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Object-Based Burned Area Mapping Using Sentinel-2 Imagery a..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Georgopoulos, Nikos
;
Stavrakoudis, Dimitris
;
Gitas, Ioannis Z.
- p. 9980-9983 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8900134
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Object-Based Burned Area Mapping Using Sentinel-2 Imagery and Supervised Learning Guided by Empirical Rules</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8900134&Exemplar=1&LAN=DE A1 Georgopoulos, Nikos A1 Stavrakoudis, Dimitris A1 Gitas, Ioannis Z. YR 2019 SN 2153-7003 K1 Training K1 Image segmentation K1 Feature extraction K1 Forestry K1 Remote sensing K1 Fires K1 Labeling K1 Automated burned area mapping K1 object-based image analysis (OBIA) K1 Sentinel-2 K1 burned area difference indices SP 9980 OP 9983 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8900134 DO https://doi.org/10.1109/IGARSS.2019.8900134 SF ELIB - SuUB Bremen
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