Zobrazeno 1 - 10
of 2 803
pro vyhledávání: '"Ramakrishna R"'
Autor:
Taejin Park, Murali K. Gumma, Weile Wang, Pranay Panjala, Sunil K. Dubey, Ramakrishna R. Nemani
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/94ce259fccbc416481e38b30ea309298
Autor:
Taejin Park, Murali K. Gumma, Weile Wang, Pranay Panjala, Sunil K. Dubey, Ramakrishna R. Nemani
Publikováno v:
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-11 (2023)
Abstract Satellite data show the Earth has been greening and identify croplands in India as one of the most prominent greening hotspots. Though India’s agriculture has been dependent on irrigation enhancement to reduce crop water stress and increas
Externí odkaz:
https://doaj.org/article/50666e6a86f247da926239888f1e0553
Autor:
Taejin Park, Hirofumi Hashimoto, Weile Wang, Bridget Thrasher, Andrew R. Michaelis, Tsengdar Lee, Ian G. Brosnan, Ramakrishna R. Nemani
Publikováno v:
Earth's Future, Vol 11, Iss 5, Pp n/a-n/a (2023)
Abstract Constraining an increase in global mean temperature below 2°C compared to pre‐industrial levels is critical to limiting dangerous and cascading impacts of anthropogenic climate change. Understanding future climatic changes and their spati
Externí odkaz:
https://doaj.org/article/1b926828e1f94f2d958dabceb695d18d
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundExon 20 (ex20) in-frame insertions or duplications (ins/dup) in epidermal growth factor receptor (EGFR) and its analog erb-b2 receptor tyrosine kinase 2 (ERBB2) are each detected in 1.5% of non–small cell lung cancer (NSCLC). Unlike EGFR
Externí odkaz:
https://doaj.org/article/dcaa01430e4a4de0b6ad039da4f3b63e
Publikováno v:
IEEE Access, Vol 10, Pp 89221-89231 (2022)
Climate change is making heat waves more frequent, long-lasting, and severe. While multiple satellite types provide data to monitor surface temperature, geostationary (GEO) sensors provide near-continuous, continental-scale observations which can bet
Externí odkaz:
https://doaj.org/article/385fc293b1064929be2ef3dcedae9d01
Autor:
Yepei Chen, Kaimin Sun, Wenzhuo Li, Chi Chen, Pengfei Li, Ting Bai, Taejin Park, Weile Wang, Ramakrishna R. Nemani, Ranga B. Myneni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6937-6950 (2021)
The latest Geostationary (GEO) Operational Environmental Satellite-16 (GOES-16) equipped with Advanced Baseline Imager (ABI) has comparable spectral and spatial resolution as low earth orbiting (LEO) sensors [i.e., the Moderate Resolution Imaging Spe
Externí odkaz:
https://doaj.org/article/23304973e3874e61bb97aadb603f2032
Autor:
Hirofumi Hashimoto, Weile Wang, Jennifer L. Dungan, Shuang Li, Andrew R. Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ranga B. Myneni, Ramakrishna R. Nemani
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Cloud cover and scarcity of ground-based validation hinder remote sensing of forest dynamics in the Amazon basin. Here, the authors analyse imagery from a high-frequency geostationary satellite sensor to study monthly NDVI patterns in the Amazon fore
Externí odkaz:
https://doaj.org/article/23a00371dcb94f4197d5aecbbb118679
Autor:
Ramakrishna R VSM, Gautam JP
Publikováno v:
E3S Web of Conferences, Vol 184, p 01039 (2020)
Automobile industry has always been in look out for advanced materials that would account for greater crash resistance, high fatigue strength, optimum ductility and longer service life despite heavy mechanical loads applied on these engine components
Externí odkaz:
https://doaj.org/article/35e448faa03c4ed88d7b3a9125a6fac7
Autor:
Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 316 (2020)
Satellite remote sensing plays a pivotal role in characterizing hydrometeorological components including cloud types and their associated precipitation. The Cloud Profiling Radar (CPR) on the Polar Orbiting CloudSat satellite has provided a unique da
Externí odkaz:
https://doaj.org/article/d260df92e4634af592a4b879a586e514
Autor:
Edward Boyda, Saikat Basu, Sangram Ganguly, Andrew Michaelis, Supratik Mukhopadhyay, Ramakrishna R Nemani
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0172505 (2017)
Quantum annealing is an experimental and potentially breakthrough computational technology for handling hard optimization problems, including problems of computer vision. We present a case study in training a production-scale classifier of tree cover
Externí odkaz:
https://doaj.org/article/fa23cdbe1f0a4a8da38e361a96be169b