Estimation Model of Ground Water Table at Peatland in Central Kalimantan, Indonesia

  • Wataru Takeuchi
  • Takashi Hirano
  • Orbita Roswintiarti


This research is investigating the ground water table at forested peatland in Kalimantan which is expected to be an indicator for better wild fire control. Firstly, modified Keeth-Byram drought index (mKBDI) was computed by incorporating satellite-based precipitation GSMaP and MTSAT land surface temperature (LST). Secondly a regression analysis was carried out between mKBDI and near surface ground water table (GWT) measurements at drained forest (DF), un-drained forest (UF) and drained burnt forest (DB) respectively. Overall a modeled GWT at forested peatland showed very good time-series of behaviors along with that of in-situ measurement. A modeled GWT was more sensitive to precipitation resulting in a drastic water table rise-up and more calibration is indispensable to get a better result. A comparison of GWT and hotpot detected by MODIS showed that lower GWT areas clearly have more fire occurrences. It was found that mKBDI was well calibrated with GWT at the above mentioned three measurements sites and a very good indicator for peat fire risk zone mapping at forested peatland. These modeling results are updated in a near-real time fashion and all the database are open to public at


Evapotranspiration Precipitation and hotspots 



This study is partially supported by SATREPS (Science and Technology Research Partnership for Sustainable Development) project entitled as “Wild fire and carbon management in peat-forest in Indonesia” founded by JST (Japan Science and Technology Agency) and JICA (Japan International Cooperation Agency).


  1. Bouwer LM, Biggs TW, Aerts JCJH (2008) Estimates of spatial variation in evaporation using satellite-derived surface temperature and a water balance model. Hydrol Proced 22:670–682CrossRefGoogle Scholar
  2. Fisher JB et al (2009) The land-atmosphere water ux in the tropics. Glob Chang Biol 15:2694–2714CrossRefGoogle Scholar
  3. Groeneveld DP, Baugh WM, Sanderson JS, Cooper DJ (2007) Annual groundwater evapotranspiration mapped from single satellite scenes. J Hydrol 344:146–156CrossRefGoogle Scholar
  4. Hirano T et al (2005) Energy balance of a tropical peat swamp forest in Central Kalimantan, Indonesia fires. Phyton 45(4):67–71Google Scholar
  5. Hirano T, Segah H, Harada T, Limin S, June T, Hirata R, Osaki M (2007) Carbon dioxide balance of a tropical peat swamp forest in Kalimantan, Indonesia. Glob Chang Biol 13:412–425CrossRefGoogle Scholar
  6. Jauhiainen J, Takahashi H, Hekkinen JEP, Martikainen PJ, Vasander H (2005) Carbon uxes from a tropical peat swamp forest floor. Glob Chang Biol 11:1788–1797CrossRefGoogle Scholar
  7. Keetch JJ, Byram GM (1968) A drought index for forest fire control. Res. Paper SE-38. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, AshevilleGoogle Scholar
  8. Mu Q, Heinsch FA, Zhao M, Running SW (2007) Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens Environ 111:519–536CrossRefGoogle Scholar
  9. Oyoshi K, Takeuchi W, Tamura M (2010) Evaluation of the algorithms for land surface temperature retrieval from MTSAT data. Journal of Jpn Photogramm Remote Sens 49(4):251–259 (in Japanese with English abstract)CrossRefGoogle Scholar
  10. Takeuchi W, Gonzalez L (2009) Blending MODIS and AMSR-E to predict daily land surface water coverage. In proceed. International Remote Sensing Symposium (ISRS), Busan, South KoreaGoogle Scholar

Copyright information

© Springer Japan 2016

Authors and Affiliations

  • Wataru Takeuchi
    • 1
  • Takashi Hirano
    • 2
  • Orbita Roswintiarti
    • 3
  1. 1.Institute of Industrial ScienceThe University of TokyoMeguroJapan
  2. 2.Research faculty of agricultureHokkaido UniversitySapporoJapan
  3. 3.Indonesian National Institute of Aeronautics and Space (LAPAN)JakartaIndonesia

Personalised recommendations