4. Bhattarai, N., Shaw, S.B., Quackenbush, L.J., Im, J., and Niraula, R. 2016. Evaluating Five Remote Sensing based Single-source Surface Energy Balance Models for Estimating Daily Evapotranspiration in a Humid Subtropical Climate. International Journal of Applied               Earth Observations and Geoinformation 49:75-86. Link
3. Bhattarai, N., Quackenbush, L.J., Dougherty, M., and Marzen, L. 2015. A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution. International Journal of Remote Sensing 36: 115-143.Link
2. Shaw, S.B., Marrs, J., Bhattarai, N., and Quackenbush, L.J. 2014. Longitudinal Study of the Impacts of Land Cover Change on Hydrologic Response in Four Mesoscale Watersheds in New York State, USA. Journal of Hydrology 519: 12-22. Link
1. Bhattarai, N., Dougherty, M., Marzen, L., and Kailn, L., 2012. Validation of evaporation estimates from a modified surface energy balance algorithms for land (SEBAL) model in the southeastern US. Remote Sensing Letters 3: 511-519.Link

Papers in Review/Prep (only first-authored papers listed)
Bhattarai, N. et al., A new optimized algorithm for automating two commonly used Single-source Surface Energy Balance Models.
Bhattarai, N. et al., Object-based analysis of forest degradation using very high resolution imagery (In Prep)
Bhattara, N. et al., Using remotely sensed data in estimating seasonal consumptive water demand from plants under varying precipitation conditions (In Prep)


  1. Bhattarai, N. and Quackenbush, L.J. 2013. A data fusion approach for monitoring remotely sensed seasonal evapotranspiration. Abstract H43G-1564, 2013 Fall Meeting, AGU, San Fransisco, CA, December 9-13, 2013.
  2. Bhattarai, N., Quackenbush, L.J., Calandra, L., Im, J., and Teale, S., 2012. An automated object-based approach to detect Sirex-infestation in pines. In ASPRS 2012 Annual conference, Sacramento, CA, March 19-23, 2012
  3. Bhattarai, N., Quackenbush, L.J., Calandra, L., Im, J., and Teale, S., 2011. Spectral analysis of scotch pine infested by sirex noctillo. In ASPRS 2011 Annual conference, May 1-5, 2011, Milwaukee, WI, pp 48-57.
  4. Bhattarai, N. 2010. Use of Remotely Sensed Data to Quantify Plant Water Use from Irrigated Lands in Wolf Bay Watershed Area, MS Thesis, Auburn University.
  5. Bhattarai, N., Dougherty, M., Marzen, L., and Kailn, L., 2009.  Use of Surface Energy Balance Algorithm to Estimate Evapotranspiration from Landsat 5 TM Imagery. Poster presented at Annual Alabama Water Resources Conference,  September 9-11, 2009, Orange Beach, AL.
Reviewed Papers For
International Journal of Remote Sensing
Hydrological Processes
Remote Sensing
Stochastic Environmental Research and Risk Assessment
GIScience & Remote Sensing