Open AccessChange Detection for Wasit Province’s Land Coverbetween 2013 and 2020
Author(s) -
Shaimаа H. Shahad,
Mutasim Ibrahim Malik,
Hayder Abdul Zahra Al-Dabbagh
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 - 10.1088/1742-6596/2114/1/012072
Subject(s) - land cover , vegetation (pathology) , remote sensing , land use , vegetation cover , geography , environmental science , physical geography , cartography , ecology , biology , medicine , pathology
It is well known that On Earth there are only a few places, which are now intheir natural state and have not been affected by human activity in any way. These human activities lead to significant changes in land use at the regional and local levels. In this research, remote sensing and geographic information systems (GIS) are integrated to monitor, map, and quantify the main land cover types (vegetation, water, soil, bare area, and urban) in Wasit province. The result of supervised classification for two classified Landsat-8 images for 2020, 2013 after combining 13 subclasses: Water area in 2013 (0.719%) increases to (1.521%) in 2020, vegetation class increases from (2.864) to (6.148%). Urban increases from 2.095% to 4.629%, Bare area in 2020 became 24.307% but in 2013 was 29.03% and finally, soil decreased from (15.821%) to (13.922%).