforestation. The dynamics of land cover change and its impact were discussed as the major findings. The analysis revealed that land cover changes on the Polish Baltic coast have been consistent throughout the 1990–2018 period, and in the consecutive inventories of land cover, they have changed faster. As shown in the research, the area of agricultural land was subject to significant change, i.e., about 40% of the initial 8% of the land area in heterogeneous agriculture was either developed or abandoned at about equal rates. Next, the steady growth of the forest and semi-natural area also changed the land cover. The enlargement of the artificial surface was the third observed trend of land cover changes. However, the pace of land cover changes on the Baltic coast is slightly slower than in the rest of Poland and the European average. The region is very diverse both in terms of land cover, types of land transformation, and the pace of change. Hence, the Polish national authorities classified the Baltic coast as an area of strategic intervention requiring additional action to achieve territorial cohesion and the goals of sustainable development.

Application of Remote Sensing and GIS to Detect Land Use and Land Cover Changes in Jos East Local Government Area, Plateau State, Nigeria.

2021 ◽  
Vol 1 (1) ◽  
pp. 1-8
Author(s):  
Solomon Wuyep zitta
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Agricultural Land ◽  
Digital Camera ◽  
Land Cover Changes ◽  
Remotely Sensed Data ◽  
Plateau State ◽  
Ground Truthing ◽  
Land Management System

This study examines the potentials of Remote Sensing techniques and GIS in land resources management with particular reference to detect land use and land cover changes in Jos East L.G.A, between 1995 to 2015. In this study, administrative maps, remotely sensed data (Landsat and Nigeriasat-1 satellite imageries) and GIS techniques were used in the image analysis. All these were done using Ilwis 3.3 Academic, ERDAS 9.3, IDIRISI 17.0 and ArcGIS 10.1. Digital camera was also used for ground truthing. The results were presented using classified imageries. Between the years 1995 to 2015, there was consistent change in the land use land cover of Jos east with different LULC categories. Throughout the study years, vegetation was observed to have the highest percentage of the total land coverage with 57544.28 ha (63%) in 1995, decreasing to 50322.96 ha (50%) in 2005, and 34969.95 (39%) in the year 2015. While agricultural/farm land was gradually increasing throughout the study period with 21271.05 ha (23%) in 1995, 27017.37 ha (27%) in 2005 and 25406.19 ha (28%) in 2015. Findings also showed that build-up-areas/settlement development increased consistently from 1451.97ha (2%) in 1995, 3290.49 ha (3%) in 2005 to 5817.96 (6%) in 2015. It was concluded that agriculture in the study area is increasing while large areas of vegetation is drastically reducing and being converted to farmlands and settlements. It is recommended that government should put up a reliable land management system in form of restrictions on premature conversion of agricultural land, there should be policies that control threat to the vegetation cover. Government should take cognizance of the land use and land cover at a regular interval to ascertain the changes that are taking place in the study area.

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