Mapping lake water clarity with Landsat images in Wisconsin, U.S.A.

2004 ◽  
Vol 30 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Jonathan W Chipman ◽  
Thomas M Lillesand ◽  
Jeffrey E Schmaltz ◽  
Jill E Leale ◽  
Mark J Nordheim
Keyword(s):  
Lake Water ◽  
Water Clarity ◽  
Landsat Images

A procedure for regional lake water clarity assessment using Landsat multispectral data

2002 ◽  
Vol 82 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Steven M Kloiber ◽  
Patrick L Brezonik ◽  
Leif G Olmanson ◽  
Marvin E Bauer
Keyword(s):  
Lake Water ◽  
Water Clarity ◽  
Multispectral Data

scholarly journals WATER CLARITY MAPPING IN KERINCI AND TONDANO LAKE WATERS USING LANDSAT 8 DATA

2017 ◽  
Vol 12 (2) ◽  
pp. 117 ◽  
Author(s):  
Bambang Trisakti ◽  
Nana Suwargana ◽  
I Made Parsa
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Atmospheric Correction ◽  
Total Suspended Solid ◽  
Water Clarity ◽  
Suspended Solid ◽  
Lake Ecosystem ◽  
Landsat 8 ◽  
Wide Range ◽  
Lake Waters

Land conversion occurred in the lake catchment area caused the decreasing of water quality in many lakes of Indonesia. According to Lake Ecosystem Management Guidelines from Ministry of Environment, tropic state of lake water is one of parameters for assessing the lake ecosystem status. Tropic state can be indicated by the quantity of nitrogen, phosphorus, chlorophyll, and water clarity. The objective of this research is to develop the water quality algorithm and map the water clarity of lake water using Landsat 8 data. The data were standardized for sun geometry correction and atmospheric correction using Dark Object Subtraction method. In the first step, Total Suspended Solid (TSS) distributions in the lake were calculated using a semi empirical algorithm (Doxaran et al., 2002), which can be applied to a wide range of TSS values. Secchi Disk Transparency (SDT) distributions were calculated using our water clarity algorithm that was obtained from the relationship between TSS and SDT measured directly in the lake waters. The result shows that the water clarity algorithm developed in this research has the determination coefficient that reaches to 0,834. Implementation of the algorithm for Landsat 8 data in 2013 and 2014 showed that the water clarity in Kerinci Lake waters was around 2 m or less, but the water clarity in Tondano Lake waters was around 2 – 3 m. It means that Kerinci Lake waters had lower water clarity than Tondano Lake waters which is consistent with the field measurement results.

scholarly journals Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images

2019 ◽  
Vol 12 (4) ◽  
pp. 212-229 ◽  
Author(s):  
Azatuhi Hovsepyan ◽  
Garegin Tepanosyan ◽  
Vahagn Muradyan ◽  
Shushanik Asmaryan ◽  
Andrey Medvedev ◽  
...  
Keyword(s):  
Water Level ◽  
Lake Water ◽  
Ecological Status ◽  
Shoreline Change ◽  
Landsat Images ◽  
Lake Sevan ◽  
Shoreline Changes ◽  
Lake Water Level ◽  
Long Term Study ◽  
Multi Temporal

Shoreline changes are important indicators of natural and manmade impacts on inland waters and particularly lakes. Man-induced changes in Lake Sevan water level during the 20th century affected not only the ecological status of the Sevan water but also near-shore areas. This article considers a long-term study of changes in Lake Sevan shoreline that occurred between 1973 and 2015. The Normalized Difference Water Index (NDWI) was applied to delineate the Sevan shoreline changes according to periods of lake water fluctuation from multi-temporal Landsat images and Historical changes in shorelines were analyzed with help of the Digital Shoreline Analysis System (DSAS) toolbox. Data obtained from the analysis have indicated that changes in the lake shoreline that occurred in different periods are similar to those in the lake water balance. Areas with the greatest shoreline changes have comparatively flat relief, so in the result of the lake water level raise vast forested areas were submerged. This study shows that application of multi-temporal spatial imagery and GIS methods can provide valuable information on time-and-space changes in the Sevan shoreline. Such information is important for monitoring Lake Sevan shoreline and nearshore changes.

Annual precipitation regulates spatial and temporal drivers of lake water clarity

2017 ◽  
Vol 27 (2) ◽  
pp. 632-643 ◽  
Author(s):  
Kevin C. Rose ◽  
Steven R. Greb ◽  
Matthew Diebel ◽  
Monica G. Turner
Keyword(s):  
Lake Water ◽  
Water Clarity ◽  
Annual Precipitation

Remote-sensing assessment of regional inland lake water clarity in northeast China

Limnology ◽  
2009 ◽  
Vol 10 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Hongtao Duan ◽  
Ronghua Ma ◽  
Yuanzhi Zhang ◽  
Bai Zhang
Keyword(s):  
Remote Sensing ◽  
Lake Water ◽  
Northeast China ◽  
Water Clarity ◽  
Inland Lake

Effects of atmospheric correction of Landsat imagery on lake water clarity assessment

2015 ◽  
Vol 56 (11) ◽  
pp. 2345-2355 ◽  
Author(s):  
Matias Bonansea ◽  
C. Ledesma ◽  
C. Rodríguez ◽  
L. Pinotti ◽  
M. Homem Antunes
Keyword(s):  
Lake Water ◽  
Landsat Imagery ◽  
Atmospheric Correction ◽  
Water Clarity

scholarly journals Multi-decadal improvement in U.S. lake water clarity

2021 ◽  
Author(s):  
Simon N Topp ◽  
Tamlin M Pavelsky ◽  
Emily H. Stanley ◽  
Xiao Yang ◽  
Claire G Griffin ◽  
...  
Keyword(s):  
Lake Water ◽  
Water Clarity

scholarly journals Multi-decadal improvement in U.S. lake water clarity

2020 ◽  
Author(s):  
Simon Topp ◽  
Tamlin Pavelsky ◽  
Emily Stanley ◽  
Xiao Yang ◽  
Claire Griffin ◽  
...  
Keyword(s):  
Lake Water ◽  
Water Clarity
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