Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Satellite remote sensing may assist in meeting the needs of lake monitoring. In this study,  aim to evaluate the potential of Sentinel-2 to assess and monitor water constituents and bottom characteristics of lakes at spatio-temporal synoptic scales. In a field campaign at Lake Starnberg, Germany,  collected validation data concurrently to a Sentinel-2A (S2-A) overpass.  compared the results of three different atmospheric corrections, i.e., Sen2Cor, ACOLITE and MIP, with in situ reflectance measurements, whereof MIP performed best (r = 0.987, RMSE = 0.002 sr−1). Using the bio-optical modelling tool WASI-2D,  retrieved absorption by coloured dissolved organic matter (aCDOM(440)), backscattering and concentration of suspended particulate matter (SPM) in optically deep water; water depths, bottom substrates and aCDOM(440) re modelled in optically shallow water. In deep water, SPM and aCDOM(440) shod reasonable spatial patterns. Comparisons with in situ data (mean: 0.43 m−1) shod an underestimation of S2-A derived aCDOM(440) (mean: 0.14 m−1); S2-A backscattering of SPM was slightly higher than backscattering from in situ data (mean: 0.027 m−1 vs. 0.019 m−1). Chlorophyll-a concentrations (~1 mg·m−3) of the lake re too low for a retrieval. In shallow water, retrieved water depths exhibited a high correlation with echo sounding data (r = 0.95, residual standard deviation = 0.12 m) up to 2.5 m (Secchi disk depth: 4.2 m), though water depths re slightly underestimated (RMSE = 0.56 m). In deeper water, Sentinel-2A bands re incapable of allowing a WASI-2D based separation of macrophytes and sediment which led to erroneous water depths. Overall, the results encourage further research on lakes with varying optical properties and trophic states with Sentinel-2A.
['Katja Dörnhöfer', 'Anna Göritz', 'Peter Gege', 'Bringfried Pflug', 'Natascha Oppelt']
I am writing a research paper on a idea Water constituents and water depth retrieval from Sentinel-2A – a first evaluation in an oligotrophic lake
[{"from": "human", "value": "I am writing a research paper on a idea Water constituents and water depth retrieval from Sentinel-2A \u2013 a first evaluation in an oligotrophic lake"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Satellite remote sensing may assist in meeting the needs of lake monitoring. In this study,  aim to evaluate the potential of Sentinel-2 to assess and monitor water constituents and bottom characteristics of lakes at spatio-temporal synoptic scales. In a field campaign at Lake Starnberg, Germany,  collected validation data concurrently to a Sentinel-2A (S2-A) overpass.  compared the results of three different atmospheric corrections, i.e., Sen2Cor, ACOLITE and MIP, with in situ reflectance measurements, whereof MIP performed best (r = 0.987, RMSE = 0.002 sr\u22121). Using the bio-optical modelling tool WASI-2D,  retrieved absorption by coloured dissolved organic matter (aCDOM(440)), backscattering and concentration of suspended particulate matter (SPM) in optically deep water; water depths, bottom substrates and aCDOM(440) re modelled in optically shallow water. In deep water, SPM and aCDOM(440) shod reasonable spatial patterns. Comparisons with in situ data (mean: 0.43 m\u22121) shod an underestimation of S2-A derived aCDOM(440) (mean: 0.14 m\u22121); S2-A backscattering of SPM was slightly higher than backscattering from in situ data (mean: 0.027 m\u22121 vs. 0.019 m\u22121). Chlorophyll-a concentrations (~1 mg\u00b7m\u22123) of the lake re too low for a retrieval. In shallow water, retrieved water depths exhibited a high correlation with echo sounding data (r = 0.95, residual standard deviation = 0.12 m) up to 2.5 m (Secchi disk depth: 4.2 m), though water depths re slightly underestimated (RMSE = 0.56 m). In deeper water, Sentinel-2A bands re incapable of allowing a WASI-2D based separation of macrophytes and sediment which led to erroneous water depths. Overall, the results encourage further research on lakes with varying optical properties and trophic states with Sentinel-2A."}]