Main content

Evaluating the utility of remote sensing time series analysis for the identification of grassland conversions in Alberta, Canada

Show full item record

Title: Evaluating the utility of remote sensing time series analysis for the identification of grassland conversions in Alberta, Canada
Author: Mardian, Jacob
Department: Department of Geography, Environment and Geomatics
Program: Geography
Advisor: Berg, Aaron
Abstract: Grasslands are an important source of ecosystem services and play a critical role in climate regulation. However, this biome is threatened by agricultural expansion and intensification. Remote sensing offers a unique opportunity to monitor these grassland to cropland conversions through the collection of data at various spatial and temporal scales. This research examines the applicability of remote sensing time series analysis as a tool for identifying grassland to cropland conversions in Alberta, Canada. The Breaks for Additive Seasonal and Trend (BFAST) Seasonal method was the most effective model tested, identifying the correct year of change for 76% of rangeland to cropland conversions and 66% of pasture to cropland conversions. However, the results were strongly dependent on model parameterizations, the datasets used, and the subsequent crop planted. Overall, this research provides a new data-driven approach for identifying grassland to cropland conversions and can be used to improve monitoring of Canada’s grassland resources.
URI: https://hdl.handle.net/10214/21262
Date: 2020-09
Rights: Attribution-NonCommercial-ShareAlike 4.0 International
Terms of Use: All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.


Files in this item

Files Size Format View
Mardian_Jacob_202009_Msc.pdf 1.983Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Attribution-NonCommercial-ShareAlike 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International