New Wavelet Based Spatiotemporal Fusion Method

Amal Ibnelhobyb, Ayoub Mouak, Amina Radgui, Ahmed Tamtaoui, Ahmed Er-Raji, Driss El Hadani, Mohamed Merdas, Faouzi Mohamed Smiej

2016

Abstract

Satellite image sensors are able to give images at high temporal resolution as the MODIS sensor that gives an image every day but with low spatial resolution, or at high spatial resolution as the Landsat sensor that gives images at 30m but with a revisit cycle of 16 days. Thus, this sensors are not able to give images with both high spatial and high temporal resolution. This need has become more and more absolute for many applications. Therefore spatiotemporal fusion methods were proposed. By applying these methods on images from different sensors with different spatial and temporal resolution, we can take the advantage of the high spatial and high temporal resolution of these sensors. As a result we get an image with both high spatial and high temporal resolution. We introduce in this paper a new method, the Wavelet base Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (WESTARFM), which is an improvement of the ESTARFM method. It uses the principle of wavelet transform with the original ESTARFM method. We have applied our method to predict daily NDVI in a study site in an irrigated zone in the region of TADLA in MOROCCO. Results have been compared with other methods.

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Paper Citation


in Harvard Style

Ibnelhobyb A., Mouak A., Radgui A., Tamtaoui A., Er-Raji A., El Hadani D., Merdas M. and Smiej F. (2016). New Wavelet Based Spatiotemporal Fusion Method . In Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-200-4, pages 25-32. DOI: 10.5220/0006226800250032


in Bibtex Style

@conference{ictrs16,
author={Amal Ibnelhobyb and Ayoub Mouak and Amina Radgui and Ahmed Tamtaoui and Ahmed Er-Raji and Driss El Hadani and Mohamed Merdas and Faouzi Mohamed Smiej},
title={New Wavelet Based Spatiotemporal Fusion Method},
booktitle={Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},
year={2016},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006226800250032},
isbn={978-989-758-200-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - New Wavelet Based Spatiotemporal Fusion Method
SN - 978-989-758-200-4
AU - Ibnelhobyb A.
AU - Mouak A.
AU - Radgui A.
AU - Tamtaoui A.
AU - Er-Raji A.
AU - El Hadani D.
AU - Merdas M.
AU - Smiej F.
PY - 2016
SP - 25
EP - 32
DO - 10.5220/0006226800250032