Landsat based distribution mapping of high-altitude peatlands in Hindu Kush Himalayas — a case study of Broghil Valley, Pakistan

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In the alpine regions of Hindu Kush, Himalayas and Karakorum, climatic and topographic conditions can support the formation of peat, important for the livelihood of the local communities, and ecological services alike. These peatlands are a source of fuel for the local community, habitat for nesting birds, and water regulation at source for rivers. Ground-based surveys of high-altitude peatlands are not only difficult, but also expensive and time consuming. Therefore, a method using cost-effective remote sensing technology is required. In this article we assessed the distribution and extent of high-altitude peatlands in a 2000 ha area of Broghil Valley using Landsat 8 data. The composite image was trained using a priori knowledge of the area, and classified into peatland and non-peatland land covers using a supervised decision tree algorithm. The Landsat-based classification map was compared with field data collected with a differential GPS. This comparison suggests 82% overall accuracy, which is fairly high for high altitude areas. The method was successfully applied and has the potential to be replicated for other areas in Pakistan and the high-altitude regions of the neighbouring Asian countries.

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  1. Arvidson T, Gasch J, Goward SN (2001) Landsat 7’s long-term acquisition plan — an innovative approach to building a global imagery archive. Remote Sensing of Environment 78: 13–26.

  2. Bond P, Campbell KM, Scott TM (1986) An overview of peat in Florida and related issues. State of Florida, Department of Natural Resource Management and Bureau of Geology; Special Publication No. 27: 151.

  3. Biancalani R, Avagyan A (2014) Towards climate-responsible peatlands management. Food and Agriculture Organization of the United Nations. p 100.

  4. Breiman L (1996) Bagging predictors. Machine Learning 24: 123–140

  5. Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and Regression Trees. Chapman and Hall/CRC, Boca Raton, FL. p 368.

  6. Bwangoy J-RB, Hansen MC, Potapov P, et al. (2013) Identifying nascent wetland forest conversion in the Democratic Republic of the Congo. Wetlands Ecology and Management 21(1): 29–43.

  7. Chander G, Markham BL, Helder DL (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113: 893–903.

  8. Christopherson RW (2000) Geosystems: An Introduction to Physical Geography. 4th Edition, Prentice-Hall, Inc., Canada. p 626.

  9. Cihlar J (2000) Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing 21(6–7): 1093–1114.

  10. Clark D (2008) The origins and development of peat industry in Ireland. Peatlands International 1: 12–15.

  11. Cooper DJ, Wolf EC, Colson C, et al. (2018) Alpine peatlands of the Andes, Cajamarca, Peru. Arctic, Antarctic and Alpine Research 42(01): 19–33.

  12. Dijk AV, Hussein MH (1994). Environmental profile of North-West Frontier Province Pakistan. The Netherlands Ministry of Foreign Affairs and IUCN Pakistan, Islamabad.

  13. Frisch W, Mesched M, Blakey T (2011) Plate Tectonics: Continental Drift and Mountain Building. Heidelberg: Springer Berlin Heidelberg. p 207.

  14. Gary MR, McAfee Jr, Wolf CL (eds.) (1974) Glossary of Geology. American Geological Institute, Alexandria, VA. p 805.

  15. Hansen MC, Loveland TR (2012) A review of large area monitoring of land cover change using Landsat data. Remote Sensing of Environment 122: 66–74.

  16. Hansen MC, Dubayah R, DeFries R (1996) Classification trees: An alternative to traditional land cover classifiers. International Journal of Remote Sensing 17(5): 1075–1081

  17. Hreibljan JA, Cooper DJ, Sueltenfuss J, et al. (2015) Carbon storage and long-term rate of accumulation in high-altitude Andean peatlands of Bolivia. Mires and Peat 15: 1–14.

  18. Ives JD, Messerli B (1989) The Himalayan Dilemma: Reconciling development and conservation. Routledge, New York. p 324.

  19. Joosten H, Tapio-Bistrom M, Tol S (2012) peatlands — guidance for climate change mitigation through conservation, rehabilitation and sustainable use (2nd ed.). Food and Agriculture Organization of the United Nations. p100.

  20. Khan A, Said A (2012) Wetlands Management Plan for Broghil National Park. Pakistan Wetlands Program, Islamabad. p 68.

  21. Khan A, Hansen CM, Potapov P, et al. (2016) Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan. International Journal of Remote Sensing 37: 1391–1410.

