Conference Agenda

Overview and details of the sessions and sub-session of this conference. Please select a date or session to show only sub-sessions at that day or location. Please select a single sub-session for detailed view (with abstracts and downloads if available).

Session Overview

Session

B3-ID32405: Coastal Dynamics from X-temp Data

Time:

Wednesday, 28/Jun/2017:

2:00pm - 3:30pm

Workshop: OCEANS & COASTAL ZONES
Location: Room 102

Presentations

Oral presentation

China’s geostationary optical satellite GF-4: initial evaluation, processing and ocean application

Tingwei Cui¹, Shubha Sathyendranath², Yanfang Xiao¹, Stefan Simis³, Rongjie Liu¹, Jie Zhang¹

¹the first institute of oceangraphy, FOA, China; ²Plymouth Marine Laboratory, United Kingdom; ³Finnish Environment Institute SYKE, Finland

China successfully launched the geostationary orbiting optical satellite GF-4 on December 29^th, 2015. The satellite can image the specific location of interest many times during the daytime with 50m (400m) spatial resolution in the visible (infrared) bands. Based on the GF-4 data, the following researches were performed. (1) The signal-to-noise ratio and georeference accuracy of GF-4 images was evaluated. (2) The vicarious radiometric calibration of GF-4 was performed with the concurrent GOCI data, and the atmospheric correction of GF-4 was further carried out. (3) The diurnal variability of the drifting velocity of the floating macro-algal bloom (green tide) in the Yellow Sea was analyzed with the GF-4 images.

Poster

Collaborative Monitoring Green Tide By MODIS And Landsat TM/ETM+ Images

Changying Wang¹, Jialan Chu², Yi Sui¹

¹Qingdao University, Shandong People's Republic of China,; ²National Marine Environmental Monitoring Center,Dalian, China

Every satellite has its own revisited period, so it is impossible to monitor a whole process of green tide bloom using only one kind of data source acquired from one satellite. The requirement of monitoring green macroalgae collaboratively by multi satellites instruments has been put on the table. In order to make green macroalgae monitoring by MODIS (250-m resolution) and Landsat TM/ETM+ (30-m resolution) images possible, the detection results in the same region and the same time from the two data sources are compared, and the relationship between them is analyzed. It is found that the detection result from MODIS image is over 5 times of the one from Landsat TM/ETM+ image. According to this statistic relationship, a transformation-detection method of green macroalgae from 250m resolution MODIS image to 30m resolution results is presented. The experimental results show that the proposed approach can provide an effective method to monitor green macroalgae collaboratively by MODIS and Landsat TM/ETM+ images.

Poster

Sentinel-3A OLCI: initial evaluation and ocean application

Tingwei Cui¹, Shubha Sathyendranath², Yanfang Xiao¹, Stefan Simis³, Rongjie Liu¹, Jie Zhang¹

¹the first institute of oceangraphy, FOA, China, People's Republic of; ²Plymouth Marine Laboratory, United Kingdom; ³Finnish Environment Institute SYKE, Finland

On February 16th, 2016, ESA successfully launched the Sentinel-3A satellite. Among the four Earth-observing instruments, the OLCI (Ocean and Land Colour Instrument) is designed to continue the ENVISAT MERIS capability of ocean color monitoring.

Based on the OLCI L1 data, the following researches were performed. (1) The TOA reflectance, signal-to-noise ratio and georeference accuracy of OLCI images were evaluated and compared with those of MODIS and VIIRS. (2) The floating macro-algal bloom (green tide) in the Yellow Sea was detected using the OLCI images.