Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities

By Anuj Karpatne, Ankush Khandelwal, Xi C. Chen, Varun Mithal, James H. Faghmous, Vipin Kumar. 2016

82 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Arindam Banerjee
5. Michael S. Steinbach
6. James H. Faghmous

In Global and Planetary Change

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Michael S. Steinbach
5. Shashi Shekhar
6. James H. Faghmous
7. Arindam Banerjee
8. Auroop Ratan Ganguly

In Oceanography

1. Anuj Karpatne
2. Vipin Kumar
3. James H. Faghmous

Citations in the corpus

• Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, background): “signals, and the inherent variability of water and land classes over space and time [58], [59].”
• Spatio-Temporal Data Mining (2017, methodology): “, the mapping of surface water dynamics using multi-spectral remote sensing data (Karpatne et al. 2016b; Khandelwal et al. 2017).”