Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Narendra Das"'
Our study focuses on determining the presence of abnormal returns for physical momentum portfolios in the context of the Indian market. The physical momentum portfolios, comprising stocks from the NSE 500, are constructed for the daily, weekly, month
Externí odkaz:
http://arxiv.org/abs/2302.13245
Autor:
Arunav Nanda, Narendra Das, Gurjeet Singh, Rajat Bindlish, Konstantinos M. Andreadis, Susantha Jayasinghe
Publikováno v:
Agricultural Water Management, Vol 300, Iss , Pp 108918- (2024)
Estimation of accurate soil physical and hydraulic properties are of prime importance for the management of water resources in agriculture-dominant regions. This study introduces a simplified framework for estimating soil physical and hydraulic prope
Externí odkaz:
https://doaj.org/article/71c2edeb560c47daabf3853d6e944391
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 852 (2024)
Drought can have significant impacts on forests, with long periods of water scarcity leading to water stress in trees and possible damages to their eco-physiological functions. Satellite-based remote sensing offers a valuable tool for monitoring and
Externí odkaz:
https://doaj.org/article/a59f2f069cd84956b9f11dcc9c0139fe
Autor:
Gurjeet Singh, Narendra Das, Rabindra Panda, Binayak Mohanty, Dara Entekhabi, Bimal Bhattacharya
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10644-10664 (2021)
National Aeronautics and Space Administration's soil moisture active–passive (SMAP) mission potential to produce high-resolution soil moisture suffered adversely due to its L-band synthetic-aperture radar (SAR) failure. Other satellite-based L-/C-b
Externí odkaz:
https://doaj.org/article/465a46df6d3346239520afc4b5c0dd35
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10733-10747 (2021)
Irrigation is not well represented in land surface, hydrological, and climate models. One way to account for irrigation is by assimilating satellite soil moisture data that contains irrigation signal with land surface models. In this study, the irrig
Externí odkaz:
https://doaj.org/article/771d8866172f46a2bb6cec166f39f192
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Autor:
Konstantinos M Andreadis, Narendra Das, Dimitrios Stampoulis, Amor Ines, Joshua B Fisher, Stephanie Granger, Jessie Kawata, Eunjin Han, Ali Behrangi
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176506 (2017)
The Regional Hydrologic Extremes Assessment System (RHEAS) is a prototype software framework for hydrologic modeling and data assimilation that automates the deployment of water resources nowcasting and forecasting applications. A spatially-enabled d
Externí odkaz:
https://doaj.org/article/827325764dcd4545a40a40bf415ac2e9