Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing

This paper has been utilized satellite Sentinel-2A imagery, this satellite is a polar-orbiting, multispectral high-resolution to cover Athens city, Greece that located at latitude (37° 58' 46") N, (23° 42' 58") E.,the work aims to measurement and study the wildfires natural resou...

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Main Authors: Mohammed, Ali Abdul Wahhab (Author), Khamees, Hussein Thary (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-02-01.
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LEADER 02616 am a22003013u 4500
001 ijeecs20899_14679
042 |a dc 
100 1 0 |a Mohammed, Ali Abdul Wahhab  |e author 
100 1 0 |e contributor 
700 1 0 |a Khamees, Hussein Thary  |e author 
245 0 0 |a Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing 
260 |b Institute of Advanced Engineering and Science,   |c 2021-02-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20899 
520 |a This paper has been utilized satellite Sentinel-2A imagery, this satellite is a polar-orbiting, multispectral high-resolution to cover Athens city, Greece that located at latitude (37° 58' 46") N, (23° 42' 58") E.,the work aims to measurement and study the wildfires natural resourcesbefore and after fire break out that happenedin forests of Athens city in Greece for a year (2007, 2018) and analysis the damage caused by these wildfiresand their impact on environment  and soil  by categorize the satellite images for the interested region before and after wildfires for a year (2007) and  a year (2018) and Discuss techniques that compute the area covered of each class and lessen  or limit the rapidly spreading wildfires damage.The categorizing utilizing the moments with (K-Means) grouping algorithm in RS (remote sensing). And the categorizing results show five unique classes (water, trees, buildings without tree, buildings with tree, bare lands) where, it can be notice that the region secured by each class before and after wildfires and the changed pixels for all classes.The experimental resulted of categorizing technique shows that the good performance exactness with a good categorizing and result analysisa bout the harms resulted from the fires in the forest Greece for a years (2007 and 2018). 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Categorizing image; Fires; Moment feature; Remote sensing; Sentinel-2A 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 21, No 2: February 2021; 846-853 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v21.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20899/14679 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20899/14679  |z Get fulltext