R
Ranjay Shrestha
Researcher at Goddard Space Flight Center
Publications - 26
Citations - 1046
Ranjay Shrestha is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Flood myth & Population. The author has an hindex of 13, co-authored 24 publications receiving 578 citations. Previous affiliations of Ranjay Shrestha include University of Idaho & George Mason University.
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Journal ArticleDOI
Remote sensing of night lights: A review and an outlook for the future
Noam Levin,Noam Levin,Christopher C. M. Kyba,Christopher C. M. Kyba,Qingling Zhang,Alejandro Sánchez de Miguel,Alejandro Sánchez de Miguel,Alejandro Sánchez de Miguel,Miguel O. Román,Xi Li,Boris A. Portnov,Andrew Molthan,Andreas Jechow,Andreas Jechow,Steven D. Miller,Zhuosen Wang,Zhuosen Wang,Ranjay Shrestha,Christopher D. Elvidge,Christopher D. Elvidge +19 more
TL;DR: In this article, the authors outline the historical development of night-time optical sensors up to the current state-of-the-art sensors, highlight various applications of night light data, discuss the special challenges associated with remote sensing of night lights with a focus on the limitations of current sensors, and provide an outlook for the future of remote sensing.
Journal ArticleDOI
Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria.
Miguel O. Román,Eleanor C. Stokes,Eleanor C. Stokes,Ranjay Shrestha,Zhuosen Wang,Zhuosen Wang,Lori Schultz,Lori Schultz,Edil A. Sepúlveda Carlo,Qingsong Sun,Jordan R. Bell,Jordan R. Bell,Andrew Molthan,Virginia L. Kalb,Chuanyi Ji,Karen C. Seto,Shanna N. McClain,Markus Enenkel +17 more
TL;DR: The approach developed in this study demonstrates the potential of satellite-based estimates of power recovery to improve the real-time monitoring of disaster impacts, globally, at a spatial resolution that is actionable for the disaster response community.
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Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer
TL;DR: In this paper, the authors used the MODIS weekly normalized difference vegetation index (NDVI) product to detect and further quantify flood damages on corn within the major corn producing states in the Midwest region of the US.
Journal ArticleDOI
Aerosol properties at a midlatitude Northern Hemisphere continental site
Sotiria Koloutsou-Vakakis,Christian M. Carrico,Christian M. Carrico,Pinar Kus,Mark J. Rood,Zhen Li,Ranjay Shrestha,John A. Ogren,Judith C. Chow,John G. Watson +9 more
TL;DR: In this paper, chemical, physical, and optical properties of ambient aerosol particles were obtained at Bondville, Illinois, and the results from measurements describe the physical and chemical characteristics of the aerosol and the dependence of light scattering and backscattering on wavelength of light λ, controlled relative humidity RH, and aerosol particle chemical composition.
Journal ArticleDOI
Modeling the accessible conformations of the intrinsically unstructured transactivation domain of p53
TL;DR: Gyration radii measurements show that the p53 transactivation domain (p53Tad) is statistically predominantly in a partially collapsed state that is unlike the open structure that is found for p53TAD bound to either the E3 ubiquitin ligase, MDM2, or the 70 kDa subunit of replication protein A, RPA70.