HASARD - Revision history

Admin at 11:10, 10 March 2021

2021-03-10T11:10:10Z

2021-03-10T11:09:36Z

‎In a nutshell

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‎Workflow of the algorithm

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 ====<u>''Workflow of the algorithm''</u>====
 [[File:has_wf.jpg|centre|800px|border]]
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 '''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''
 ====<u>''References''</u>====

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 ====<u>''In a nutshell''</u>====
-  Algorithm 1 is based on a scientifically validated and patented technology enabling a systematic, automatic and high-accuracy monitoring of water bodies using Sentinel-1 data. The algorithm uses a highly innovative sequence of hierarchical image splitting, statistical modelling and region growing to delineate and classify areas that changed their flooding-related backscatter response between two image acquisitions from the same orbits.
+  '''HASARD''' is based on a '''scientifically validated and patented technology''' enabling a systematic, automatic and high-accuracy monitoring of water bodies using Sentinel-1 data. The algorithm uses a highly innovative '''sequence of hierarchical image splitting, statistical modelling and region growing''' to delineate and classify areas that changed their flooding-related backscatter response between two image acquisitions from the same orbits.
 '''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''
 ====<u>''References''</u>====

← Older revision		Revision as of 11:08, 10 March 2021
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	====<u>''Workflow of the algorithm''</u>====		====<u>''Workflow of the algorithm''</u>====
	[[File:has_wf.jpg\|centre\|800px\|border]]		[[File:has_wf.jpg\|centre\|800px\|border]]
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		+
		+
		+	====<u>''In a nutshell''</u>====
		+	Algorithm 1 is based on a scientifically validated and patented technology enabling a systematic, automatic and high-accuracy monitoring of water bodies using Sentinel-1 data. The algorithm uses a highly innovative sequence of hierarchical image splitting, statistical modelling and region growing to delineate and classify areas that changed their flooding-related backscatter response between two image acquisitions from the same orbits.

← Older revision		Revision as of 10:33, 10 March 2021
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	'''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''		'''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''
		+

	====<u>''References''</u>====		====<u>''References''</u>====

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 ====<u>''Workflow of the algorithm''</u>====
 '''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''
 ====<u>''References''</u>====

← Older revision		Revision as of 10:28, 10 March 2021
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		+	====<u>''References''</u>====
	<sup>[1]</sup> [https://ieeexplore.ieee.org/abstract/document/7548327 <u>Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., and Matgen P. (2016). Probabilistic flood mapping using Synthetic Aperture Radar data, IEEE Transactions on Geoscience and Remote Sensing, 54 (12), 6958-6969. </u> <br>]		<sup>[1]</sup> [https://ieeexplore.ieee.org/abstract/document/7548327 <u>Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., and Matgen P. (2016). Probabilistic flood mapping using Synthetic Aperture Radar data, IEEE Transactions on Geoscience and Remote Sensing, 54 (12), 6958-6969. </u> <br>]

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 Preliminary masking with the exclusion layer and the reference water extent layer is undertaken so that no probabilities are computed for those areas. <br>
 Probability map values range from 0 and 1.
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+<sup>[1]</sup> [https://ieeexplore.ieee.org/abstract/document/7548327 <u>Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., and Matgen P. (2016). Probabilistic flood mapping using Synthetic Aperture Radar data, IEEE Transactions on Geoscience and Remote Sensing, 54 (12), 6958-6969. </u> <br>]
-<sup>[2]</sup> Chini M., Hostache R., Giustarini L., Matgen P., A Hierarchical Split-Based Approach for parametric thresholding of SAR images: flood inundation as a test case, IEEE Transactions on Geoscience and Remote Sensing, 55 (12), 6975-6988, 2017.<br>
+<sup>[2]</sup> [https://ieeexplore.ieee.org/document/8017436 <u>Chini M., Hostache R., Giustarini L., Matgen P., A Hierarchical Split-Based Approach for parametric thresholding of SAR images: flood inundation as a test case, IEEE Transactions on Geoscience and Remote Sensing, 55 (12), 6975-6988, 2017.</u>]<br>
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← Older revision		Revision as of 14:39, 9 March 2021
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−	'''For further details the Reader is referred to the dedicated section of the Product Description Document ~~accessible via~~ https://www.gfm_pdd.org/Hasard'''	+	'''For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Hasard'''