ارزیابی صحت روش‌های سنجش از دور در استخراج و پایش تغییرات پهنۀ آبی دریاچۀ زریبار

[1]. Moradi M, Sahebi M, Shokri M. Modified optimization water index (MOWI) for landsat 8 OLI/TIRS. the International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Tehran's Joint ISPRS Conferences of GI Research. 2017; 185-190.

[2]. Brezonik P, Menken KD, Bauer M. Landsat based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM). Lake and Reservoir Management. 2005; 21(4):373-382

[3]. Prasad P R, Rajan K, Bhole V, Dutt C. Is rapid urbanization leading to loss of water bodies. Journal of Spatial Science. 2009; 2: 43-52.

 

[4]. Giardino C, Bresciani M, Villa P, Martinelli, A. Application of remote sensing in water resource management: the case study of Lake Trasimeno, Italy. Water Resources Management. 2010; 24: 3885-3899.

[5]. Ridd MK, Liu J. A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment. 1998; 63: 95-100

[6]. Rokni R, Ahmad A, Selamat A, Hazini Sh. Water Feature Extraction and Change detection using Multi temporal Landsat Imagery. journal of Remote Sensing. 2014; 6: 4173-4189.

[7]. Sharma RC, Tateishi R, Hara K, Viet Nguyen L. Developing Superfine Water Index (SWI) for global water cover mapping using MODIS data, journal of Remote Sensing. 2015; 7: 13807-13841.

[8]. Shen L, Li C. Water Body Extraction from Landsat ETM+ Imagery Using Adaboost Algorithm. In Proceedings of 18th International Conference on Geo informatics Beijing China. 2010; 1:1-18.

[9]. Tomar P, Singh SK, Kanga S, Pattanaik, A. Water Bodies mapping and monitoring using high-resolution satellite images, Sustainability Agri Food Environmental Research. 2021; 11(1): 1-18.

[10]. Wang Y, Ruan R, She Y, Yan M. Extraction of water information based on RADARSAT SAR and Landsat ETM+. Procedia Environmental Sciences. 2011; 10: 2301-2306.

[11]. Xu H. Modification of Normalized Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery. International Journal of Remote Sensing. 2006; 27: 3025-3033.

[12]. Gautam V K, Gaurav K P, Murugan P, Annadurai M. Assessment of Surface Water Dynamicsin Bangalore using WRI, NDWI, MNDWI, Supervised Classification and K-T Transformation. Aquatic Procedia. 2014; 4:739-746

[13]. Zhang FF, Li J, Shen Q, Zhang B, Ye H, Wang Sh, et al.. Dynamic Threshold Selection for the Classification of Large Water Bodies within Landsat-8 OLI Water Index Images. Preprints. 2016; 1: 1- 18

[14]. Elsahabi M, Negm A, EI Tahan MH. Performances Evaluation of surface water Area Extraction Technique Using Landsat ETM+ Data: Case Study Aswan High Dam Lake (AHDL). procedia Technology. 2016; 22:1205-1212.

[15]. Manjula TR, Samyuktha SS, Navya G, Priyanka S, Reddy MP, Garudachar, R. Mapping and Monitoring of Water Bodies Using Sentinel 1A Images. Advances in Intelligent Systems and Computing. 2021; 173:193-201.

 [16]. Șerban C, Maftei C, Dobrică G. Surface Water Change Detection via Water Indices and Predictive Modeling Using Remote Sensing Imagery: A Case Study of Nuntasi-Tuzla Lake, Romania. Water. 2022; 14(4), 556.

[17]. Riyaz Khan NH, Study of Fluctuations in Surface Area of Lake Haramaya using NDWI and MNDWI Methods. Journal of Geospatial Information Science and Engineering (JGISE). 2022; 5(1): 36-41.

[18]. Li W, Zhang W, Li Z, Wang Y, Chen H, Gao H, Zhou Z, Hao J, Li Ch, Wu X. A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model. European Journal of Remote Sensing, 2022; 55(1): 303-312

 [19]. Rasouli A A, Abbasian S, Jahanbakhsh S. Monitoring of Urmia Lake Water Surface Fluctuations by Processing of Multi- Sensors and Multi-Temporal Imageries. The Journal of Spatial Planning. 2008; 12 (2): 53-71. [Persian] 

[20]. Abedini M, Sotoudehpour A. Detection of lakes changes trends with using geography information system (GIS) and Remote sensing (Rs).case study: tectonically Zarivar Lake. Journal of natural of Geography. 2017; 10(35): 45-60. [Persian]

