High-resolution wet-areas mapping for the Romeo Malette Forest 120-802

Description: This project generates  soil moisture indicator maps for the Romeo-Malette Forest using provincial (OBM), bare-ground LiDAR –derived elevation data, and  GIS procedures and algorithms to determine flow direction, flow direction, and DEM-derived soil wetness indices, including the widely used terrain wetness index TWI, and a cartographically determined depth-to-water index (DTW). Map verification in the context of forest operations planning is facilitated by various means:

1. overlay comparisons with air photos and satellite images,

2. comparing mapped stream-road intersections with actual culvert locations,

3. relating wetland, bufferzone, machine-free zone borders, harvest tracks and roads and trails to TWI and DTW.

Thus far, the work involved

1. generating the OMNR-DEM and LiDAR based flow-channel and DTW maps based on improved surface interpolations and algorithms for determining flow accumulation,

2. optimizing the DEM data for bare-ground as well as TWI and DTW determinations,

3. ascertaining the general quality of the maps and soil moisture indices through visual comparisons with other GIS datalayers, including surface images, existing lake, flow channel, stream and road maps.

This project is done in the context of an SFMN-supported research, with Tembec, FERIC and OMNR as research partners


The Project Team: Paul A. Arp, Jae Ogilvie (UNB),  Chat St. Amand (Tembec), Mark Partington (FERIC)



Romeo Malette Forest Depth-to-water Mapping


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