Remote sensing technology continues to play a significant role in the understanding of our environment and the
investigation of the Earth. Ocean color is the water hue due to the presence of tiny plants containing the pigment
chlorophyll, sediments, and colored dissolved organic material and so can provide valuable information on coastal
ecosystems. We propose to make the browsing of Ocean Color data more efficient for users by using image processing
techniques to extract useful information which can be accessible through browser searching. Image processing is applied
to chlorophyll and sea surface temperature images. The automatic image processing of the visual level 1 and level 2 data
allow us to investigate the occurrence of algal blooms. Images with colors in a certain range (red, orange etc.) are used to
address possible algal blooms and allow us to examine the seasonal variation of algal blooms in Europe (around Ireland
and in the Baltic Sea). Yearly seasonal variation of algal blooms in Europe based on image processing for smarter browsing of Ocean Color are presented.
Changes in sea surface temperature can be used as an indicator of water quality. In-situ sensors are being used for
continuous autonomous monitoring. However these sensors have limited spatial resolution as they are in effect single
point sensors. Satellite remote sensing can be used to provide better spatial coverage at good temporal scales. However
in-situ sensors have a richer temporal scale for a particular point of interest. Work carried out in Galway Bay has
combined data from multiple satellite sources and in-situ sensors and investigated the benefits and drawbacks of using
multiple sensing modalities for monitoring a marine location.
We outline a system for monitoring methane over the internet using a simple wireless sensor network. The system was developed for use at a capped landfill site which contains municipal solid waste. The sensor nodes use commercially available metal oxide semiconductor gas sensors to monitor and allow for a near real-time monitoring of gas emissions. This system is intended to complement the work of personnel who have to physically take the measurement using hand-held infrared instrument. We also outline preliminary testing of this system.