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• Modeling and Accuracy Assessment of Determining the Coastline Course Using Geodetic, Photogrammetric and Satellite Measurement Methods: Case Study in Gdynia Beach in Poland

  Publikacja

  • F. G. Figliomeni
  • M. Specht
  • C. Parente
  • C. Specht
  • A. Stateczny

  - Electronics - Rok 2024

  The coastal environment represents a resource from both a natural and economic point of view, but it is subject to continuous transformations due to climate change, human activities, and natural risks. Remote sensing techniques have enormous potential in monitoring coastal areas. However, one of the main tasks is accurately identifying the boundary between waterbodies such as oceans, seas, lakes or rivers, and the land surface....

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• Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 194

  Dane Badawcze

  open access

  • K. Bradtke

  - seria: Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data

  The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm.  SST was calculated only for granules (185 x 180 km) from satellite path number 194, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.

• Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 192

  Dane Badawcze

  open access

  • K. Bradtke

  - seria: Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data

  The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm.  SST was calculated only for granules (185 x 180 km) from satellite path number 192, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.

• Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 191

  Dane Badawcze

  open access

  • K. Bradtke

  - seria: Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data

  The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm.  SST was calculated only for granules (185 x 180 km) from satellite path number 191, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.

• Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 193

  Dane Badawcze

  open access

  • K. Bradtke

  - seria: Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data

  The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm.  SST was calculated only for granules (185 x 180 km) from satellite path number 193, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.

• Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 190

  Dane Badawcze

  open access

  • K. Bradtke

  - seria: Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data

  The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm.  SST was calculated only for granules (185 x 180 km) from satellite path number 190, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.