LiDAR-based potato crop suitability mapping along the Upper Saint John River Valley in New Brunswick
University of New Brunswick
This thesis reports on potato crop suitability mapping along the Upper Saint John River Valley in New Brunswick based on province-wide available high-resolution light detection and ranging (LiDAR) derived digital elevation model (DEM). Potato crop suitability rating was done by way of multi-criteria evaluation accounting for (i) topsoil and subsoil texture, (ii) soil calcareousness, (iii) soil coarse fragment content, (iv) depthto-compaction of soil, (v) soil drainage (depth-to-water table (DTW)), and (vi) elevation (slope percent). It was found that: 1. the tax assessment values of farmlands and farm and woodland combinations reflect the soil suitability for potato cropping across the Saint John River Valley, as mapped; 2. some of the field-surveyed soil property and associated tuber yield variations can be quantified and mapped using the LiDAR-DEM derived flow channels and associated DTW layers; this verification was done based on three published field-survey reports that deal with potato cropping near Saint-André, Florenceville, and Hartland, NB.