View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap   ArcGIS Pro

View Footprint In:   ArcGIS Online Map Viewer

Service Description: Typically, shoreline change occurring over a short time span can be characterized by cyclic or episodic non-linear behavior, such as storm-induced shoreline retreat. High short-term variability increases the shoreline change rate uncertainty and the potential for rates of shoreline change that are statistically insignificant. In many locations, the short-term trend is calculated with only 3 shorelines. As noted above, uncertainty generally decreases with an increasing number of shoreline data points; thus the small number of shorelines in the short-term calculation can result in higher uncertainty. To supplement gaps in the short-term data, end point rates were calculated at each transect that did not intersect the minimum number of three shorelines required to calculate a linear regression rate. The end point rate is calculated by dividing the distance between shorelines by the time elapsed between the oldest (1983) and the most recent (2006) shoreline. End point rates represent the net change between the two shorelines divided by the elapsed time period. Unlike the linear regression method, end point rates do not have an associated expression (such as a confidence interval) of how scattered the shoreline positions are relative to an assumed linear trend.

Map Name: Shoreline Change Short Term (1983 - 2006)

Legend

All Layers and Tables

Layers:

• Net Shoreline Movement (NSM) 1983-2006 (0)
  • Positive Net Shoreline Movement (meters) (1)
  • Negative Net Shoreline Movement (meters) (2)
• End Point Rates (EPR) 1983-2006 (3)
  • Postive End Point Rates (meters/year) (4)
  • Negative End Point Rates (meters/year) (5)
• Shoreline Change Transects 1983-2006 (6)
• CT Shorelines: 1983-2006 (7)

Description: Shorelines are continuously moving in response to winds, waves, tides, sediment supply, changes in relative sea level, and human activities. Shoreline changes are generally not constant through time and frequently switch from negative (erosion) to positive (accretion) and vice versa. Cyclic and non-cyclic processes change the position of the shoreline over a variety of timescales, from the daily and seasonal effects of winds and waves, to changes in sea level over a century to thousands of years. The shoreline "rate of change" statistic thus reflects a cumulative summary of the processes that altered the shoreline for the time period analyzed.

Copyright Text: CT DEEP, UCONN, CT SeaGrant, NOAA, USGS

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent:

XMin: -8160363.726819307
YMin: 5048450.810630198
XMax: -8034058.853263233
YMax: 5095547.543142633
Spatial Reference: 102100  (3857)

Full Extent:

XMin: -8200946.202447177
YMin: 5010101.029095742
XMax: -7994023.349232904
YMax: 5075872.82468584
Spatial Reference: 102100  (3857)

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: CT Shoreline Change Viewer
Author:
Comments: Typically, shoreline change occurring over a short time span can be characterized by cyclic or episodic non-linear behavior, such as storm-induced shoreline retreat. High short-term variability increases the shoreline change rate uncertainty and the potential for rates of shoreline change that are statistically insignificant. In many locations, the short-term trend is calculated with only 3 shorelines. As noted above, uncertainty generally decreases with an increasing number of shoreline data points; thus the small number of shorelines in the short-term calculation can result in higher uncertainty. To supplement gaps in the short-term data, end point rates were calculated at each transect that did not intersect the minimum number of three shorelines required to calculate a linear regression rate. The end point rate is calculated by dividing the distance between shorelines by the time elapsed between the oldest (1983) and the most recent (2006) shoreline. End point rates represent the net change between the two shorelines divided by the elapsed time period. Unlike the linear regression method, end point rates do not have an associated expression (such as a confidence interval) of how scattered the shoreline positions are relative to an assumed linear trend.
Subject: Displays shoreline change data in various formats for short term time (1983 - 2006) horizons.
Category:
Keywords: Shoreline,Connecticut
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: false

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON

Supports Query Data Elements:

Min Scale: 1500100

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates