Multiscale Techniques for the Detection of Precipitation Using Thermal IR Satellite Images

Abstract : It is thought that satellite thermal infrared (IR) images can aid to the detection of precipitation, an interesting possibility due to the existence of geostationary satellites with thermal IR sensors which would enable a good spatial and tem- poral tracking of rain and storms. In this letter, we explore the application of multiscale/multifractal techniques in the design of new methods for the assessment and tracking of pluviometry. We first identify the main streamlines by a singularity analysis of the wavelet projections of the IR record. From the streamlines, we derive a proxy scalar image that represents the result of pure horizontal advection. From the comparison of original and proxy we localize the places at which horizontal advection fails, which we identify with convection places. We illustrate our methodology with thermal IR images from Metosat acquired during heavy tropical rainfall, and compare the results with some data from the Tropical Rainfall Measuring Mission satellite.
Complete list of metadatas

https://hal.inria.fr/hal-00948394
Contributor : H. Yahia <>
Submitted on : Tuesday, February 18, 2014 - 11:42:56 AM
Last modification on : Wednesday, November 14, 2018 - 1:54:07 PM
Long-term archiving on: Sunday, May 18, 2014 - 11:46:42 AM

File

DOC180214-18022014122457.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Antonio Turiel, Jacopo Grazzini, Hussein Yahia. Multiscale Techniques for the Detection of Precipitation Using Thermal IR Satellite Images. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2005, 2 (4), pp.447-450. ⟨10.1109/LGRS.2005.852712⟩. ⟨hal-00948394⟩

Share

Metrics

Record views

409

Files downloads

171