[1] Amler E, Schmidt M, Menz G, 2015. Definitions and mapping of East African wetlands:a review. Remote Sensing, 7(5):5256-5282. doi: 10.3390/rs70505256
[2] Bai J H, Lu Q Q, Wang J J et al., 2013. Landscape pattern evolution processes of alpine wetlands and their driving factors in the Zoigê Plateau of China. Journal of Mountain Science, 10(1):54-67. doi: 10.1007/s11629-013-2572-1
[3] Berkowitz J F, 2011. Recent advances in wetland delineationimplications and impact of regionalization. Wetlands, 31(3):593-601. doi: 10.1007/s13157-011-0167-6
[4] Cordeiro C L O, Rossetti D F, 2015. Mapping vegetation in a late Quaternary landform of the Amazonian wetlands using object-based image analysis and decision tree classification. International Journal of Remote Sensing, 36(13):3397-3422. doi: 10.1080/01431161.2015.1060644
[5] Chen Zhike, Lu Xianguo, 2010. Comparison between the marsh wetland landscape patterns in the Zoigê Plateau for two periods. Wetland Science, 8(1):8-14. (in Chinese)
[6] Clinton N, Holt A, Scarborough J et al., 2010. Accuracy assessment measures for object-based image segmentation goodness. Photogrammetric Engineering & Remote Sensing, 76(3):289-299. doi: 10.14358/PERS.76.3.289
[7] Davidson N C, 2014. How much wetland has the world lost? Long-term and recent trends in global wetland area. Marine and Freshwater Research, 65(10):934-941. doi: 10.1071/MF14173
[8] Deng Maolin, Tian Kun, Duan Zongliang et al., 2010. The changes of landscape at Zoigê Plateau wetland reserve in Sichuan, China. Journal of Mountain Science, 28(2):240-246.(in Chinese)
[9] Dronova I, Gong P, Wang L et al., 2011. Object -based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China. Remote Sensing of Environment, 115(12):3220-3236. doi: 10.1016/j.rse.2011.07.006
[10] Environmental Laboratory, 1987. Corps of Engineers Wetlands Delineation Manual. Wetlands Research Program Technical Report (on-line edition) of US Army Corps of Engineers Waterways Experment Station. Available at:http://el.erdc.usace.army.mil/elpubs/pdf/wlman87.pdf. Cited 13 Feb 2017
[11] Feyisa G L, Meilby H, Fensholt Ret al., 2014. Automated water extraction index:a new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment, 140(1):23-25. doi: 10.1016/j.rse.2013.08.029
[12] Frohn R C, Reif M, Lane C et al., 2009. Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data. Wetlands, 29(1):931-941. doi: 10.1672/08-194.1
[13] Ge Dexiang, Li Chong, Wang Yicheng et al., 2007. Area change of Hui he wetland and the relation between that and local climate from 2000 to 2007. Wetland Science, 7(4):314-320. (in Chinese)
[14] Guo X Y, Zhang H Y, Yuan T et al., 2015. Detecting the temporal scaling behavior of the normalized difference vegetation index time series in China using a detrended fluctuation analysis. Remote Sensing, 7(10):12942-12960. doi: 10.3390/rs71012942
[15] Hassan N, Hamid J R A, Adnan N A et al., 2014. Delineation of wetland areas from high resolution WorldView-2 data by object-based method. 8th International Symposium of the Digital Earth (Isde8). IOP Conference Series:Earth and Environmental Science, 18:012017. doi: 10.1088/1755-1315/18/1/012017
[16] Junk W J, Piedade M T F, Lourival R et al., 2014. Brazilian wetlands:their definition, delineation, and classification for research, sustainable management, and protection. Aquatic Conservation:Marine and Freshwater Ecosystems, 24(1):5-22. doi: 10.1002/aqc.2386
[17] Kang X M, HaoY B, Cui XY et al., 2016. Variability and changes in climate, phenology, and gross primary production of an alpine wetland ecosystem. Remote Sensing, 8(5):391. doi: 10.3390/rs8050391
[18] Kumar L, Sinha P, Taylor S, 2014. Improving image classification in a complex wetland ecosystem through image fusion techniques. Journal of Applied Remote Sensing, 8(1):083616. doi:10.1117/1.JRS.8. 083616
[19] Lee H, Yuan T, Jung H C et al., 2015. Mapping wetland water depths over the central Congo Basin using PALSAR ScanSAR, Envisat altimetry, and MODIS VCF data. Remote Sensing of Environment, 159(1):70-79. doi:10.1016/j.rse.2014. 11.030
[20] Li Ke, Yang Yongxing, Yang Yang et al., 2011. Characteristics and influence factors of the swamp degradation under the stress of grazing in the Zoigê Plateau. Acta Ecologica Sinica, 31(20):5956-5969. (in Chinese)
[21] Lillesand T, kiefer R, Chipman J, 2004. Remote sensing and image interpretation (Fifth Edition). New Jersey:John Wiley & Sons, Inc.
