Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine-Reference-Cited by-同舟云学术

Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Paluba Daniel¹,Papale Lorenzo Giuliano²,Perivolioti Triantafyllia-Maria³,Štych Přemysl¹,Laštovička Josef¹,Kalaitzis Panagiotis⁴,Karadimou Georgia³,Papageorgiou Elena³,Mouratidis Antonios³

Affiliation:

1. Charles University,Faculty of Science,Department of Applied Geoinformatics and Cartography

2. Tor Vergata University of Rome,Department of Civil and Computer Science Engineering

3. Aristotle University of Thessaloniki,School of Geology, Faculty of Sciences

4. University of the Aegean,Department of Geography

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283130.pdf?arnumber=10283130

Reference18 articles.

1. GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06;huffman;Goddard Earth Sciences Data and Information Services Center,2019

2. High-resolution mapping of global surface water and its long-term changes;pekel;Nature,2016

3. Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest

4. On the relationship between polarimetric parameters

5. Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning

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1. Tracking Burned Area Progression in an Unsupervised Manner Using Sentinel-1 SAR Data in Google Earth Engine;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024