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CONFOUNDING CONSTITUENTS IN REMOTE SENSING OF PHYCOCYANIN     remote sensing  phycocyanin  blue-green algae  cyanobacteria       font style='font-size:12px;'> 2015/1/9
This project examines the impact of confounding variables that have limited the accuracy of remotely predicting phycocyanin in three Indiana drinking and recreational water reservoirs. In-situ field r...
Nuisance blue-green algal blooms contribute to aesthetic degradation of water resources and produce toxins that can have serious adverse human health effects. Current field-based methods for detecting...
An attempt has been made to study drainage morphometry of Manchi basin, which covers an area of 235.67 km2.Drainage Map prepared from Survey of India (SOI) toposheet and later updated from IRS-1C (LIS...
The status and trends of urban land use/land cover (LULC) significantly impacts the quality of human life and urban ecosystems. Pimpri-Chinchwad (PCMC) is one of the rapidly urbanizing municipal c...
Both marginal fluctuation and areal change were used to detect the accurate dynamics of glacier change in the study area using Landsat MSS, ETM, SPOT HRV and topographic maps based on GIS....

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