New Cloud Detection Index (CDI) for Forecasting the Extreme Rain Events

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"New Cloud Detection Index (CDI) for Forecasting the Extreme Rain Events"
written by Niket Shastri, Kamlesh Kamlesh Pathak,
published by Advances in Remote Sensing, Vol.8 No.1, 2019

has been cited by the following article(s):

[1]	Prediction of extreme rain in Kototabang using Himawari-8 satellite based on differences in cloud brightness temperature
	Remote Sensing …, 2024

[2]	GCDB-UNet: A novel robust cloud detection approach for remote sensing images
	Knowledge-Based Systems, 2022

[3]	Cumulonimbus cloud prediction based on machine learning approach using radiosonde data in Surabaya, Indonesia
	2021

[4]	A comparison of stability indices and precipitable water derived from radiosonde data collected at two nearby locations and weather radar data in Brazil
	2020

[1]	Prediction of extreme rain in Kototabang using Himawari-8 satellite based on differences in cloud brightness temperature Remote Sensing Applications: Society and Environment, 2024 DOI:10.1016/j.rsase.2023.101102

[2]	GCDB-UNet: A novel robust cloud detection approach for remote sensing images Knowledge-Based Systems, 2022 DOI:10.1016/j.knosys.2021.107890

[3]	GCDB-UNet: A novel robust cloud detection approach for remote sensing images Knowledge-Based Systems, 2022 DOI:10.1016/j.knosys.2021.107890

[4]	Cumulonimbus cloud prediction based on machine learning approach using radiosonde data in Surabaya, Indonesia IOP Conference Series: Earth and Environmental Science, 2021 DOI:10.1088/1755-1315/724/1/012047

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