TY  - GEN
AB  - This volume presents full paper contributions from the International Conference of European Spatial Data for Coastal and Marine Remote Sensing (EUCOMARE) 2022, with the support of the ERASMUS+ Programme of the European Union, held in Saint Malo, France. EUCOMARE aims to promote academic and technical exchange on coastal related studies including coastal environmental and socio-economic issues, with the use of European remotely sensed data. The book is an excellent resource for scientists, engineers, and programme managers eager to learn about the recent developments and achievements in the field of remote sensing applications on marine and coastal areas. Readers will learn about recent advances in sensors' radiometric, spatial, temporal and spectral resolution, as well as new data processing approaches in remote sensing for monitoring and mapping the various characteristics of marine, coastal and aquatic systems.
AU  - Niculescu, Simona.
CN  - QH541.5.C65
CY  - Cham :
DA  - 2023.
DO  - 10.1007/978-3-031-16213-8
DO  - doi
ID  - 1453439
KW  - Coastal ecology
KW  - Marine ecology
KW  - Geospatial data
KW  - Coastal zone management
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16213-8
N1  - 3.3.2 Image Segmentation
N2  - This volume presents full paper contributions from the International Conference of European Spatial Data for Coastal and Marine Remote Sensing (EUCOMARE) 2022, with the support of the ERASMUS+ Programme of the European Union, held in Saint Malo, France. EUCOMARE aims to promote academic and technical exchange on coastal related studies including coastal environmental and socio-economic issues, with the use of European remotely sensed data. The book is an excellent resource for scientists, engineers, and programme managers eager to learn about the recent developments and achievements in the field of remote sensing applications on marine and coastal areas. Readers will learn about recent advances in sensors' radiometric, spatial, temporal and spectral resolution, as well as new data processing approaches in remote sensing for monitoring and mapping the various characteristics of marine, coastal and aquatic systems.
PB  - Springer,
PP  - Cham :
PY  - 2023.
SN  - 9783031162138
SN  - 3031162137
T1  - European spatial data for coastal and marine remote sensing :proceedings of International Conference EUCOMARE 2022-Saint Malo, France /
TI  - European spatial data for coastal and marine remote sensing :proceedings of International Conference EUCOMARE 2022-Saint Malo, France /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16213-8
ER  -