دراسة التغيرات السطحية لهور الحمار من خلال صور الأقمار الصناعية باستخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية

Abburu, S. and Golla, S.B., 2015. Satellite image classification methods and techniques: A review. International Journal of Computer Applications, 119(8), pp. 20–25. https://doi.org/10.5120/21088-3779

Al-Atbee, R.S.K., Al-Hejuje, M.M., and Al-Saad, H.T., 2019. Heavy elements accumulation in dominant aquatic plants at Al-Chibayish Marshes, South of Iraq. Mesopotamian Journal of Marine Sciences, 34(2), pp. 154–164. https://doi.org/10.58629/mjms.v34i2.35

Al-Maliki, S., Ibrahim, T., Jakab, G, Masoudi, M., Makki, J., Vekerdy, Z., 2022. An approach for monitoring and classifying marshlands using multispectral remote sensing imagery in arid and semi-arid regions. Water, 14(10), P. 1523. https://doi.org/10.3390/w14101523.

Al-Rubaie, A.A.K., 2008. Ecological and morphological study of Iraqi Southern marshes. Mesopotamian Journal of Marine Science, 23(2), pp. 437-453.

Aqrawi, A.A.M. and Evans, G.,1994. Sedimentation in the lakes and marshes (Ahwar) of the Tigris‐Euphrates Delta, southern Mesopotamia. Sedimentology, 41(4), pp. 755–776. https://doi.org/10.1111/j.1365-3091.1994.tb01422.x.

Babu, B.S., 2016. Comparative study on the spatial interpolation techniques in GIS. International Journal of Scientific & Engineering Research, 7(2), pp. 550–554. https://doi.org/10.31026/j.eng.2025.08.04.

Campbell, J.B. and Wynne, R.H., 2011. Introduction to remote sensing. Guilford Press. https://doi.org/10.3390/rs5010282.

Childs, C., 2004. Interpolating surfaces in ArcGIS Spatial Analyst. ArcUser, July-September, 3235(569), pp. 32–35.

Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote sensing of environment, 37(1), pp. 35–46. https://doi.org/10.1016/0034-4257(91)90048-B.

Davidson, N.C., Fluet-Chouinard, E., and Finlayson, C.M., 2020. Global extent and distribution of wetlands: trends and issues. Marine and Freshwater Research, 71(6). https://doi.org/10.1071/MF17019.

Dhaidan, B.A., Alwan, I.A., and Al-Khafaji, M.S., 2021. Utilization of satellite image-based indices for assessment of Al-Hammar Marsh restoration plan. Engineering and Technology Journal, 39(08), pp. 1328–1337. https://doi.org/10.30684/etj.v39i8.2149.

Dhingra, S. and Kumar, D., 2019. A review of remotely sensed satellite image classification. International Journal of Electrical and Computer Engineering, 9(3), P. 1720.

Ghobadi, Y., Pardhan, B.K., Pirasteh, S., Shafri, H.Z.M., Sayyad, G.A., 2012. Use of multi-temporal remote sensing data and GIS for wetland change monitoring and degradation. IEEE Colloquium on Humanities, Science and Engineering (CHUSER), pp. 103–108. https://doi.org/10.1109/CHUSER.2012.6504290.

Hu, T., Sun, L., and Zhang, X., 2021. Mapping surface water dynamics using Landsat time-series data. Remote Sensing of Environment, 252, pp. 112–123. https://doi.org/10.3390/rs14102475.

Hussein, Z.E., Hasan, R.H., and Aziz, N.A., 2018. Eh MaDetecting the changes of Al-Hawizrshland and surrounding areas using GIS and remote sensing techniques. Association of Arab Universities Journal of Engineering Sciences, 25(1), pp. 53–63.

Irons, J.R., Dwyer, J.L., and Barsi, J.A., 2012. The next Landsat satellite: The Landsat data continuity mission. Remote Sensing of Environment, 122, pp. 11–21. https://doi.org/10.1016/j.rse.2011.08.026.

Jenness, J. and Wynne, J.J., 2006. Kappa analysis (kappa_stats. avx) extension for ArcView 3. X. Jenness Enterprises. http://www.jennessent.com/arcview/kappa_stats.htm.

Jensen, J. R., and Lulla, K., 1987. Introductory digital image processing: A remote sensing perspective. Geocarto International, 2(1), P. 65. https://doi.org/10.1080/10106048709354084.

Jonsson, L., 2015. Evaluation of pixel-based and object-based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil. Student thesis series INES.

Lillesand, T., Kiefer, R.W. and Chipman, J., 2015. Remote sensing and image interpretation. Wiley.

