Remote sensing precipitation using artificial neural networks and machine learning methods
2019 Spring Cyberseminar Series
- Kuolin Hsu / University of California, Irvine
Satellite remote sensing techniques provide a unique way to monitor precipitation at a global scale, especially for regions where ground measurements are limited. Recent development in computational Intelligence has shown excellent progress in learning from a large amount of in situ and remote sensing data to improve the quality of precipitation measurement. In this presentation, integrate multi-satellite sensors for precipitation estimation using deep neural networks (DNNs) and recent machine learning methods developed at the Center for Hydrometeorology (CHRS) will be presented. Case studies will be demonstrated for monitoring of precipitation from extreme storm events.
2019 Spring Cyberseminar Series: Recent advances in big data machine learning in Hydrology
Hosted by Chaopeng Shen, Pennsylvania State University
Recently big data machine learning has led to substantial changes across many areas of study. In Hydrology, the introduction of big data and machine learning methods have substantially improved our ability to address existing challenges and encouraged novel perspectives and new applications. These advances present new opportunities methods that aid scientific discovery, data discovery, and predictive modeling. This series cover new techniques and findings that have emerged in Hydrology during the previous year, with a focus on catchment and land surface hydrology.
Consider attending the 2019 CUAHSI Hydroinformatics Conference on Hydroinformatics for scientific knowledge, informed policy, and effective response!
July 29 - 31, 2019 at Brigham Young University in Provo, UT
The CUAHSI Conference on Hydroinformatics is uniquely focused on data science and technology for water resources and hydrology. This conference will include keynote speakers and oral, poster, and hands-on sessions. Start planning now to be a part of this important meeting.
We are pleased to announce the following Keynote Speakers:
- Ni-Bin Chang, University of Central Florida
- Tyler Erickson, Google Earth Engine and Google Earth Outreach
- Sara Larsen, Western States Water Council Water Data Exchange
- Manish Parashar, National Science Foundation
- Gene Shawcroft, Central Utah Water Conservancy District
- Chaopeng Shen, Pennsylvania State University
Register by June 15 (Early Bird) | July 15 (Regular).
A limited number of $750 travel grants are available to students, post-docs, and early career faculty affiliated with U.S. universities.
For more information, including how to register, click here.