[22] Martinez-Lopez J, Carreno M F, Palazon-Ferrando J A et al., 2014. Free advanced modeling and remote-sensing techniques for wetland watershed delineation and monitoring. International Journal of Geographical Information Science, 28(8):1610-1625. doi: 10.1080/13658816.2013.852677
[23] McFeeters S K, 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7):1425-1432.
[24] Mitsch W J, Gosselink J G, 2007. Wetlands. New York:John Wiley & Sons, Inc.
[25] Mustapha M R, Lim H S, Mat Jafri M Z, 2010. Comparison of neural network and maximum likelihood approaches in image classification. Journal of Applied Sciences, 10(22):2847-2854. doi:10.3923/jas.2010. 2847.2854
[26] Pearsell G, Mulamoottil G, 1994. Wetland boundary and land-use planning in southern Ontario, Canada. Environment Management, 18(6):865-870. doi: 10.1007/BF02393616
[27] Quinn N W T, Epshtein O, 2014. Seasonally-managed wetland footprint delineation using Landsat ETM plus satellite imagery. Environmental Modelling & Software, 54(4):9-23. doi:10.1016/j. envsoft.2013.12.012
[28] Thomas R F, Kingsford R T, Lu Y et al., 2015. Mapping inundation in the heterogeneous floodplain wetlands of the Macquarie Marshes, using Landsat Thematic Mapper. Journal of Hydrology, 524(2):194-213. doi:10.1016/j.jhydrol.2015. 02.029
[29] Tiner R W, 1999. Wetland Indicators:A Guide to Wetland Identification, Delineation, Classification, and Mapping. Boca Raton, FL:CRC Press.
[30] Tiner R W, 2006. Lists of potential hydrophytes for the United States:a regional review and their use in wetland identification. Wetlands, 26(2):624-634. doi: 10.1672/0277-5212
[31] Tucker C J, 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing Environment, 8(2):127-150. doi: 10.1016/0034-4257(79)90013-0
[32] Wilson M J, Bayley S E, 2012. Use of single versus multiple biotic communities as indicators of biological integrity in northern prairie wetlands. Ecological Indicators, 20(2):187-195. doi:10.10 16/j.ecolind.2012.02.009
[33] Wilson M J, Bayley S E, Rooney R C, 2013. A plant-based index of biological integrity in permanent marsh wetlands yields consistent scores in dry and wet years. Aquatic Conservation:Marine and Freshwater Ecosystems, 23(5):698-709. doi: 10.1002/aqc.2354
[34] Wilson E H, Sader S A, 2002. Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment, 80(3):385-396. doi: 10.1016/S0034-4257(01)00318-2
[35] Woodward C, Shulmeister J, Larsen J et al., 2014. The hydrological legacy of deforestation on global wetlands. Science, 346(6211):844-847. doi:10.11 26/science.1260510
[36] Wu Meiyin, Kalma D, Treadwell-Steitz C, 2014. Differential assessment of designations of wetland status using two delineation methods. Environment Management, 54(1):23-29. doi: 10.1007/s00267-014-0273-3
[37] Xue Z S, Zhang Z S, Lu X G et al., 2014. Predicted areas of potential distributions of alpine wetlands under different scenarios in the Qinghai-Tibetan Plateau, China. Global and Planetary Change, 123(10):77-85. doi:10.1016/j.gloplacha.2014. 10.012
[38] Ye Yu, Liu Gaohuan, Huang Chong et al., 2011. Analysis on relationship between wetland landscape and environmental factors in Zoigê Plateau based on DCCA. Geo-information Science, 13(3):313-322. (in Chinese)
[39] Zheng Y M, Zhang H Y, Niu Z G et al., 2012. Protection efficacy of national wetland reserves in China. Chinese Science Bulletin, 57(10):1116-1134. doi:10.1007/s11434-011-4942-92007. Area change of Hui he wetland and the relation between that and local climate from 2000 to 2007. Wetland Science, 7(4):314-320. (in Chinese)
[40] Guo X Y, Zhang H Y, Yuan T et al., 2015. Detecting the temporal scaling behavior of the normalized difference vegetation index time series in China using a detrended fluctuation analysis. Re-mote Sensing, 7(10):12942-12960. doi: 10.3390/rs71012942
[41] Hassan N, Hamid J R A, Adnan N A et al., 2014. Delineation of wetland areas from high resolution WorldView-2 data by ob-ject-based method. 8th International Symposium of the Digital Earth (Isde8). IOP Conference Series:Earth and Environmen-tal Science, 18:012017. doi: 10.1088/1755-1315/18/1/012017
[42] Junk W J, Piedade M T F, Lourival R et al., 2014. Brazilian wetlands:their definition, delineation, and classification for re-search, sustainable management, and protection. Aquatic Conservation:Marine and Freshwater Ecosystems, 24(1):5-22. doi: 10.1002/aqc.2386
[43] Kang X M, HaoY B, Cui XY et al., 2016. Variability and changes in climate, phenology, and gross primary production of an al-pine wetland ecosystem. Remote Sensing, 8(5):391. doi: 10.3390/rs8050391
[44] Kumar L, Sinha P, Taylor S, 2014. Improving image classification in a complex wetland ecosystem through image fusion tech-niques. Journal of Applied Remote Sensing, 8(1):083616. doi:10.1117/1.JRS.8. 083616
[45] Lee H, Yuan T, Jung H C et al., 2015. Mapping wetland water depths over the central Congo Basin using PALSAR ScanSAR, Envisat altimetry, and MODIS VCF data. Remote Sensing of Environment, 159(1):70-79. doi:10.1016/j.rse.2014. 11.030
[46] Li Ke, Yang Yongxing, Yang Yang et al., 2011. Characteristics and influence factors of the swamp degradation under the stress of grazing in the Zoigê Plateau. Acta Ecologica Sinica, 31(20):5956-5969. (in Chinese)
[47] Lillesand T, kiefer R, Chipman J, 2004. Remote sensing and image interpretation (Fifth Edition). New Jersey:John Wiley & Sons, Inc.
