LiDAR-based potato crop suitability mapping along the Upper Saint John River Valley in New Brunswick
dc.contributor.advisor | Arp, Paul | |
dc.contributor.author | Lemieux, Kamille Eve | |
dc.date.accessioned | 2023-11-01T17:44:41Z | |
dc.date.available | 2023-11-01T17:44:41Z | |
dc.date.issued | 2022-12 | |
dc.description.abstract | 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. | |
dc.description.copyright | ©Kamille Lemieux, 2022 | |
dc.format.extent | xviii, 136 | |
dc.format.medium | electronic | |
dc.identifier.oclc | (OCoLC)1419545053 | en |
dc.identifier.other | Thesis 11160 | en |
dc.identifier.uri | https://unbscholar.lib.unb.ca/handle/1882/37516 | |
dc.language.iso | en | |
dc.publisher | University of New Brunswick | |
dc.relation | New Brunswick Department of Agriculture | |
dc.rights | http://purl.org/coar/access_right/c_abf2 | |
dc.subject.discipline | Forestry and Environmental Management | |
dc.subject.lcsh | Potatoes--New Brunswick. | en |
dc.subject.lcsh | Optical radar--New Brunswick. | en |
dc.subject.lcsh | Agriculture--New Brunswick--Remote sensing. | en |
dc.subject.lcsh | Land use--New Brunswick--Remote sensing. | en |
dc.subject.lcsh | New Brunswick. | en |
dc.title | LiDAR-based potato crop suitability mapping along the Upper Saint John River Valley in New Brunswick | |
dc.type | master thesis | |
oaire.license.condition | other | |
thesis.degree.discipline | Forestry and Environmental Management | |
thesis.degree.grantor | University of New Brunswick | |
thesis.degree.level | masters | |
thesis.degree.name | M.Sc.F. |