Monitoring reservoir water quality with Formosat-2 high spatiotemporal imagery.

Water reservoirs are the primary source of freshwater for most cities around the world. To monitor the dynamic changes in reservoir water quality, however, we need an innovative platform that is able to observe the entire reservoir with both high-spatial- and high-temporal-resolution. Formosat-2 is the first commercial satellite dedicated to site surveillance with a high-spatial-resolution sensor placed in a daily revisit orbit (2 m in panchromatic and 8 m in multispectral).

Nonpoint source pollution loading from an undistributed tropic forest area.

Water quality and unit nonpoint sources (NPS) pollution load from a forest area were studied in a mountainous watershed in Taiwan. The flow rates were measured with rectangular weirs and samples taken for water quality analysis in both non-rainy and rainy days for 2 years. The subroutine of the Hydrological Simulation Program--FORTRAN was used to simulate runoff for additional 3 years.

Integrating semianalytical and genetic algorithms to retrieve the constituents of water bodies from remote sensing of ocean color.

This work presents a novel GA-SA approach to retrieve the constituents of water bodies from remote sensing of ocean color. This approach is validated and compared to the existing algorithms using the same synthetic and in-situ datasets compiled by the International Ocean Color Coordinate Group. Comparing to the other methods, the GA-SA approach provides better retrievals for both the inherent optical properties and various water constituents.