[21]. Khosravian M, Entezari A, Rahmani A, Baaghide M. Monitoring the Disturbance of Lake District Water Level Changes Using Remote Sensing Indices. Journal of Hydrogeomorphology. 2018; 4(13): 99-120. [Persian] 

[22]. Dastranj H, Tavakoli F, Soltanpour. Investigating the water level and volume variations of Lake Urmia using satellite images and satellite altimetry. The Journal of "Geographical Data (SEPEHR). 2018; 27(107):149-163. [Persian]

[23]. Hajarian MH, Atarchi S, Hamzeh H. Monitoring seasonal changes of Meighan wetland using SAR, thermal and optical remote sensing data. Physical Geography Research. 2021; 53(3): 365-380. [Persian] 

[24]. Barari MH, BagherI A, Hashemi SM. Analysis of the issues of Lake Zrêbar in a context of Integrated Water Resources Management using a stakeholders' participatory approach in a basin scale. Iran-Water Resources Research. 2016; 12(2): 1-12. [Persian]

[25]. Sarp G, Ozcelik M. Water body extraction and change detection using time series: A case study of Lake Burdur, Turkey. Journal of Taibah University for Science. 2017;11(3): 381-391

[26]. Li J, Ma R, Cao Z, Xue K, Xiong J, Hu M, Feng X. Satellite Detection of Surface Water Extent: A Review of Methodology. Water. 2022; 14(7), 1148

[27]. Feyisa GL, Meilby H, Fensholt R, Proud SR. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment. 2014; 114: 23-35

[28]. Danyu Q, Jinhui Z, Han L, Lei D. Application of Water Extraction Methods from Landsat Imagery for Different Environmental Background. Journal of Geo-information Science. 2021; 23(4): 710-722.

[29]. Pal S, Ziaul S. Detection of land use and land cover change and land surface temperature in English Bazar urban centre. The Egyptian Journal of Remote Sensing and Space Science. 2017; 20: 125-145

[30]. Roy A, Inamdar AB. Multi-temporal Land Use Land Cover (LULC) change analysis of a dry semi-arid river basin in western India following a robust multi-sensor satellite image calibration strategy. Heliyon. 2019; 5(4): e01478.

[31]. Jensen JR. Introductory Digital Image Processing A Remote Sensing Perspective. 4th ed. London: Pearson publisher; 2015.

 [32]. Kandrika S, Roy PS. Land use land cover classification of Orissa using multi-temporal IRS-P6 awifs data: A decision tree approach. International Journal of Applied Earth Observation and Geo information. 2008; 10: 186-193

[33]. Mather P M, Koch, M. Computer Processing of Remotely Sensed Images An Introduction. 4th Ed. New York: John Willley & Sons press; 2010.

 [34]. Vapink VN. The nature of statistical learning theory. 2nd ed. New York: springer; 2000.

[35]. Ceccato P, Flasse S, Tarantola S, Jacquemond S, Gregoire JM. Detecting vegetation water content using reflectance in the optical domain. Remote Sensing of Environment. 2001; 77: 22-33.

[36]. Zhai K, Wu X, Yuanwei Q, Du P. Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations. Journal of Geo-spatial Information Science. 2015; 18: 32-42.

[37]. Fang-fang Z, Bing Z, Jun-sheng L, Qian S, Yuan-feng W, Yang S. Comparative analysis of automatic water identification method based on multispectral Remote Sensing. Procedia Environmental Sciences. 2011; 11: 1482-1487.

[38]. Feyisa G L, Meilby H, Fensholt R, Proud S R. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment. 2014; 140: 23-35.

[39]. Darvishi Sh, Solaimani K, Rashidpour M. Impact of vegetation indices and urban surface characteristics on land surface temperature changes (Case study: Sanandaj city). RS & GIS for Natural Resources. 2019; 10(1): 17-35. [Persian] 

[40]. Tilahun A, Islam Z. Google Earth for land use land cover change detection in the case of gish abbay sekela, west Gojjam, Amhara State, Ethiopia. International Journal of Advancement in Remote Sensing GIS and Geography. 2015; 3: 80-87.

[41]. Mather P, Tso B. Classification methods for remotely sensed Data. 2nd ed. New York: CRC Press Taylor & Francis; 2009.

[42]. Smits PC, Dellepiane SG, Schowengerdt RA. Quality assessment of image classification algorithms for land-cover mapping: a review and a proposal for a cost-based approach. International Journal of Remote Sensing. 1999; 20: 1461-1486.

[43]. Ji L, Geng X, Sun K, Zhao Y, Gong P. Target Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery. Water. 2015; 7: 794-817.