Liu, J.G. and Mason, P.J., 2016. Image processing and GIS for remote sensing: Techniques and applications. John Wiley & Sons. https://doi.org/10.1002/9781118724194.

Malekmohammadi, B. and Blouchi, L.R., 2014. Ecological risk assessment of wetland ecosystems using multi-criteria decision making and geographic information systems. Ecological Indicators, 41, pp. 133–144. https://doi.org/10.1016/j.ecolind.2014.01.038.

Meng, H., Zhang, J., and Zheng, Z., 2022. Retrieving inland reservoir water quality parameters using Landsat 8-9 OLI and Sentinel-2 MSI sensors with empirical multivariate regression. International Journal of Environmental Research and Public Health, 19(13), P. 7725. https://doi.org/10.3390/ijerph19137725.

Muhsin, I.J., 2017. Monitoring of the South Iraq marshes using classification and change detection techniques. Iraqi Journal of Physics, 15(33), pp. 78–86. https://doi.org/10.30723/ijp.v15i33.143.

Nizeyimana, E., 2005. Remote Sensing and GIS Integration. Encyclopedia of Soil Science, Second Edition.

Phiri, D., Morgenroth, J., Xu, C. and Hermosilla, T., 2019. Effects of pre-processing methods on Landsat OLI data classification. Remote Sensing, 11(3), pp. 1–21. https://doi.org/10.1016/j.jag.2018.06.014.

Richards, J.A. and Jia, X., 2006, Remote sensing digital image analysis: an introduction. Springer. https://doi.org/10.1007/3-540-29711-1.

Roy, D.P., Li, J., Zhang, H.K. and Wulder, M.A., 2022. Landsat-9: Continuing the Landsat legacy. Remote Sensing of Environment, 269, pp. 112–860. https://doi.org/10.1016/j.rse.2022.113195.

Sabaa, M.R., Salman, A.D., Dakhil, A.J., Jawad, S.I., Karkush, M.O., 2023. Production thematic maps of bearing capacity of shallow foundation for Al-Basrah soil using standard penetration data and GIS. Journal of Rehabilitation in Civil Engineering, 11(4), pp. 77–90. https://doi.org/10.22075/JRCE.2023.27587.1668.

Saleh, S.A.H., 2012. Studying of the environmental changes in marsh area using Landsat satellite images. Journal of Asian Scientific Research, 2(8), P. 427.

Schowengerdt, R.A., 2006. Remote sensing: models and methods for image processing. Elsevier.

Shimal, M.S. and Shaban, A.H., 2019. Estimation of groundwater pollution in Baiji/Salah Al-Deen province, Iraq. AIP Conference Proceedings, 2123(1), P. 020058.

Singh, A., 1989. Review article digital change detection techniques using remotely-sensed data. International journal of remote sensing, 10(6), pp. 989–1003. https://doi.org/10.1080/01431168908903939.

Sisodia, P.S., Tiwari, V. and Kumar, A., 2014. A comparative analysis of remote sensing image classification techniques. International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, pp. 1418–1421. https://doi.org/10.1109/ICACCI.2014.6968245.

Soliman, O.S. and Mahmoud, A.S., 2012. A classification system for remote sensing satellite images using support vector machine with non-linear kernel functions. 2012 8th International Conference on Informatics and Systems (INFOS). IEEE, P. BIO-181.

Storey, J., Choate, M. and Lee, K., 2014. Landsat 8 Operational land imager on-orbit geometric calibration and performance. Remote sensing, 6(11), pp. 11127–11152. https://doi.org/10.3390/rs61111127.

Wahaab, H.R., Sultan, M.A., and Aldeen, S.S.S., 2022. Determination of Environmental Factors on some Water and Sediments Quality Parameters of Eastern Al-Hammar Marsh. IOP Conference Series: Earth and Environmental Science. IOP Publishing, P. 12034.

Xiao, Y., Lim, S.K., Tan, T.S., 2004. Feature extraction using very high-resolution satellite imagery. IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium. IEEE. https://doi.org/10.1109/IGARSS.2004.1370741.

Xu, L., He, Z., Zhang, S., and Guo, Y., 2009. The comparative study of three methods of remote sensing image change detection. The international archives of the photogrammetry, remote sensing and spatial information sciences, 37(B7). https://doi.org/10.1109/GEOINFORMATICS.2009.5293490

Yacoub, S., Purser, B., Al-Hassani, N., Al-Azzawi, M., Orzag-Sperber, F., Hassan, K., Plaziat, J., Younis, W.,1981. Preliminary study of the Quaternary sediments of SE Iraq. Joint research project by the Geological Survey of Iraq and University of Paris XI, Orsay, GEOSURV, int. rep (1981) (1078).