scholarly journals Monitoring Land Change of Cover in Al-Rusafa District In Baghdad City by using Remote Sensing and GIS Techniques

2021 ◽  
Vol 2114 (1) ◽  
pp. 012014
Author(s):  
Halah Qahtan Hamdi ◽  
Zehraa Najim Abdul-Ameer
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Change Detection ◽  
Land Surface ◽  
Remote Sensing And Gis ◽  
Measurement Information ◽  
Spectral Indices ◽  
Precise Data ◽  
Cross Tabulation ◽  
Year 2000

Abstract Change detection of land surface is critical to execute precise data about territory of study for any sorts of arranging improvement. Technologies of Remote Sensing and GIS and have accomplished incredible strides to tackle the investigation issues like changes of land cover. The point of that study is to deliver guides of land front of Al-Rusafa District on year 2000, 2018 to screen the potential the expectable changes especially in vegetation land and metropolitan or built land, furthermore, identify the cycle of city settlement. Two multi-transient satellite picture information, Upgraded Topical Mapper picture information from 2000 and OLI Satellite picture information from 2018 were utilized in that task. That study direction is the major approach of classification approach to supply divided maps, and cover of land categories were recognized and map. Spectral indices (NDVI, NDBI, NDWI) utilized to identify the changes of expanding and diminishing land the change detection in (Arc Map 10.5 ) Envision was utilized to identify the urban development and the concentrated alters encompassing the urban regions. Cellular automata of Markov was utilized to mimic the patterns of land utilize and change of cover the period of 2000 to 2018 cross-tabulation lattices between diverse stages were delivered to interpret the patterns of change of covers from one cover land to another, these measurement information straight forwardly regions communicated the alter of land cover. The results about appear these demonstrate that around (31.8 %) of Change from one Kind of land cover to another one though around (68.2 %) of the region Remained unaltered between (2000, and 2018)..

scholarly journals Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria

2014 ◽  
Vol XL-8 ◽  
pp. 613-616 ◽  
Author(s):  
O. S. Olokeogun ◽  
K. Iyiola ◽  
O. F. Iyiola
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Sustainable Forest Management ◽  
Cost Effective ◽  
Remote Sensing And Gis ◽  
Clear Understanding ◽  
Forest Reserve ◽  
Landsat Satellite

Mapping of LULC and change detection using remote sensing and GIS techniques is a cost effective method of obtaining a clear understanding of the land cover alteration processes due to land use change and their consequences. This research focused on assessing landscape transformation in Shasha Forest Reserve, over an 18 year period. LANDSAT Satellite imageries (of 30 m resolution) covering the area at two epochs were characterized into five classes (Water Body, Forest Reserve, Built up Area, Vegetation, and Farmland) and classification performs with maximum likelihood algorithm, which resulted in the classes of each land use. <br><br> The result of the comparison of the two classified images showed that vegetation (degraded forest) has increased by 30.96 %, farmland cover increased by 22.82 % and built up area by 3.09 %. Forest reserve however, has decreased significantly by 46.12 % during the period. <br><br> This research highlights the increasing rate of modification of forest ecosystem by anthropogebic activities and the need to apprehend the situation to ensure sustainable forest management.

scholarly journals Land Use/Land Cover Change Detection Study Using Remote Sensing and GIS Technique in Puthimari River Basin-A Transboundary Basin Between Bhutan and India

2021 ◽  
pp. 26-34
Author(s):  
Swapnali Barman ◽  
Jaivir Tyagi ◽  
Waikhom Rahul Singh
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Rural Settlement ◽  
Land Use Land Cover ◽  
Dense Vegetation ◽  
Gis Technique

Using remote sensing and GIS technique, we analyse the change detection of different land use/land cover (LULC) types that has taken place in Puthimari river basin during a two-decade period from 1999 to 2019. Supervised classification method with maximum likelihood algorithm have been applied to prepare the LULC maps. The LULC change detection has been performed employing a post-classification detection method. Puthimari is a north bank sub-catchment of River Brahmaputra, the northern part of which falls in Bhutan and the rest falls in the Assam state of India. The primary LULC types of the basin are, dense vegetation which is predominant in the upper catchment, crop land and rural settlement. Thus, five different classes have been considered for the analysis, viz., dense vegetation, water bodies, silted water, cropland and rural settlement. The results showed that the rural settlement and water bodies in the basin increased by 42.70% and 30.31% from 1999 to 2019. However, dense vegetation, silted water and cropland decreased by 9.24%, 27.47% and 28.10% during these two decades.

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