scholarly journals Use of Limited Data to Model Lake Water Clarity from Remote Sensed Data in Lake Mattamuskeet, North Carolina

2016 ◽  
pp. 43-54
Author(s):  
Sibel Ozen ◽  
Stacy A. C. Nelson ◽  
Siamak Khorra ◽  
Michelle Moorman ◽  
Halil Cakir
Keyword(s):  
North Carolina ◽  
Lake Water ◽  
Water Clarity ◽  
Limited Data

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 Where's the Grass? Disappearing Submerged Aquatic Vegetation and Declining Water Quality in Lake Mattamuskeet

2017 ◽  
Vol 8 (2) ◽  
pp. 401-417 ◽  
Author(s):  
Michelle C. Moorman ◽  
Tom Augspurger ◽  
John D. Stanton ◽  
Adam Smith
Keyword(s):  
Water Quality ◽  
North Carolina ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Suspended Sediments ◽  
Water Clarity ◽  
Aquatic Life ◽  
Current Water

Abstract Major threats to aquatic systems such as shallow lakes can include declining water quality, the loss of macrophyte beds, and the occurrence of harmful algal blooms. Often, these changes go unnoticed until a shift from a clear, oligotrophic system dominated by macrophyte beds to a turbid, eutrophic system dominated by phytoplankton and associated harmful algal blooms has occurred. Lake Mattamuskeet, which mostly lies within the boundary of Mattamuskeet National Wildlife Refuge, North Carolina, is a shallow lake that has recently experienced a reduction in water clarity and macrophyte beds, also referred to as submerged aquatic vegetation (SAV), and an increase in nutrients, phytoplankton, harmful algal blooms, and cyanotoxin production. At Lake Mattamuskeet, SAV coverage and water clarity declined between the 1980s and 2015. During the same time, significantly increasing trends in nitrogen, phosphorus, turbidity, suspended sediments, chlorophyll a, and pH occurred. Current water-quality conditions (2012–2015) are not conducive to SAV survival and, in some cases, do not meet North Carolina water-quality standards for the protection of aquatic life. Water clarity declines appear to predate the SAV die-offs on the east side. Moving forward, SAV will serve as a primary indicator for lake health; and lake monitoring, research, and management efforts will focus on the restoration of aquatic grasses and water quality at Lake Mattamuskeet.

scholarly journals Spatially compounded surge events: an example from hurricanes Matthew and Florence

2021 ◽  
Vol 21 (6) ◽  
pp. 1759-1767
Author(s):  
Scott Curtis ◽  
Kelley DePolt ◽  
Jamie Kruse ◽  
Anuradha Mukherji ◽  
Jennifer Helgeson ◽  
...  
Keyword(s):  
North Carolina ◽  
Tide Gauges ◽  
Limited Data ◽  
Data Set ◽  
Storm Tide ◽  
Hazard Management ◽  
Spatial Compounding ◽  
Semivariogram Analysis ◽  
Management Domain ◽  
Eastern North Carolina

Abstract. The simultaneous rise of tropical-cyclone-induced flood waters across a large hazard management domain can stretch rescue and recovery efforts. Here we present a means to quantify the connectedness of maximum surge during a storm with geospatial statistics. Tide gauges throughout the extensive estuaries and barrier islands of North Carolina deployed and operating during hurricanes Matthew (n=82) and Florence (n=123) are used to compare the spatial compounding of surge for these two disasters. Moran's I showed the occurrence of maximum storm tide was more clustered for Matthew compared to Florence, and a semivariogram analysis produced a spatial range of similarly timed storm tide that was 4 times as large for Matthew than Florence. A more limited data set of fluvial flooding and precipitation in eastern North Carolina showed a consistent result – multivariate flood sources associated with Matthew were more concentrated in time as compared to Florence. Although Matthew and Florence were equally intense, they had very different tracks and speeds which influenced the timing of surge along the coast.

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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