Paper
3 November 2010 Analysis on the seasonal variations of microphytobenthos distribution in a tidal flat using remotely sensed data
Jong-Kuk Choi, Joo-Hyung Ryu, JinAh Eom, Jae Hoon Noh
Author Affiliations +
Proceedings Volume 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment; 78580Q (2010) https://doi.org/10.1117/12.873044
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of
Abstract
The applicability of remotely sensed data to the detection and monitoring of the seasonal variation of microphytobenthos distribution in a tidal flat was examined for the Geunso-bay tidal flat in the west coast of Korean peninsula. The biomass of diatom within the surface sediments was estimated through field campaigns and the seasonal change in the spectral reflectance of the remotely sensed data was investigated. Field spectrum data were acquired monthly at the fixed locations for monitoring the microphytobenthos blooming and comparing with the spectral reflectance of satellite images. Sediments facies was also analyzed along with the spectral reflectance based on the in situ data, and the spectral characteristics of the area where microphytobenthos occupied was examined. A medium to low spatial resolution of satellite image was not suitable for the detection of the surface sediments changes in the study area due to its ambiguity of sediments facies boundary, but the seasonal changes of benthic distribution could be obviously detected. From this, we suggest that the study on the distribution of surface sedimentary facies and detailed ecological mapping in a tidal flat based upon the remote sensing images should consider the seasonal variations of microphytobenthos distribution which would be included in the spectral characteristics of the satellite images.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jong-Kuk Choi, Joo-Hyung Ryu, JinAh Eom, and Jae Hoon Noh "Analysis on the seasonal variations of microphytobenthos distribution in a tidal flat using remotely sensed data", Proc. SPIE 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, 78580Q (3 November 2010); https://doi.org/10.1117/12.873044
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Cited by 2 scholarly publications.
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KEYWORDS
Earth observing sensors

Reflectivity

Satellites

Satellite imaging

Biological research

Remote sensing

Spatial resolution

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