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Future investment feasibility studies concerning post-mining repurposing utilities and economic transitions should focus on regional water resource management and the hydraulic protection of any utilities. Satellite images in different bands and Digital Elevation Models (DEM) of the Ptolemais basin were processed, leading to a more accurate estimation of the runoff ratio and percolation ratio. Furthermore, the saturated and unsaturated areas were delineated, leading to the recognition of potential artificial ground water recharge zones and zones where appropriate hydraulic protection measures are necessary. [ABSTRACT FROM AUTHOR]

This paper tested the ability of the dimidiate pixel model on extraction of the changes about vegetation fractional coverage vegetation includes all plant communities that cover the earth. Vegetation fractional coverage is an important index to measure vegetation condition. It is important to hydrology and ecology. This paper selected the two phase TM of Lugu Lake area images for the data sources. TM image was used to derive normalized difference vegetation index (NDVI) and vegetation fractional coverage (VFC) by dimidiate pixel model after geometric correction, radiometric correction and atmospheric correction. VFC in different districts of Lugu Lake were calculated in 1995 and 2006 by employing method for dimidiate pixel model. The results show that the vegetation fractional coverage in Lugu Lake area from 1995 to 2006 has changed significantly. The average vegetation fractional coverage raised from 50.94% to 59.82%, rising value is 8.88%. The vegetation fractional coverage of Grass Sea has improved significantly. [ABSTRACT FROM PUBLISHER]

This paper presents a phenology-preserving filtering method as a significant improvement to the standard changing-weight filter method to reduce noise in NDVI time series. Specifically it introduces two new features: (1) replacing the changing-weight filter with a 3-point Gaussian filter to improve the computing efficiency; and (2) introducing a multi-year average NDVI time series to remove the false local minima points. This phenology-preserving filtering method was tested at 178 test points for 15 land cover types and 6 test regions around the world using the 250 m 16-day MODIS NDVI product. The results were evaluated in comparison with the original changing-weight filter and other three popular filtering methods. The visual and quantitative analyses demonstrate that the phenology-preserving filtering method can effectively reduce noise and preserve the integrity of the time series with a high computing efficiency. [ABSTRACT FROM PUBLISHER]