Abstract: This special issue contains a selection of papers presented at the workshop on Ocean Color Remote Sensing of Case 2 Waters in China held in Guangzhou during September, 2012. The workshop has been regularly held every year since 2001 in different parts of China; this workshop was financially supported by the State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences and Hach Company.The meeting was designed to focus on the application of remote sensing for determining ocean color in coastal and other optically-complex waters of China, with a goal of promoting cooperation and collaboration between research scientists on ocean optics/remote sensing to enhance understanding of the coastal waters and lakes.The following sessions were included: recent progress in ocean color remote sensingocean optical properties; construction of ocean color algorithmsocean optics equipment design and manufactureatmospheric correction of ocean color satellite data; application of remote sensing on ocean scienceArticles contained in this special issue cover a broad range of topics and issues in satellite observation of the Case 2 waters, including the algorithms for retrieval of chlorophyll, chromophoric dissolved organic matter (CDOM), suspended sediment, sea surface temperature, sea surface height and inherent optical properties in coastal waters or lakes. In addition, some articles deal with the application of ocean color remote sensing, such as chlorophyll and CDOM variation and typhoon induced suspended sediment variation.Five of the articles focus on the development of algorithms/models to estimate the properties of coastal waters or lakes from satellite. Among them, three articles are on suspended sediment algorithms such as that by Li et al., who developed an algorithm to estimate suspended sediment in Lake Taihu from HJ-1 CCD sensors; Zhao et al. and Ye et al. attempted to map the distribution of suspended sediment influenced by storm surges and typhoons from satellite, respectively. Li et al. developed a framework for observing system simulation experiments (OSSEs) to assimilate two data sets of chlorophyll a retrieved from two satellites, including HJ-1 and moderate resolution imaging spectroradiometer (MODIS), separately. Huang et al. used a semi-analytical model to derive inherent optical properties in Taihu Lake, China.Three of the articles used satellite data to analyze ecosystem changes in specific events: Fu et al. found phytoplankton blooms off the Yangtze River Estuary in the spring of 2007 from MODIS and sea-viewing wide field-of-view sensor (SeaWiFS); Wang and Tang observed sea surface temperature increase during Ulva prolifera blooms from MODIS; Lu et al. used ENVISAT RA-2 SSH (sea surface height) to validate the flow prediction model and to study the impact of the Hong Kong-Zhuhai-Macau Bridge (HKZMB) on the tidal flow in the Pearl River Estuary.The remaining contributions explored the temporal variability of ocean color using satellite data: Liu and Chen (a) validated CDOM algorithm from medium resolution imaging spectrometer (MERIS) using in situ data, and then analyzed CDOM variation using MERIS in the Pearl River Estuary from 2003 to 2009 and determined its influence factors in their study area. Liu and Chen (b) revealed the seasonal variations of chlorophyll and its dependency on climate variability using a season-reliant empirical orthogonal function (S-EOF) method in the South China Sea. Tang et al. studied chlorophyll a, seasonal as well as intra-seasonal variability, by harmonic analysis and continuous wavelet transform.We would like to thank the Page by Page (PbP) editorial service of the AEHMS for technical preparation of the manuscripts in accordance with the instructions to authors for the journal. Also we would like to thank Dr. M. Munawar, Chief Editor for the initiation and organization of this special issue. Thanks are also due to AEHMS staff namely, Robin Rozon (coordination), Susan Blunt (technical editing), Jennifer Lorimer and Lisa Elder for their assistance in various aspects of the publication of this special issue. This issue highlights some unique techniques and models being used for remote sensing. We hope this will be a significant contribution in improving our understanding of the health of Chinese aquatic ecosystems.
Publication Year: 2014
Publication Date: 2014-07-03
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot