Remote Sensing for Landscape Analysis
Rem Sensing Landscape Ana
This class provides basic theory in landscape analysis and training in methods for analyzing landscapes, focusing on interpretation of satellite images. The class covers approaches and definitions in landscape analysis, data sources, land cover classification, change detection, accuracy assessment, projections of future land cover change, and techniques to interpret results of these analyses. Students will obtain hands-on experience working with data from a landscape related to his/her research or a landscape chosen by the instructors.
- M 4:10 p.m.-6 p.m.
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Instructor:
Jay M Schoen
Info - 3 points
Advanced Biodiversity Analysis I
Adv Biodiversity Analysis
This course focuses on understanding the concepts of science-based biodiversity metrics and demonstrates the application of advanced methods in deriving robust and data-backed metrics for populations and species. This course introduces students to the field of population ecology and the use of data in global, national, and regional policies responsible for the conservation of biodiversity. Students will learn how to use various statistical packages in program R to analyze biodiversity data for estimating metrics such as habitat occupancy, abundance and density trends through time while considering the effects of human actions. Species are the “currency” in most biodiversity-related policies and regulations. As such, students will also examine how species distributions can shift due to climate change and evaluate the use of species-level metrics, including extinction risk and genetic markers, for supporting sustainability and conservation goals. This course will provide students with a strong foundation of statistical models commonly used in biodiversity conservation and the use of such models for deriving metrics and indicators to support decision-making in terrestrial and marine environments.
- W 6:10 p.m.-8 p.m.
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Instructor:
Viorel Popescu
Info - 3 points