Use of evidence NDVI, NDBI, NDWI, MSAVI to reveal the uses of agricultural land in karma district using modern technologies
Keywords:
digital processing, bands, space visuals, evidence NDVI, NDBI, NDWI, MSAVIAbstract
The study of agricultural land uses in karma district relied on a range of ideas using modern geographical techniques to build a model of simulation of spatial distribution of land uses, which used sensor data after key sources in detections uses of land cover through reliance on satellite data (Land Sat-8) and sensor (OLI) For 2020, to achieve the study's objective, normalized Difference Vegetation Index (NDVI), Normalized Difference Built Up Index (NDBI), Normalized Difference Up Index (NDBI), Normalized Difference Water Index (NDWI) and Ms AVI ) Modified Soil Adjusted Vegetation Index.
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Atef Moad Abdel Hamid, Foundation for Remote Sensing, Cairo University, 2008.
Muhannad Riad Salman Al Hamdani, Use of Remote Sensing Techniques in Land Cover Classification and Land Uses in Kufa District, Faculty of Arts, Dhi Qar University, Unpublished Master, 2020.
Omar Abdullah A. Al-Qsab, Integration of GIS and Remote Sensing in the Study of Land Cover Change in the Erbil Plain, Unpublished Ph.D., 2020.
Republic of Iraq, Ministry of Planning, Anbar Provincial Map, Administrative, 2019, Scale (1:500,000).
Republic of Iraq, Ministry of Water Resources, Directorate of Public Space, Iraq Administrative Map, 2010, scale (1:1000,000).
Robert A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, Third Edition, Elsevier, USA, 2007.
Rouse, J. W. ; R. H. Haas ; J. A. Schell and D. W. Deering . 1973. Monitoring vegetation systems in the great plains with ERTS. Third ERTS Symposium, NASA SP-351 I , 309-317.
Salim Yazu Jamal, Use of Remote Sensing and Giss to classify agricultural land uses and land cover in The Great Dam District - Iraq, Baghdad University, Faculty of Arts, Professor's Magazine, Issue 225, Volume 2, 2018.
Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Health and treatment of diabetes mellitus. International Journal of Health Sciences, 5(1), i-v. https://doi.org/10.53730/ijhs.v5n1.2864
Susilo, C. B., Jayanto, I., & Kusumawaty, I. (2021). Understanding digital technology trends in healthcare and preventive strategy. International Journal of Health & Medical Sciences, 4(3), 347-354. https://doi.org/10.31295/ijhms.v4n3.1769
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