Open AccessMonitoring Land Change of Cover in Al-Rusafa District In Baghdad City by using Remote Sensing and GIS Techniques
Author(s) -
Halah Qahtan Hamdi,
Zehraa Najim Abdul-Ameer
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2114/1/012014
Subject(s) - change detection , land cover , remote sensing , land use , metropolitan area , geography , vegetation (pathology) , satellite , cover (algebra) , built up area , computer science , cartography , civil engineering , engineering , medicine , archaeology , pathology , aerospace engineering , mechanical engineering
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)..