Zobrazeno 1 - 10
of 67
pro vyhledávání: '"RAHUL NIGAM"'
Publikováno v:
Nuclear Physics B, Vol 1007, Iss , Pp 116676- (2024)
In Schwarzschild spacetime, Reinhart (1973) has shown the hypersurface rss=3M/2 (the subscript stands for “steady-state”) to be the maximal hypersurface. This steady-state radius rss plays a crucial role in defining and evaluating the interior vo
Externí odkaz:
https://doaj.org/article/179d8481ce9549d9863e899f60393d41
Autor:
KARUNESH K. SHUKLA, AJANTA BIRAH, RAHUL NIGAM, A. K. KANOJIA, MUKESH KM KHOKHAR, B. K. BHATTACHARYA, SUBHASH CHANDER
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 2 (2023)
Recent development in remote sensing technology using hyperspectral reflectance or spectroscopic data was enabled the rapid and ongoing progression of monitoring, mapping, and surveillance/detection of insects tools for better crop management. This s
Externí odkaz:
https://doaj.org/article/c237ba220321406b81d3051451bd680d
Publikováno v:
Physics Letters B, Vol 840, Iss , Pp 137886- (2023)
Recent observations of Type Ia supernovae (SNe) by SH0ES collaboration (R11 and R16) diverge from the value reported by recent CMBR observations utilising the Planck satellite and application of the ΛCDM cosmological model by at least 3σ. It is amo
Externí odkaz:
https://doaj.org/article/bbf6d6a3d30f41008369820ec366ed70
Autor:
Karunesh K. Shukla, Rahul Nigam, Ajanta Birah, A. K. Kanojia, Anoop Kumar, Bimal K. Bhattacharya, Subhash Chander
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 47 (2023)
Timely detection of pest infestation in agricultural crops plays a pivotal role in the planning and execution of pest management interventions. In this study, a ground measured electromagnetic spectrum through hyperspectral sensing (400–2500 nm) wa
Externí odkaz:
https://doaj.org/article/8ae991d483994f769123f3ed13a4807b
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 1 (2023)
Anomalous and erratic behaviour of weather pose various challenges for agricultural community from crop sowing to post harvest. The balance between turn-around-time for farm operations and resource optimization can limit the expected losses due to un
Externí odkaz:
https://doaj.org/article/92b144004b9a4716a4fd64f7706b5aac
Publikováno v:
Physics Letters B, Vol 833, Iss , Pp 137381- (2022)
In this article we apply the technique for maximal volume estimation of a black hole developed by Christodoulou and Rovelli [1] for Schwarzschild black hole and by Zhang et al. [3] for non rotating BTZ black hole, to the case of a rotating black hole
Externí odkaz:
https://doaj.org/article/9cf1c431149549f4b73900fc96242e27
Modeling Evapotranspiration at Larger Temporal Scales: Effects of Temporal Aggregation and Data Gaps
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4142 (2022)
Evapotranspiration (ET) at weekly and monthly time scales is often needed for various applications. When using remote sensing (RS)-based models, this can be achieved either by averaging all the required input variables to the intended time scale and
Externí odkaz:
https://doaj.org/article/d293880104504145a66ec8d169ca8227
Publikováno v:
Journal of Agrometeorology, Vol 22, Iss 1 (2020)
Externí odkaz:
https://doaj.org/article/f61bb1cc91ea41678755b1c9894665fe
Publikováno v:
Journal of Agrometeorology, Vol 8, Iss 1 (2006)
Externí odkaz:
https://doaj.org/article/17a6bf8e025546e4b7dd73e247c41713
Autor:
null KARUNESH K. SHUKLA, null AJANTA BIRAH, null RAHUL NIGAM, null A. K. KANOJIA, null MUKESH KM KHOKHAR, null B. K. BHATTACHARYA, null SUBHASH CHANDER
Publikováno v:
Journal of Agrometeorology. 25:274-279
Recent development in remote sensing technology using hyperspectral reflectance or spectroscopic data was enabled the rapid and ongoing progression of monitoring, mapping, and surveillance/detection of insects tools for better crop management. This s