Session

session4

Location

Space Dynamics Laboratory, Auditorium Rm A

Start Date

5-9-2022 11:20 AM

End Date

5-9-2022 11:30 AM

Description

A challenge faced by those working in a system plagued by non-native vegetation invasion and disturbance from ungulates is the ability to collect landscape-level information about land cover change and the mass movement of soils associated pulsed rainfall events. Our goal was to conduct high-precision change detection of land cover and surface features during a two-year period that included several mass sediment flux events associated with tropical storms. We present here preliminary results of the development and testing of a rule set based classification algorithm used to classify imagery from 2019 and 2021 of a single watershed in Molokai to evaluate the efficacy of the approach as well as sharing limitations that need to be considered before further implementing this for long term usage.

Available for download on Tuesday, May 09, 2023

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May 9th, 11:20 AM May 9th, 11:30 AM

Quantifying Impacts of Grazing and Poor Land Management Strategies on Erosion through a Semi-Automated Change Detection Workflow in Ka’amola, Molokai

Space Dynamics Laboratory, Auditorium Rm A

A challenge faced by those working in a system plagued by non-native vegetation invasion and disturbance from ungulates is the ability to collect landscape-level information about land cover change and the mass movement of soils associated pulsed rainfall events. Our goal was to conduct high-precision change detection of land cover and surface features during a two-year period that included several mass sediment flux events associated with tropical storms. We present here preliminary results of the development and testing of a rule set based classification algorithm used to classify imagery from 2019 and 2021 of a single watershed in Molokai to evaluate the efficacy of the approach as well as sharing limitations that need to be considered before further implementing this for long term usage.