Skip to main content
Log in

A method for alpine wetland delineation and features of border: Zoigê Plateau, China

  • Published:
Chinese Geographical Science Aims and scope Submit manuscript

Abstract

Accurate wetland delineation is the basis of wetland definition and mapping, and is of great importance for wetland management and research. The Zoigê Plateau on the Qinghai-Tibet Plateau was used as a research site for research on alpine wetland delineation. Several studies have analyzed the spatiotemporal pattern and dynamics of these alpine wetlands, but none have addressed the issues of wetland boundaries. The objective of this work was to discriminate the upper boundaries of alpine wetlands by coupling ecological methods and satellite observations. The combination of Landsat 8 images and supervised classification was an effective method for rapid identification of alpine wetlands in the Zoigê Plateau. Wet meadow was relatively stable compared with hydric soils and wetland hydrology and could be used as a primary indicator for discriminating the upper boundaries of alpine wetlands. A slope of less than 4.5° could be used as the threshold value for wetland delineation. The normalized difference vegetation index (NDVI) in 434 field sites showed that a threshold value of 0.3 could distinguish grasslands from emergent marsh and wet meadow in September. The median normalized difference water index (NDWI) of emergent marsh remained more stable than that of wet meadow and grasslands during the period from September until July of the following year. The index of mean density in wet meadow zones was higher than the emergent and upland zones. Over twice the number of species occurred in the wet meadow zone compared with the emergent zone, and close to the value of upland zone. Alpine wetlands in the three reserves in 2014 covered 1175.19 km2 with a classification accuracy of 75.6%. The combination of ecological methods and remote sensing technology will play an important role in wetland delineation at medium and small scales. The correct differentiation between wet meadow and grasslands is the key to improving the accuracy of future wetland delineation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Lee H, Yuan T, Jung H C et al., 2015. Mapping wetland water depths over the central Congo Basin using PALSAR Scan-SAR, Envisat altimetry, and MODIS VCF data. Remote Sensing of Environment, 159(1): 70–79. doi: 10.1016/j.rse.2014.11.030

    Article  Google Scholar 

  • 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)

    Google Scholar 

  • Lillesand T, Kiefer R, Chipman J, 2004. Remote sensing and image interpretation (Fifth Edition). New Jersey: John Wiley & Sons, Inc.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Mitsch W J, Gosselink J G, 2007. Wetlands. New York: John Wiley & Sons, Inc.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Tiner R W, 1999. Wetland Indicators: A Guide to Wetland Identification, Delineation, Classification, and Mapping. Boca Raton, FL: CRC Press.

    Book  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zhenguo Niu or Peng Gong.

Additional information

Foundation item: Under the auspices of National Natural Science Foundation of China (No. 41201445, 41103041), National Science and Technology Support Program (No. 2012BAJ24B01), National High Technology Research and Development Program of China (No. 2009AA12200307)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, Y., Niu, Z., Gong, P. et al. A method for alpine wetland delineation and features of border: Zoigê Plateau, China. Chin. Geogr. Sci. 27, 784–799 (2017). https://doi.org/10.1007/s11769-017-0897-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11769-017-0897-3

Keywords

Navigation