Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files


Autoria(s): Mazur, Aleksandra Katarzyna; Wåhlin, Anna; Krezel, Adam
Cobertura

LATITUDE: -71.550000 * LONGITUDE: -109.370000

Data(s)

13/01/2016

Resumo

ENVISAT ASAR WSM images with pixel size 150 × 150 m, acquired in different meteorological, oceanographic and sea ice conditions were used to determined icebergs in the Amundsen Sea (Antarctica). An object-based method for automatic iceberg detection from SAR data has been developed and applied. The object identification is based on spectral and spatial parameters on 5 scale levels, and was verified with manual classification in four polygon areas, chosen to represent varying environmental conditions. The algorithm works comparatively well in freezing temperatures and strong wind conditions, prevailing in the Amundsen Sea during the year. The detection rate was 96% which corresponds to 94% of the area (counting icebergs larger than 0.03 km**2), for all seasons. The presented algorithm tends to generate errors in the form of false alarms, mainly caused by the presence of ice floes, rather than misses. This affects the reliability since false alarms were manually corrected post analysis.

Formato

application/zip, 18.0 MBytes

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.856847

doi:10.1594/PANGAEA.856847

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Mazur, Aleksandra Katarzyna; Wåhlin, Anna; Krezel, Adam (2016): An object-based SAR image iceberg detection algorithm, part I: Method and assessment of the accuracy. Remote Sensing of Environment, submitted

Palavras-Chave #Amundsen_Sea
Tipo

Dataset