Abstract
With the increase of anthropogenic activities, the importance of the essence of life, water, proportionally continues to rise. The effective use of water is vital as an important role in socio economic development of nations. Thus, frequent water bodies monitoring is a crucial part of their sustainable management. As remote sensing data is useful in monitoring water and wetland areas, in this chapter we investigate the usage of Earth Observation satellite technology for monitoring wetlands in one of the most significant parts not only in Turkey, but in Western Asia. Along with a brief literature review about wetlands and remote sensing, this chapter investigates the water areas in Tigris and Euphrates Watershed in Turkey using Landsat-8 satellite imagery. The historical investigation showed significant development in the studied area with the several dam constructions in the watershed. The usage of satellite technology is crucial to longāterm water planning and management that incorporate principles of sustainability to avoid ecological and environmental catastrophes.
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References
Avdan U, Jovanovska G (2016) Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data. J Sens 2016
Baumgartner MF, Apfl GM (1996) Remote sensing and geographic information systems. Hydrol Sci J 41(4):593ā607
Cardoso GF, Souza C, Souza PWM (2014) Using spectral analysis of Landsat-5 TM images to map coastal wetlands in the Amazon River mouth, Brazil. Wetl Ecol Manag 22(1):79ā92
Chen YY, He XF, Wang J (2015) Classification of coastal wetlands in eastern China using polarimetric SAR data. Arab J Geosci 8(12):10203ā10211
Ciritci D, TĆ¼rk T (2019) Automatic Detection of Shoreline Change by Geographical Information System (GIS) and Remote Sensing in the Gƶksu Delta, Turkey. J Indian Soc Remote Sens 47(2):233ā243
Dabrowska-Zielinska K et al (2016) Assessment of carbon flux and soil moisture in wetlands applying sentinel-1 data. Remote Sens 8(9)
Dervisoglu A, et al (2019) Temporal assessment of natural wetlands via remotely sensed data: a case study from Turkey. Fresenius Environ Bull 1005
Dong ZY et al (2014) Mapping wetland areas using landsat-derived NDVI and LSWI: a case study of West Songnen plain, Northeast China. J Indian Soc Remote Sens 42(3):569ā576
Dronova I (2015) Object-based image analysis in wetland research: A review. Remote Sens 7(5):6380ā6413
Ekercin S, Ćrmeci C (2010) Evaluating climate change effects on water and salt resources in Salt Lake, Turkey using multitemporal SPOT imagery. Environ Monit Assess 163(1ā4):361ā368
Esetlili MT et al (2018) Comparison of object and pixel-based classifications for mapping crops using Rapideye imagery: a case study of Menemen Plain, Turkey. Int J Environ Geoinformatics 5(2):231ā243
FatihTemiz AB, Durduran SS, Gumus MG (2017) Monitoring coastline change using remote sensing and gis technology: a case study of Burdur Lake, Turkey. Fresen Environ Bullet:7235
Fickas KC, Cohen WB, Yang ZQ (2016) Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012. Wetl Ecol Manag 24(1):73ā92
Hardisky M, Gross M, Klemas V (1986) Remote sensing of coastal wetlands. Bioscience 36(7):453ā460
Harken J, Sugumaran R (2005) Classification of Iowa wetlands using an airborne hyperspectral image: a comparison of the spectral angle mapper classifier and an object-oriented approach. Can J Remote Sens 31(2):167ā174
Huang CQ et al (2014) Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data. Remote Sens Environ 141:231ā242
Hurd JD et al (2005) Coastal marsh characterization using satellite remote sensing and in situ radiometry data: preliminary results. American Society of Photogrammetry and Remote Sensing, Baltimore
Ji W (2007) Wetland and water resource modeling and assessment: a watershed perspective. CRC Press, Boca Raton
Jovanovska G et al (2016) Land surface temperature change after construction of the Kozjak Dam based on remote sensing data
Kamal M, Phinn S (2011) Hyperspectral data for mangrove species mapping: a comparison of pixel-based and object-based approach. Remote Sens 3(10):2222ā2242
Kaplan G (2019) Remote sensing image fusion for mapping and monitoring wetlands in anatolian region, Turkey. PhD thesis
Kaplan G, Avdan U (2017) Object-based water body extraction model using Sentinel-2 satellite imagery. Eur J Remote Sens 50(1):137ā143
Kaplan G, Avdan U (2018a) SENTINEL-1 and SENTINEL-2 data fusion for wetlands mapping: Balikdami, Turkey. Int Arch Photogr Remote Sens Spat Inf Sci 42(3)
Kaplan G, Avdan U (2018b) Monthly analysis of wetlands dynamics using remote sensing data. ISPRS Int J Geo Inf 7(10):411
Kaplan G, Avdan U (2019) Evaluating the utilization of the red edge and radar bands from sentinel sensors for wetland classification. Catena 178:109ā119
Kaplan G, Avdan, ZY, Avdan U (2019) Mapping and monitoring wetland dynamics using thermal, optical, and SAR remote sensing data. Wetlands management: assessing risk and sustainable solutions. p 87
Kaplan G, et al (n.d.) Drought monitoring using landsat satellite images (Case Study Aksehir Lake) (In Turkish) UZAL-CBS2016 Symposium, Adana, Turkey
Kesikoglu MH et al (2019) Performance of ANN, SVM and MLH techniques for land use/cover change detection at Sultan Marshes wetland, Turkey. Water Sci Technol 80(3):466ā477
Li JH, Chen WJ (2005) A rule-based method for mapping Canada's wetlands using optical, radar and DEM data. Int J Remote Sens 26(22):5051ā5069
Lulla K (1983) The Landsat satellites and selected aspects of physical geography. Prog Phys Geogr 7(1):1ā45
Maillard P, Pivari MO, Luis CHP (2012) Remote sensing for mapping and monitoring wetlands and small lakes in Southeast Brazil. Remote sensing of planet earth. Rijeka, InTech, pp 23ā46
Mitsch WJ, Gosselink JG (2015) Wetlands. Wiley, New York, 736 pp. In: ISBN978-1-118-67682-0
Musaoglu N et al (2018) Long-term monitoring of wetlands via remote sensing and GIS: a case study from Turkey. In: Proceedings of The International Conference on Climate Change
Myint SW et al (2008) Identifying mangrove species and their surrounding land use and land cover classes using an object-oriented approach with a lacunarity spatial measure. GISci Remote Sens 45(2):188ā208
Ozesmi SL, Bauer ME (2002) Satellite remote sensing of wetlands. Wetl Ecol Manag 10(5):381ā402
Russi D et al (2013) The economics of ecosystems and biodiversity for water and wetlands. IEEP, London and Brussels, p 78
Rutchey K, Vilchek L (1994) Development of an Everglades vegetation map using a SPOT image and the Global Positioning System. Photogramm Eng Remote Sens 60(6):767ā775
WWAP U (2003) UN World Water Development Report: Water for People. Water for Life
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Kaplan, G., Avdan, Z.Y., Avdan, U. (2021). Usage of Satellite Technology in Monitoring the Wetlands of Turkey, Tigris, and Euphrates Watershed. In: Jawad, L.A. (eds) Southern Iraq's Marshes. Coastal Research Library, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-030-66238-7_10
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