Authors:
Amal Ibnelhobyb
1
;
Ayoub Mouak
1
;
Amina Radgui
2
;
Ahmed Tamtaoui
1
;
Ahmed Er-Raji
3
;
Driss El Hadani
3
;
Mohamed Merdas
3
and
Faouzi Mohamed Smiej
3
Affiliations:
1
STRS Lab, Institut National des Postes et Télécummunication-INPT, Morocco
;
2
National Institute of Posts and Telecommunications Rabat, Morocco
;
3
Centre Royal de Télédetection Spatiale-CRTS, Morocco
Keyword(s):
Spatiotemporal fusion, Landsat, MODIS, NDVI, STARFM, ESTARFM, WSAD-FM, WESTARFM.
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 transfor
m 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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