What is he best known for?
The fields of study he is best known for:
- Statistics
- Ecology
- Agriculture
Prashant K. Srivastava spends much of his time researching Hydrology, Remote sensing, Groundwater, Land cover and Pollution.
His studies deal with areas such as Hydrogeology, Cartography and Meteorology as well as Remote sensing.
His Meteorology research incorporates elements of Probability distribution and Climatology.
Land cover is a subfield of Land use that he investigates.
Prashant K. Srivastava focuses mostly in the field of Pollution, narrowing it down to matters related to Water quality and, in some cases, Groundwater pollution and Multivariate interpolation.
His work carried out in the field of Remote sensing brings together such families of science as Driving factors and Earth observation.
His most cited work include:
- Selection of classification techniques for land use - land cover change investigation (202 citations)
- Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application (148 citations)
- Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India (145 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Remote sensing, Meteorology, Hydrology, Water content and Climatology.
The various areas that Prashant K. Srivastava examines in his Remote sensing study include Radar, Land cover and Microwave.
Prashant K. Srivastava has included themes like Earth observation, Vegetation and Support vector machine in his Land cover study.
His research on Meteorology often connects related topics like Evapotranspiration.
Prashant K. Srivastava interconnects Structural basin and Pollution in the investigation of issues within Hydrology.
His Water content research integrates issues from Mean squared error and Soil science.
He most often published in these fields:
- Remote sensing (49.21%)
- Meteorology (44.84%)
- Hydrology (31.35%)
What were the highlights of his more recent work (between 2019-2021)?
- Remote sensing (49.21%)
- Hyperspectral imaging (7.14%)
- Water content (20.63%)
In recent papers he was focusing on the following fields of study:
Prashant K. Srivastava focuses on Remote sensing, Hyperspectral imaging, Water content, Hydrology and Agriculture.
His Remote sensing study combines topics from a wide range of disciplines, such as Earth observation, Normalized Difference Vegetation Index and Satellite data.
The concepts of his Water content study are interwoven with issues in Mean squared error, Soil science and Artificial neural network.
Prashant K. Srivastava performs multidisciplinary study on Hydrology and Quality in his works.
He focuses mostly in the field of Agriculture, narrowing it down to topics relating to Irrigation and, in certain cases, Agricultural engineering, Soil water, Water quality and Decision support system.
His Evapotranspiration research incorporates themes from Meteorology, Weather Research and Forecasting Model and Hydrometeorology.
Between 2019 and 2021, his most popular works were:
- Integrated framework for soil and water conservation in Kosi River Basin (14 citations)
- Evaluating the 2018 extreme flood hazard events in Kerala, India (10 citations)
- Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection (6 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Ecology
- Agriculture
Prashant K. Srivastava spends much of his time researching Drainage basin, Hydrology, Flood myth, Precipitation and Mean squared error.
The study incorporates disciplines such as Ensemble forecasting, Earth observation and Land use in addition to Drainage basin.
His Hydrology research is multidisciplinary, incorporating elements of Soil conservation and Coupled model intercomparison project.
His Flood myth research includes elements of Monsoon, Satellite precipitation and Sinuosity.
Prashant K. Srivastava frequently studies issues relating to Climatology and Precipitation.
His studies deal with areas such as Evapotranspiration, Downscaling, Hydrometeorology and Water content as well as Mean squared error.
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