Rahul Nigam

ORCID: 0000-0002-0497-5898
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Cosmology and Gravitation Theories
  • Black Holes and Theoretical Physics
  • Plant Water Relations and Carbon Dynamics
  • Spectroscopy and Chemometric Analyses
  • Urban Heat Island Mitigation
  • Galaxies: Formation, Evolution, Phenomena
  • Smart Agriculture and AI
  • Leaf Properties and Growth Measurement
  • Gamma-ray bursts and supernovae
  • Astronomy and Astrophysical Research
  • Remote Sensing and Land Use
  • Remote Sensing and LiDAR Applications
  • Climate variability and models
  • Physics of Superconductivity and Magnetism
  • Greenhouse Technology and Climate Control
  • Solar Radiation and Photovoltaics
  • Advanced Condensed Matter Physics
  • Stellar, planetary, and galactic studies
  • Astrophysical Phenomena and Observations
  • Particle physics theoretical and experimental studies
  • Meteorological Phenomena and Simulations
  • Quantum Chromodynamics and Particle Interactions
  • Pulsars and Gravitational Waves Research
  • Climate change impacts on agriculture

Birla Institute of Technology and Science - Hyderabad Campus
2015-2024

Indian Space Research Organisation
2014-2024

Birla Institute of Technology and Science, Pilani
2016-2024

University of Information Science and Technology St. Paul The Apostle
2021

Dr. A.P.J. Abdul Kalam Technical University
2020

Desh Bhagat Ayurvedic College and Hospital
2018

University of Wollongong
2009-2011

Tata Institute of Fundamental Research
2007-2009

Punjab Agricultural University
2006

Merrill (United States)
2002

Systematic dc and ac magnetic susceptibility measurements performed on RuSr2Eu1.5Ce0.5Cu2O10−δ (Ru1222) demonstrate a paramagnetic to ferromagnetic transition around 95 K. The third harmonic of the reveals that system undergoes spin glass below 75 features zero-field cooled field magnetization curves Ru1222 material resemble those cluster state, rather than canonical state. versus applied loops do not saturate, even at very high fields, resulting in short range order system, which...

10.1063/1.3063069 article EN Journal of Applied Physics 2009-02-06

Abstract The INCOMPASS field campaign combines airborne and ground measurements of the 2016 Indian monsoon, towards ultimate goal better predicting monsoon rainfall. supplies majority water in South Asia, but forecasting from days to season ahead is limited by large, rapidly developing errors model parametrizations. lack detailed observations prevents thorough understanding circulation its interaction with land surface: a process governed boundary‐layer convective‐cloud dynamics. used UK...

10.1002/qj.3633 article EN cc-by Quarterly Journal of the Royal Meteorological Society 2019-08-12

Plant growth processes and productivity of agroecosystems depend highly on evapotranspiration from the land (soil‐crop cover complex) surface. A study was carried out using MODIS TERRA optical thermal band data ground observations to estimate evaporative fraction daily actual (AET) over in India. Five regions, each covering a 10 km×10 km area falling agricultural use, were selected for at time closest overpasses. The radiation crop parameters paddy (irrigated rainfed), cotton (rainfed),...

10.1080/01431160600935620 article EN International Journal of Remote Sensing 2007-05-01

Abstract. The Indian and French Space Agencies, ISRO CNES, have conceptualized a space-borne Thermal Infrared Reflectance (TIR) mission, TRISHNA (Thermal infRared Imaging Satellite for High-resolution Natural Resource Assessment). primary design drivers of are the monitoring (i) terrestrial water stress use, (ii) coastal continental water. A suit four TIR bands six optical is planned. will be centred at 8.6 μm, 9.1 10.3 μm 11.5 to provide noon-night global observations 57m nadir resolution...

10.5194/isprs-archives-xlii-3-w6-403-2019 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2019-07-26

Advancements in hyperspectral remote sensing technology have opened new avenues to explore innovative ways map crops terms of area and health.To study precise mapping agriculture horticulture along with biophysical biochemical constituents at field scale, an airborne AVIRIS-NG imaging has been conducted various agro-climatic regions representing diverse agricultural types India.Crop classification available developed algorithms applied over homogeneous heterogeneous cropped areas.The...

10.18520/cs/v116/i7/1108-1123 article EN Current Science 2019-04-10

Abstract Under the INCOMPASS project, state of art eddy‐covariance based surface flux measurement systems were installed at eight locations across India. These sites cover different climatic conditions, land use and cover, water management practices. Here we present initial analysis measurements taken seven mainly focusing on year 2017, quantifying for first time remarkable contrasts in evaporative fraction seasons, climate zones practices Indian subcontinent. With exception Jaisalmer which...

