Parent Layer: Habitat / L'habitat

Name: Salt marsh / Marais salé

Display Field: UNIT_ID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:14pt">New Brunswick's Landbase Layer created </SPAN><SPAN STYLE="font-size:14pt">Jan-Feb 2020</SPAN><SPAN STYLE="font-size:14pt">, using SDE data snapshot taken </SPAN><SPAN STYLE="font-size:14pt">Jan 13</SPAN><SPAN STYLE="font-size:14pt">, 20</SPAN><SPAN STYLE="font-size:14pt">20 (with slight modifications)</SPAN><SPAN STYLE="font-size:14pt">, including Crown Land Holder layer, and Waterbody and Wetland polygons from the NBHN. Watershed source taken August 31, 2016. Includes the NB </SPAN><SPAN STYLE="font-size:14pt">DNRED </SPAN><SPAN STYLE="font-size:14pt">(NB DNR) </SPAN><SPAN STYLE="font-size:14pt">latest </SPAN><SPAN STYLE="font-size:14pt">201</SPAN><SPAN STYLE="font-size:14pt">6N</SPAN><SPAN /><SPAN STYLE="font-size:14pt">year photo-interpretation block, as well as Harvest and Silviculture updates up to and including the 20</SPAN><SPAN STYLE="font-size:14pt">1</SPAN><SPAN STYLE="font-size:14pt">8</SPAN><SPAN /><SPAN STYLE="font-size:14pt">Operating Year (so to March 31, 20</SPAN><SPAN STYLE="font-size:14pt">19). Unreconciled previous Holder 98 are coded as Holder 99. Topology was corrected to remove all overlaps; minimum polygon size is &gt; 10 m2. STDLAB values are unique. This version includes minor changes made by Mark Colpitts to a few forest polygons. </SPAN></P><P><SPAN STYLE="font-size:14pt">The Landbase layer is defined as an overlay of the following layers and application of the following algorithms: - Forest - Non-forest and buffered forest roads - Wetlands - Water bodies - Forest activities - Crown Land Holder - Ecological Land Classification - FUNA algorithm (</SPAN><SPAN STYLE="font-size:14pt">2020 </SPAN><SPAN STYLE="font-size:14pt">version). Watershed attributes were added via a point-in-poly but did not split Landbase polygons.</SPAN></P></DIV></DIV></DIV>

Service Item Id: a81b8381ff704d979b72b47e41c6b227

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