Jitendra Kumar

2022

  • Arendt, C. A., et al. “Increased Arctic No3− Availability As A Hydrogeomorphic Consequence Of Permafrost Degradation And Landscape Drying”. Nitrogen, 2022, pp. 314 - 332.
  • Pallandt, M., et al. “Representativeness Assessment Of The Pan-Arctic Eddy Covariance Site Network And Optimized Future Enhancements”. Biogeosciences, 2022, pp. 559 - 583.
  • Bennett, K. E., et al. “Spatial Patterns Of Snow Distribution For Improved Earth System Modelling In The Arctic”. The Cryosphere, 2022.

2019

  • Salmon, V. G., et al. “Alder Distribution And Expansion Across A Tundra Hillslope: Implications For Local N Cycling”. Frontiers In Plant Science, 2019.
  • Langford, Z. L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets And Convolutional Neural Networks”. Remote Sensing, 2019, p. 69.
  • Wang, Y., et al. “Mechanistic Modeling Of Microtopographic Impacts On Co2 And Ch4 Fluxes In An Alaskan Tundra Ecosystem Using The Clm‐Microbe Model”. Journal Of Advances In Modeling Earth Systems, 2019, p. 17.

2017

  • Langford, Z. L., et al. “Convolutional Neural Network Approach For Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion”. 2017 Ieee International Conference On Data Mining Workshops (Icdmw), 2017, pp. 770-778.
  • Langford, Z. L., et al. “Convolutional Neural Network Approach For Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion”. 2017 Ieee International Conference On Data Mining Workshops (Icdmw)2017 Ieee International Conference On Data Mining Workshops (Icdmw), IEEE, 2017.

2016

  • Tang, G., et al. “Addressing Numerical Challenges In Introducing A Reactive Transport Code Into A Land Surface Model: A Biogeochemical Modeling Proof-Of-Concept With Clm–Pflotran 1.0”. Geoscientific Model Development, 2016, pp. 927 - 946.
  • Langford, Z. L., et al. “Mapping Arctic Plant Functional Type Distributions In The Barrow Environmental Observatory Using Worldview-2 And Lidar Datasets”. Remote Sensing, 2016, p. 733.
  • Kumar, J., et al. “Modeling The Spatiotemporal Variability In Subsurface Thermal Regimes Across A Low-Relief Polygonal Tundra Landscape”. The Cryosphere, 2016, pp. 2241 - 2274.

2015

  • Warren, J. M., et al. “Root Structural And Functional Dynamics In Terrestrial Biosphere Models - Evaluation And Recommendations”. New Phytologist, 2015, pp. 59 - 78.

2013

  • Hoffman, F. M., et al. “Representativeness-Based Sampling Network Design For The State Of Alaska”. Landscape Ecology, 2013, pp. 1567 - 1586.