A Landsat-derived annual inland water clarity dataset of China between 1984 and 2018.

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Date: Jan. 13, 2022
From: Earth System Science Data(Vol. 14, Issue 1)
Publisher: Copernicus GmbH
Document Type: Article
Length: 471 words

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Abstract :

Water clarity serves as a sensitive tool for understanding the spatial pattern and historical trend in lakes' trophic status. Despite the wide availability of remotely sensed data, this metric has not been fully explored for long-term environmental monitoring. To this end, we utilized Landsat top-of-atmosphere reflectance products within Google Earth Engine in the period 1984-2018 to retrieve the average Secchi disk depth (SDD) for each lake in each year. Three SDD datasets were used for model calibration and validation from different field campaigns mainly conducted during 2004-2018. The red / blue band ratio algorithm was applied to map SDD for lakes (0.01 km.sup.2) based on the first SDD dataset, where R.sup.2 =0.79 and relative RMSE (rRMSE) =61.9 %. The other two datasets were used to validate the temporal transferability of the SDD estimation model, which confirmed the stable performance of the model. The spatiotemporal dynamics of SDD were analyzed at the five lake regions and individual lake scales, and the average, changing trend, lake number and area, and spatial distribution of lake SDDs across China were presented. In 2018, we found the number of lakes with SDD

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Gale Document Number: GALE|A689420944