Open AccessIntegration Satellite Imagery with Fuzzy Logic for Potential Change Detection in Land Use/Land Cover
Author(s) -
Intehaa Abdullah Mohammad AL-Juboury,
Safa Ahmed Jabbar Al-Rubaye
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 - 10.1088/1742-6596/1804/1/012036
Subject(s) - fuzzy logic , remote sensing , land cover , cover (algebra) , vegetation cover , vegetation (pathology) , satellite , change detection , land use , computer science , environmental science , geography , civil engineering , artificial intelligence , engineering , mechanical engineering , medicine , pathology , aerospace engineering
Considered survey systems for monitoring the earth’s surface of the techniques basic and developed for all countries because of their great importance in collecting and providing data and information required as engineering science and research applications can be an important database for many of the establishments. Remote sensing and fuzzy logic are employed to design systems for the survey, monitoring, and changes detect that have occurred in the study area in 2020. The studied area is in Baghdad and its extensions, with an area equivalent to approximately 2776.7628 km 2 . This paper consists of two parts; the first part when the remote sensing classified the study area in unsupervised methods to detect the ratios of components the land use and land cover via divide it into four parameters (vegetation, urban, empty area, and water). As for the second part of the study, the change’s detection results are the inputs of the fuzzy logic system. The four inputs were processed using hypothetical probabilities of the FL system. The results were reasonable and could be considered useful for predicting the future of the four parameters (vegetation, urban, empty area, and water) of the study area in the coming years.