[48] Martinez-Lopez J, Carreno M F, Palazon-Ferrando J A et al., 2014. Free advanced modeling and remote-sensing techniques for wetland watershed delineation and monitoring. International Journal of Geographical Information Science, 28(8):1610-1625. doi: 10.1080/13658816.2013.852677
[49] McFeeters S K, 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. In-ternational Journal of Remote Sensing, 17(7):1425-1432.
[50] Mitsch W J, Gosselink J G, 2007. Wetlands. New York:John Wiley & Sons, Inc.
[51] Mustapha M R, Lim H S, Mat Jafri M Z, 2010. Comparison of neural network and maximum likelihood approaches in image classification. Journal of Applied Sciences, 10(22):2847-2854. doi:10.3923/jas.2010. 2847.2854
[52] Pearsell G, Mulamoottil G, 1994. Wetland boundary and land-use planning in southern Ontario, Canada. Environment Manage-ment, 18(6):865-870. doi: 10.1007/BF02393616
[53] Quinn N W T, Epshtein O, 2014. Seasonally-managed wetland footprint delineation using Landsat ETM plus satellite imagery. Environmental Modelling & Software, 54(4):9-23. doi:10.1016/j. envsoft.2013.12.012
[54] Thomas R F, Kingsford R T, Lu Y et al., 2015. Mapping inunda-tion in the heterogeneous floodplain wetlands of the Macquarie Marshes, using Landsat Thematic Mapper. Journal of Hy-drology, 524(2):194-213. doi:10.1016/j.jhydrol.2015. 02.029
[55] Tiner R W, 1999. Wetland Indicators:A Guide to Wetland Identi-fication, Delineation, Classification, and Mapping. Boca Raton, FL:CRC Press.
[56] Tiner R W, 2006. Lists of potential hydrophytes for the United States:a regional review and their use in wetland identification. Wetlands, 26(2):624-634. doi: 10.1672/0277-5212
[57] Tucker C J, 1979. Red and photographic infrared linear combina-tions for monitoring vegetation. Remote Sensing Environment, 8(2):127-150. doi: 10.1016/0034-4257(79)90013-0
[58] Wilson M J, Bayley S E, 2012. Use of single versus multiple biotic communities as indicators of biological integrity in northern prairie wetlands. Ecological Indicators, 20(2):187-195. doi:10.10 16/j.ecolind.2012.02.009
[59] Wilson M J, Bayley S E, Rooney R C, 2013. A plant-based index of biological integrity in permanent marsh wetlands yields consistent scores in dry and wet years. Aquatic Conservation:Marine and Freshwater Ecosystems, 23(5):698-709. doi: 10.1002/aqc.2354
[60] Wilson E H, Sader S A, 2002. Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment, 80(3):385-396. doi:10.1016/S0034-4257 (01)00318-2
[61] Woodward C, Shulmeister J, Larsen J et al., 2014. The hydrolog-ical legacy of deforestation on global wetlands. Science, 346(6211):844-847. doi:10.11 26/science.1260510
[62] Wu Meiyin, Kalma D, Treadwell-Steitz C, 2014. Differential assessment of designations of wetland status using two deline-ation methods. Environment Management, 54(1):23-29. doi: 10.1007/s00267-014-0273-3
[63] Xue Z S, Zhang Z S, Lu X G et al., 2014. Predicted areas of po-tential distributions of alpine wetlands under different scenarios in the Qinghai-Tibetan Plateau, China. Global and Planetary Change, 123(10):77-85. doi:10.1016/j.gloplacha.2014. 10.012
[64] Ye Yu, Liu Gaohuan, Huang Chong et al., 2011. Analysis on rela-tionship between wetland landscape and environmental factors in Zoigê Plateau based on DCCA. Geo-information Science, 13(3):313-322. (in Chinese)
[65] Zheng Y M, Zhang H Y, Niu Z G et al., 2012. Protection efficacy of national wetland reserves in China. Chinese Science Bulletin, 57(10):1116-1134. doi: 10.1007/s11434-011-4942-9
[66]