Aquatic Environment Management

Aquatic ecosystems are diverse and complex environments that require comprehensive monitoring and assessment. Remote sensing, including cartography, sampling, surveying, phytoplankton assessment, and chlorophyll estimation, is a valuable tool for monitoring these ecosystems. Artificial intelligence, machine learning, and data fusion are increasingly being used to enhance the accuracy and efficiency of monitoring aquatic systems. Future Earth Observation space missions have the potential to provide unprecedented insights into aquatic ecosystem health and productivity.

Format: Hardback
Length: 222 pages
Publication date: 30 November 2023
Publisher: Taylor & Francis Ltd

Aquatic ecosystems are diverse and complex environments that encompass a wide range of water bodies, including wetlands, rivers, lakes, saline, and brackish waters. These ecosystems play a crucial role in supporting life, providing habitats for numerous species, and contributing to the overall health of the planet. In recent years, remote sensing has emerged as a powerful tool for monitoring and assessing aquatic ecosystems. This approach involves the use of satellite imagery, sensors, and other technologies to collect and analyze data from these ecosystems.

One of the key features of remote sensing in aquatic ecosystem monitoring is its ability to cover large areas in a relatively short period of time. This allows researchers and environmentalists to monitor changes in ecosystems over time and identify areas of concern or degradation. Remote sensing also provides valuable information on the composition and structure of aquatic ecosystems, including the presence of different species, vegetation cover, and water quality.

Traditional methods of monitoring aquatic ecosystems, such as cartography, sampling, surveying, phytoplankton assessment, and chlorophyll estimation, are still important in understanding these ecosystems. These methods allow researchers to collect data on the physical and chemical properties of water and the organisms that inhabit it. However, they are often time-consuming and limited in their ability to cover large areas.

In recent years, the application of artificial intelligence, machine learning, and data fusion has revolutionized the monitoring of aquatic systems. These technologies allow for the automated analysis of large datasets and the identification of patterns and trends that may not be visible to the human eye. For example, machine learning algorithms can be used to classify satellite imagery and identify different types of vegetation, while data fusion can combine data from multiple sources to create a more comprehensive picture of an ecosystem.

The prospects of future Earth Observation space missions for aquatic ecosystem monitoring are promising. These missions will provide high-resolution satellite imagery and other data that will allow researchers to monitor changes in ecosystems over time and identify areas of concern or degradation. They will also provide valuable information on the composition and structure of aquatic ecosystems and the impact of human activities on these ecosystems.

In conclusion, remote sensing is a powerful tool for monitoring and assessing aquatic ecosystems. It provides valuable information on the composition and structure of these ecosystems, allows for the identification of areas of concern or degradation, and enables the application of advanced technologies to improve our understanding of these ecosystems. With the prospects of future Earth Observation space missions, we can expect to see even greater advances in our ability to monitor and protect these important environments.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032321585