10.1002/qj.3688 article EN Quarterly Journal of the Royal Meteorological Society 2019-10-23

The Hubble constant ($H_0$), which represents the expansion rate of Universe, is one most important cosmological parameters. recent measurements $H_0$ using distance ladder methods such as Type Ia Supernovae (SNe Ia) are significantly greater than CMB by Planck. difference points to a crisis in standard model cosmology termed tension. In this work we compare different models, determine and comment on tension data from differential ages galaxies. use free systematic effects absolute age...

10.1088/1674-4527/acd0e8 article EN Research in Astronomy and Astrophysics 2023-04-27

The fragmented nature of arable landscapes and diverse cropping patterns often thwart the precise mapping crop types. Recent advances in remote-sensing technologies data mining approaches offer a viable solution to this problem. We demonstrated potential using hyperspectral imaging an ensemble classification approach that combines five machine-learning classifiers map types Anand District Gujarat, India. derived set narrow/broad-band indices from Airborne Visible Infrared Imaging...

10.1080/19479832.2019.1706646 article EN International Journal of Image and Data Fusion 2019-12-23

Temperature and magnetic field dependent neutron diffraction has been used to study the order in Ru0.9Sr2YCu2.1O7.9. The appearance of (1/2, 1/2, 1/2), 3/2), 5/2) peaks below TM=140 K manifests antiferromagnetic order. Neutron patterns measured applied fields from 0 6 T show destruction with increasing field. There is no evidence spontaneous or field-induced long range ferromagnetic This latter result contradicts vast majority other experimental observations for this system.

10.1063/1.3365576 article EN Journal of Applied Physics 2010-05-01

The skill of weather forecasts at high spatial resolution depends on accurate representation land surface states appropriate and temporal scales that modulate flux partitioning in the numerical prediction models. In this study, Weather Research Forecasting (WRF) model is customized to assess impact albedo (LSA) derived from Kalpana-1 Very High Resolution Radiometer (K1VHRR) comparison default monthly climatological United States Geological Survey (USGS). A two-stage upscaling ground-measured...

10.1002/2013jd020534 article EN Journal of Geophysical Research Atmospheres 2014-02-18

10.1088/1126-6708/2007/10/037 article EN Journal of High Energy Physics 2007-10-08

Scatterometer instruments transmit a series of microwave pulses and measure the returned echo to determine normalized radar cross section (σ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sup> ) over target derive near-ocean-surface wind vector. Accuracy derived vector data sparse oceans therefore depends on accuracy σ measurement. For this purpose, accurate calibration scatterometer is required. As preparation toward Oceansat-2 mission,...

10.1109/tgrs.2010.2094196 article EN IEEE Transactions on Geoscience and Remote Sensing 2011-01-07

Cosmic Microwave Background (CMB) has been a cornerstone in many cosmology experiments and studies since it was discovered back 1964. Traditional computational models like CAMB that are used for generating CMB temperature anisotropy maps extremely resource intensive act as bottleneck require large amount of data analysis. In this paper, we present new approach to the generation using specific class neural networks called Generative Adversarial Network (GAN). We train our deep generative...

10.48550/arxiv.1908.04682 preprint EN cc-by arXiv (Cornell University) 2019-01-01

In this article, we set up a variational problem to arrive at the equation of maximal hypersurface in interior spherically symmetric evolving trapped region. first part present Lagrangian and corresponding Euler-Lagrange equations that maximize volume region is formed dynamically due infalling matter D-dimensions, with without cosmological constant. second part, explore properties special radii, which call Reinhart play crucial role approximating black hole. We derive formula locate these...

10.1103/physrevd.109.044019 article EN Physical review. D/Physical review. D. 2024-02-07

In Schwarzschild spacetime, Reinhart (1973) has shown the hypersurface ${r}_{R}=3M/2$ (the subscript stands for ``Reinhart'') to be a maximal hypersurface. This radius ${r}_{R}$ plays crucial role in evaluating interior volume of black hole. this article, we find such Kerr and Kerr-Newman holes. We obtain analytical expression as function polar angle $\ensuremath{\theta}$ small $a/M$ limit both using two independent methods: (a) vanishing trace extrinsic curvature, (b) variational method....

10.1103/physrevd.109.124061 article EN Physical review. D/Physical review. D. 2024-06-26

In the modern world, airlines play a vital role for transporting people and goods on time. Any delay in timings of these flights can adversely affect work business thousands at any given moment. Forecasting delays is very important during planning process commercial airlines. Several techniques have already been proposed designing models to forecast departure time aircraft. But because continuously increasing complexity airplane transportation amount data related it, accurate prediction...

10.1109/iss1.2017.8389254 article EN 2017-12-01

Abstract. Spectral yield models based on Vegetation Index (VI) and the mechanistic crop simulation are being widely used for prediction. However, past experience has shown that empirical nature of VI intensive data requirement complex limited their use regional spatial prediction especially operational use. The present study was aimed at development an intermediate method remote sensing physiological concepts such as photo-synthetically active solar radiation (PAR) fraction PAR absorbed by...

10.5194/isprsarchives-xl-8-977-2014 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2014-11-28
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