A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis-Reference-Cited by-同舟云学术

A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis

Published:2007-01 Issue:1 Volume:33 Page:20-30
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Yang Yubin,Lin Hui,Guo Zhongyang,Jiang Jixi

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference13 articles.

1. Automatic tracking and characterization of African convective systems on meteosat pictures;Arnaud;Journal of Applied Meteorology,1992

2. Classification and Regression Trees;Breiman,1984

3. Computer processing of line-drawing image;Freeman;Computing Surveys,1974

4. Holder, L.B., 1995. Intermediate decision trees. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, Montreal, Que., Canada, pp. 1056–1062.

5. Mesoscale organization of springtime rainstorms in Oklahoma;Houze;Monthly Weather Review,1990

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HOW MACHINE LEARNING ALGORITHMS ARE USED IN METEOROLOGICAL DATA CLASSIFICATION: A COMPARATIVE APPROACH BETWEEN DT, LMT, M5-MT, GRADIENT BOOSTING AND GWLM-NARX MODELS;Applied Computer Science;2022-10-01

2. Extreme precipitation prediction based on neural network model – A case study for southeastern Brazil;Journal of Hydrology;2022-03

3. A Review of Impacts of Climate Change on Slope Stability;Lecture Notes in Civil Engineering;2021-11-19

4. Application of Machine Learning Techniques for Clustering of Rainfall Time Series Over Ganges River Basin;The Ganga River Basin: A Hydrometeorological Approach;2021

5. Satellite data: big data extraction and analysis;Artificial Intelligence in Data Mining;2021