ePortfolio
R programming language for statistical computing and graphics
The study compared mangrove cover and fragmentation pattern change between Peam Krasop Wildlife Sanctuary (PKWS), southwest Cambodia and the surrounding non-protected area between 2014 and 2020 to investigate the conservation effectiveness of PKWS.
In this lab, we used machine learning in R to classify the presence and absence of a Cactus species. In
addition, a probability surface was created to show where this species is expected to appear.
Up-to-date forest inventories are essential for achieving sustainable forest management by providing information on forest structural attributes, species composition, and health status. The traditional method to produce forest inventories by conducting field work can be time consuming and costly. The development of LiDAR technique can support the need by characterizing forest attributes in an accurate and cost effective manner.
The normalized difference vegetation index (NDVI) data from 2007 to 2017 for a study area in Alberta was derived from the MODIS Terra product MOD13Q1. A time series analysis was performed to study the change of NDVI across years.