Evaluation of Variable Infiltration Capacity model and MODIS-Terra satellite-derived grid-scale evapotranspiration... A Srivastava, B Sahoo, N Raghuwanshi Journal of Irrigation and Drainage Engineering 143 (8), 1-1, 2017 | 139 | 2017 |
The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt A Elbeltagi, MR Aslam, A Malik, B Mehdinejadiani, A Srivastava, ... Science of the Total Environment 743, 140770, 2020 | 114 | 2020 |
Hydrological response to agricultural land use heterogeneity using variable infiltration capacity model A Srivastava, N Kumari, M Maza Water Resources Management 34, 3779–3794, 2020 | 100 | 2020 |
A long-term spatiotemporal analysis of vegetation greenness over the Himalayan Region using Google Earth Engine N Kumari, A Srivastava, UC Dumka Climate 9 (7), 109, 2021 | 96 | 2021 |
The grass is not always greener on the other side: Seasonal reversal of vegetation greenness in aspect‐driven semiarid ecosystems N Kumari, PM Saco, JF Rodriguez, SA Johnstone, A Srivastava, KP Chun, ... Geophysical Research Letters 47 (15), e2020GL088918, 2020 | 78 | 2020 |
Identification of suitable hydrological models for streamflow assessment in the Kangsabati River Basin, India, by using different model selection scores N Kumari, A Srivastava, B Sahoo, NS Raghuwanshi, D Bretreger Natural Resources Research 30 (6), 4187-4205, 2021 | 63 | 2021 |
The Role of landscape morphology on soil moisture variability in semi‐arid ecosystems A Srivastava, PM Saco, JF Rodriguez, N Kumari, KP Chun, O Yetemen Hydrological Processes 35, e13990, 2021 | 61 | 2021 |
Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach A Srivastava, B Sahoo, NS Raghuwanshi, C Chatterjee Irrigation Science 36, 289-300, 2018 | 49 | 2018 |
Multi-model approach to assess the dynamics of hydrologic components in a tropical ecosystem A Srivastava, P Deb, N Kumari Water Resources Management 34 (1), 327-341, 2020 | 48 | 2020 |
Global analysis of atmospheric transmissivity using cloud cover, aridity and flux network datasets A Srivastava, JF Rodriguez, PM Saco, N Kumari, O Yetemen Remote Sensing 13 (9), 1716, 2021 | 33 | 2021 |
An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method N Kumari, A Srivastava Agricultural Research, 1-9, 2019 | 25 | 2019 |
Influence of Orographic Precipitation on Coevolving Landforms and Vegetation in Semi‐arid Ecosystems A Srivastava, O Yetemen, PM Saco, JF Rodriguez, N Kumari, KP Chun Earth Surface Processes and Landforms, 2022 | 23 | 2022 |
Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model M Maza, A Srivastava, DS Bisht, NS Raghuwanshi, A Bandyopadhyay, ... Journal of Earth System Science 129, 1-16, 2020 | 22 | 2020 |
Comparative evaluation of daily evapotranspiration using artificial neural network and variable infiltration capacity models. S Adamala, A Srivastava Agricultural Engineering International: CIGR Journal 20 (1), 2018 | 20 | 2018 |
Evaluation of spatio-temporal evapotranspiration using satellite-based approach and lysimeter in the agriculture dominated catchment U Kumar, A Srivastava, N Kumari, Rashmi, B Sahoo, C Chatterjee, ... Journal of the Indian Society of Remote Sensing 49, 1939-1950, 2021 | 18 | 2021 |
Artificial intelligent-based water and soil management A Elbeltagi, NL Kushwaha, A Srivastava, AT Zoof Deep learning for sustainable agriculture, 129-142, 2022 | 17 | 2022 |
Aspect-controlled spatial and temporal soil moisture patterns across three different latitudes A Srivastava, O Yetemen, N Kumari, PM Saco Proceedings of the 23rd International Congress on Modelling and Simulation …, 2019 | 15 | 2019 |
Groundwater quality issues and challenges for drinking and irrigation uses in central ganga basin dominated with rice-wheat cropping system S Kumar, M Kumar, VK Chandola, V Kumar, RK Saini, N Pant, N Kumari, ... Water 13 (17), 2344, 2021 | 14 | 2021 |
The spatio-temporal NDVI analysis for two different Australian catchments N Kumari, O Yetemen, A Srivastava, JF Rodriguez, PM Saco 23rd International Congress on Modelling and Simulation (MODSIM2019 …, 2019 | 11 | 2019 |
Aboveground forest biomass estimation by the integration of TLS and ALOS PALSAR data using machine learning A Singh, SKP Kushwaha, S Nandy, H Padalia, S Ghosh, A Srivastava, ... Remote Sensing 15 (4), 1143, 2023 | 10 | 2023 |