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Banerjee, C and Kumar, DN (2019) Integration of GRACE Data for Improvement of Hydrological Models. [Book Chapter]
Srinivasa Raju, K and Kumar, DN (2018) Selection of global climate models. [Book Chapter]
Shilpa, K and Kumar, DN and Ryu, D (2023) Standalone SAR Soil Moisture Retrieval Using Radar Vegetation Indices. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, 16 July 2023through 21 July 2023, Pasadena, pp. 2641-2644.
Tamang, CP and Paul, S and Kumar, DN (2023) Downscaling of GCM Output Using Deep Learning Techniques. In: 2023 26th International Conference on Hydraulics, Water Resources and Coastal Engineering, HYDRO 2021, 23 - 25 December 2021, Surat, pp. 13-28.
Bala, R and Yadav, VP and Kumar, DN and Prasad, R (2022) Assessment of Surface Energy Fluxes variation with Land Cover Parameters using LandSat Satellite data. In: 2022 URSI Regional Conference on Radio Science, 1 - 4 Dec 2022, Indore.
Paul, S and Poliyapram, V and Kumar, DN and Nakamura, R (2019) Performance evaluation of convolutional neural network at hyperspectral and multispectral resolution for classification. In: SPIE Remote Sensing, 2019Proceedings of SPIE - The International Society for Optical Engineering, 9-11 Sept., 2019, Strasbourg; France.
Paul, S and Kumar, DN (2019) Comparison of Landsat-8 and Sentinel-2 data for classification of rabi crops over Karnataka, India. In: 2019 ISPRS-GEOGLAM-ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring, 18 - 20 February 2019, New Delhi, pp. 579-584.
Mishra, BR and Vogeti, RK and Jauhari, R and Raju, KS and Kumar, DN (2024) Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios. In: Water Science and Technology, 89 (3). pp. 613-634.
Teufel, B and Carmo, F and Sushama, L and Sun, L and Khaliq, MN and Bélair, S and Shamseldin, A and Kumar, DN and Vaze, J (2023) Physics-informed deep learning framework to model intense precipitation events at super resolution. In: Geoscience Letters, 10 (1).
Alexander, AA and Kumar, DN and Knoben, WJM and Clark, MP (2023) Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations. In: Advances in Water Resources, 181 .
Sahadevan, AS and Ahmad, T and Lyngdoh, RB and Kumar, DN (2023) Endmember variability based abundance estimation of red and black soil over sparsely vegetated area using AVIRIS-NG hyperspectral image. In: Advances in Space Research .
Bala, R and Yadav, VP and Kumar, DN and Prasad, R (2023) Assessment of surface energy fluxes relation with land cover parameters in four distinct Indian cities using remote sensing data. In: Theoretical and Applied Climatology .
Mishra, A and Mukherjee, S and Merz, B and Singh, VP and Wright, DB and Villarini, G and Paul, S and Kumar, DN and Khedun, CP and Niyogi, D and Schumann, G and Stedinger, JR (2022) An Overview of Flood Concepts, Challenges, and Future Directions. In: Journal of Hydrologic Engineering, 27 (6). pp. 1819-1834.
Gaur, S and Raju, KS and Kumar, DN and Bajpai, M (2021) Multicriterion decision making in groundwater planning. In: Journal of Hydroinformatics, 23 (3).
Raju, KS and Kumar, DN (2020) Review of approaches for selection and ensembling of GCMS. In: Journal of Water and Climate Change, 11 (3). pp. 577-599.
Karthikeyan, L and Pan, M and Kumar, DN and Wood, EF (2020) Effect of structural uncertainty in passive microwave soil moisture retrieval algorithm. In: Sensors (Switzerland), 20 (4).
Paul, S and Poliyapram, V and Imamoglu, N and Uto, K and Nakamura, R and Kumar, DN (2020) Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13 . pp. 1426-1437.
Shwetha, HR and Kumar, DN (2020) Estimation of daily actual evapotranspiration using vegetation coefficient method for clear and cloudy sky conditions. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13 . pp. 2385-2395.
Paul, S and Kumar, DN (2019) Partial informational correlation-based band selection for hyperspectral image classification. In: Journal of Applied Remote Sensing, 13 (4).
Adarsh, S and Kumar, DN and Deepthi, B and Gayathri, G and Aswathy, SS and Bhagyasree, S (2019) Multifractal characterization of meteorological drought in India using detrended fluctuation analysis. In: International Journal of Climatology, 39 (11). pp. 4234-4255.
Raju, KS and Kumar, DN and Duckstein, L (2006) Artificial neural networks and multicriterion analysis for sustainable irrigation planning. In: Computers & Operations Research, 33 (4). pp. 1138-1153.
Kumar, DN and Raju, KS and Ashok, B (2006) Optimal reservoir operation for irrigation of multiple crops using genetic algorithms. In: Journal of Irrigation and Drainage Engineering-Asce, 132 (2). pp. 123-129.
Kumar, DN and Raju, KS (2020) Editorial: Hydrologic extremes. In: Journal of Water and Climate Change, 11 (S1). v-vii.
Perera, C and Kumar, DN (2020) Editorial: Recent developments of the journal. In: Journal of Water and Climate Change, 11 (4). pp. 931-932.
Kumar, DN and Raju, KS (2020) Editorial: Evolutionary algorithms in water resources. In: H2Open Journal, 3 (1). pp. 390-391.