  22. Khan A, Said A, Hamid A (2010) Socio-economic profile of selected communities in the CIWC and NAWC Pakistan. Pakistan Wetlands Program and GE4DE, ILO, Islamabad.

  23. Kumaran NK, Padmalal D, Limaye RB, et al. (2016) Tropical Peat and Peatland Development in the Floodplains of the Greater Pamba Basin, South-Western India during the Holocene. PLoS ONE 11(5): 1–21.

  24. Lafleur PM, Moore TR, Roulet NT, Frokling S (2005) Ecosystem respiration in a cool temperate bog depends on peat temperature but not water table. Ecosystems: 619–629.

  25. Laiho R (2006) Decomposition in peatlands: Reconciling seemingly contrasting results on the impacts of lowered water levels. Soil Biology & Biochemistry 38: 2011–2024.

  26. Ning W (2012) Conservation of High Altitude Peatlands in the Greater Himalayas. In, Conference presentation at Ramsar COP 11 (p.11). Bucharest, July 10, 2012,: Ramsar Secretariate. Avialable online at:

  27. Parish F, Sirin A, Charman D, et al. (2008) Assessment on peatlands, biodiversity and climate change. Global Environment Center, Kuala Lumpur and Wetlands International, Wageningen. p 179.

  28. Potapov PV, Turubanova SA, Hansen MC, et al. (2012) Quantifying Forest cover loss in Democratic Republic of the Congo 2000–2010 with Landsat ETM Plus data. Remote Sensing of Environment 122: 106–116.

  29. Prest VK (1970) Quaternary Geology of Canada. In: Douglas RJW (ed.), Geology and Economic Minerals of Canada, Geological Survey of Canada. pp 675–764.

  30. Rafae U (2015) An overview of Broghil Valley CCA Project Jurisdiction. In: IADC Inc presentation online at:

  31. Ranhotra PS and Kar R (2011) Palynological study of glacio-geomorphic features and its relevance to Quaternary palaeoclimate and glacial history. Current Science 100(5): 641–647.

  32. Ripley BD (1996) Pattern Recognition and Neural Networlds. Cambridge University Press: New York, NY, USA.

  33. Shah KA, Ahmad H (2013) Peatlands of Broghil national park, Pakistan: human use and management strategy. In: Ning W, et al. (eds.), High-Altitude Rangelands and their Interfaces in the Hindu Kush Himalayas. Special Publication, Kathmandu, Nepal: International Center for Integrated Mountain Development (ICIMOD). pp 137–145.

  34. Shrestha DP, Zinck JA (2001) Land use classification in mountainous areas: integration of image processing, digital elevation data and field knowledge (application to Nepal). International Journal of Applied Earth Observation and Geoinformation 3: 78–85.

  35. Stehman SV, Czaplewski RL (1998) Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment 64: 331–344.

  36. Tarnocai C, Stolbovoy V (2006) Northern Peatlands: their characteristics, development and sensitivity to climate change. In: Martini IP, Cortizas A, Chesworth M (eds.) Peatlands: Evolution and Records of Environmental and Climate Changes. Elsevier, Amsterdam. pp 17–51.

  37. Tokola T, Lofman S, Erkkila A (1999) Relative calibration of multitemporal landsat data for forest cover change detection: Remote Sensing of Environment 68: 1–11.

  38. Ullah I, Khan A (2010) Organic matter contents in selected peatland and wetlands of Pakistan. The role of water level. BALWOIS: 1–10

  39. UNDP Pakistan (2002) Indus dolphin. Documentary by UNDP Pakistan, Islamabad and WWF Pakistan. U.S. Department of Energy 1979 Peat-Prospectus: United States Department of Energy, Division of Fossil Fuel Processing, Washington D.C. p 79.

  40. Xie YC, Sha ZY, Yu M (2008) Remote sensing imagery in vegetation mapping: a review. Journal of Plant Ecology 1: 9–23.

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Khan, A., Said, A. & Ullah, I. Landsat based distribution mapping of high-altitude peatlands in Hindu Kush Himalayas — a case study of Broghil Valley, Pakistan. J. Mt. Sci. 17, 42–49 (2020).

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  • Peatland distribution
  • Chitral
  • Qurumbar
  • Wakhi
  • Hindu Kush
  • Yarkhun