Title :
The case for a global inland water quality product
Author :
Malthus, Tim J. ; Hestir, Erin L. ; Dekker, Arnold G. ; Brando, Vittorio E.
Author_Institution :
Environ. Earth Obs. Program, Commonwealth Sci. & Ind. Res. Organ., Canberra, ACT, Australia
Abstract :
This paper argues for the development of a quantitative global inland water quality product based on satellite optical remote sensing. Water quality is a critical component of global fresh water security and ecosystem health, yet is often overlooked when global analyses of water security are undertaken. In the face of declining surface measurements and datasets across the globe, alternatives to conventional water quality measurement are required. The case for an optical remote sensing based inland water quality product is a strong one. Global products of ocean color and their dissemination infrastructure are operational and widely used, providing a framework for global inland products. Furthermore, coastal and inland water quality algorithms based on spectral inversion algorithms are now sufficiently mature to cope with the greater variability of inherent optical properties in these systems. While these algorithms provide the greatest promise for reliable, robust and simultaneous retrieval of several water quality variables across sensors, limited knowledge of the bio-optical properties of inland waters and limited validation currently prevent global implementation. Internationally coordinated efforts are required to accumulate representative bio-optical data to improve our understanding of the optical complexity and variability of inland waters.
Keywords :
ecology; remote sensing by laser beam; underwater optics; water quality; bio-optical properties; ecosystem health; global fresh water security; global inland water quality product; inland water variability; ocean color; optical complexity; satellite optical remote sensing; spectral inversion algorithms; water quality measurement; Adaptive optics; Biomedical optical imaging; Optical sensors; Remote sensing; Satellites; Spatial resolution; Inland water quality; global datasets; inversion algorithms; optical remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352429