Estimating Chlorophyll-a concentration from the inland turbid water has been an important research issue for preserving and managing the ecological issues related to the lives of both flora and fauna. Hyperspectral remote sensing is being exploited to retrieve the true estimation of phytoplankton from all platforms like satellite, airborne sensors and handheld field spectroradiometers. This study was aimed to utilize both satellite sensors and field spectrometers for proper assessment of Chlorophyll-a. 4-band model with band combination [Rrs(λ1)−1 − Rrs(λ2)−1] × [Rrs(λ4)−1 − Rrs(λ3)−1]−1 is found better than other models, while for Landsat ETM+, band combination b1/b2 is found better for estimating Chlorophyll-a as compared to other band combinations. It is also found that FLAASH is not suitable for atmospheric correction of ETM+ images destined to study Chlorophyll-a concentration.