Title :
A new architecture for Remote-Sensing Environmental Monitoring System REMS: design and implementation
Author :
Xingtang, Hu ; Bing, Zhang ; Xia, Zhang ; Qingxi, Tong ; Lanfen, Zheng ; Wang Qiao ; Jianlin, Yu
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing
Abstract :
A new architecture for REMS (Remote-sensing Environmental Monitoring System V1.0) is introduced in this paper. REMS is the first integrated system in China developed to meet the multi-resource, multi-temporal and multi-thematic data processing, analyzing and products distributing, especially to process and monitor inland water resource pollution. The most important components of REMS are presented in this paper including tools for multi-resource data input/output, preprocessing, data visualization and mapping, environment information extraction, conventional image analysis, advanced tools for eco-environment modeling, and integrated interface to connect with general spatial and spectral database and water quality monitoring database. REMS provide professional ability to extract the major characters of water resource such as Chlorophyll content, Total Suspended Matter (TSM), Yellow Substance or CDOM etc. In order to retrieve and predict the blue algae distribution and water quality evolvement, a group of statistical algorithms are also realized to analyses the result and at the same time data assurance measures are also given respectively. Finally, we select the Taihu Lake, JiangShu Province, South China, as the representative research area and some field applications constructed based on REMS are discussed
Keywords :
environmental management; geophysics computing; hydrological techniques; lakes; remote sensing; visual databases; water pollution; water resources; CDOM; Chlorophyll content; JiangShu Province; REMS; Remote-sensing Environmental Monitoring System; South China; TSM; Taihu Lake; Total Suspended Matter; Yellow Substance; blue algae distribution; conventional image analysis; data assurance measures; data mapping; data visualization; eco-environment modeling; environment information extraction; inland water resource pollution monitoring; multiresource data processing; multitemporal data processing; multithematic data processing; spatial database; spectral database; statistical algorithms; water quality evolvement; water quality monitoring database; Data analysis; Data mining; Data preprocessing; Data processing; Image databases; Pollution; Remote monitoring; Spatial databases; Visual databases; Water resources;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370775