Several lakes, coastal zones and oceans are directly or indirectly influenced by human actions. Through the outlet of a large amount of materials in the air and water, we’re altering the natural conditions on local and global levels. Remote sensing sensors, on satellites or planes, can easily acquire graphic data, offering the user with details about the portrayed location, object or phenomenon. Three diverse programs are mentioned within this thesis. In the 1st part of this project (Environmental Applications of Aquatic Remote Sensing), we’ve utilized a bio-optical model to obtain info about water quality factors from remote sensing data collected. In the 2nd part, remote sensing data have been utilized to locate and map waste water plumes from pulp and paper industries along the east coast of Sweden. As a final point, in the 3rd section of this report (Environmental Applications of Aquatic Remote Sensing), we’ve reviewed to what extent satellite data may be used to keep track of coral reefs and identify coral bleaching.Irrespective of application, it is very important to understand the limits of this method. Nevertheless, this method gives us an opportunity to keep track of the environment, in this instance the aquatic environment, with a superior spatial coverage…
1 Background and objectives
1.1 Bio-optical modelling
1.2 Industrial plume detection
1.3 Monitoring of coral reefs
2 Introduction
2.1 Environmental threats in the aquatic environment
2.1.1 The lake water environment
2.1.2 Industrial discharges in the coastal zone
2.1.3 The coral reef environmen
2.2 Remote sensing
2.2.1 Electromagnetic radiation and spectral reflectance
2.2.2 Remote sensing sensors
2.3 Aquatic remote sensing
2.3.1 Basic physics
2.3.2 Substances influencing the optical properties
2.4 Image pre-processing
2.4.1 Geometric correction
2.4.2 Radiometric calibration
2.4.3 Atmospheric correction
2.4.4 Water column correction
3 Materials
3.1 Test sites and field data
3.1.1 Bio-optical modelling
3.1.2 Industrial plume detection
3.1.3 Monitoring of coral reefs
3.2 Image data
3.2.1 Bio-optical modelling
3.2.2 Industrial plume detection
3.2.3 Monitoring of coral reefs
4 Methodolog
4.1 Image pre-processing
4.1.1 Bio-optical modelling and Industrial plume detection
4.1.2 Monitoring of coral reefs
4.2 Bio-optical modelling
4.2.1 Description of the under-water optics model
4.2.2 Extraction of water quality algorithms
4.3 Industrial plume detection
4.4 Monitoring of coral reefs
4.4.1 Mapping of reef structure and ecological components
4.4.2 Detection of coral reef change
5 Results
5.1 Bio-optical modelling
5.1.1 Lake Mälaren
5.1.2 Lake Erken
5.2 Industrial plume detection
5.3 Monitoring of coral reefs
5.3.1 Mapping of reef structure and ecological components
5.3.2 Detection of coral reef change and bleaching
6 Conclusions
6.1 Bio-optical modelling
6.2 Industrial plume detection
6.3 Monitoring of coral reefs
7 Discussion and future research
7.1 Bio-optical modelling…
8 Summary of publications
8.1 Paper I – Bio-optical modelling combined with remote sensing to assess water quality
8.2 Paper II – Evaluation of Swedish lake water quality modeling from remote sensing
8.3 Paper III – Industrial plume detection in multispectral remote sensing data…
Source: Uppsala University Library
Download URL 2: Visit Now