Year: 2024, 2024
Member of: Trent University Graduate Thesis Collection
Abstract: <p>ABSTRACT</p><p>Development of Forest Degradation Indicators from Long-term Trajectories of Multispectral Satellite Images, and their Projections into the Future
under Climate Change, in Ontario, Canada</p><p>Md. Mozammel Hoque</p><p>Ontario forests are affected by natural and anthropogenic disturbances leading to forest degradation, which significantly… more
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>The forestry sector has a well-developed history of using remote sensing to identify structural characteristics of forests and to detect and attribute changes that occur in forested landscapes. Monitoring the recovery of disturbed forests is an important factor in long term forest management. However, forest that is recovered spectrally may not be recovered when considered in terms of a… more
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Currently, UAVs are deployed to measure crop health in a timely manner by mapping vegetation indices. A study using two different fields was conducted in order to search for a relationship that may exist between crop health and soil fertility. A UAV equipped with sensor technology was used for mapping of vegetation indices which were then statistically compared to soil nutrient data… more
Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Abstract: <p>In this thesis, a methodological framework for the assessment and monitoring of forest degradation based on remote sensing techniques and field data, as part of the REDD+ programme, is presented. The framework intends to support the implementation of a national Monitoring, Verification and Report (MRV) system in developing countries. The framework proposed an operational definition of… more