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 (Accepted).
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 (6): 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)
OTHER NON-REFEREED PUBLICATIONS