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Introduction to Remote Sensing for Scenario-Based Ecoforecasting

Times: 
12:00-1:00 p.m. EDT (UTC-4)

As climates shift and change, ecosystems respond in a variety of ways. Assessing the ecological impacts of a changing climate is crucial for natural resource management decision-making. NASA Earth observations can be used to help make these decisions. This four-week webinar series, in collaboration with the USGS North Central Climate Center, will include an overview of the satellites, sensors, and tools relevant to ecological forecasting; available climate products and data for ecological modeling; scenario planning; and the application of modeling for species distribution and state-and-transition simulations.

Learning Objectives: 

By the end of this training, attendees will be able to:

  • Understand what ecoforecasting is and its applications
  • Understand how climate data supports future projections of management targets
  • Articulate how scenario planning can be utilized for decision-making with multiple sources of uncertainty
  • Integrate qualitative and quantitative tools to support resource management decision-making in situations with high uncertainty
Course Format: 
  • Four, one-hour sessions 
  • Sessions will be held on Thursdays in September, at 12:00-1:00 p.m. EDT (UTC-4)
  • A certificate of completion will be provided to participants that attend all live webinars and complete all homework assignments. Note: Certificates of completion only indicate the attendee participated in all aspects of the training. They do not imply proficiency on the subject matter, nor should they be seen as a professional certification.
Prerequisites: 

Complete Fundamentals of Remote Sensing webinars Sessions 1 and 2A, or equivalent experience. Attendees that do not complete prerequisites may not be properly prepared for the pace during the training.

Audience: 

Local, regional, state, federal, and international organizations charged with maintaining healthy ecosystems, and interested in ecological forecasting using satellite imagery and climate data. Governmental and non-governmental organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.

Registration Information: 

This webinar series is now at capacity and registration is closed. There is no cost for the webinar, but you must register to view the recordings.

Course Agenda: 
Session One: Overview of Ecological Forecasting

September 7, 2017

An introduction ot the use of remotely-sensed data for predictors in ecological forecasting; an overview of example sensors and tools relevant to ecological forecasting (MODIS NDVI, VIIRS Land products, AppEARS); and case study examples.

English

Spanish

Session Two: Overview of Climate Science and Data

September 14, 2017

An introduction to gridded historic and projected climate data; and considerations of appropriate use of climate data in ecological impact assessments, including downscaling (statistical vs. dynamical) and bias correction methods.

English

Spanish

Session Three: Overview of Scenario Planning

September 21, 2017

Scenario planning as a tool for grappling with the uncertainty of climate change and other factors, and how those affect management objectives; selecting a small set of climate futures; considering additional, non-climate factors; developing scenarios of climate impacts and potential management responses; and case study examples.

English

Spanish

Session Four: Overview of Species Distribution and State-And-Transition Simulation Modeling

September 28, 2017

An introduction to combining ecological response models; an overview of species distribution modeling, including ecological response modeling technique examples, an explanation of correlative species distribution models, and an introduction to VisTrails; limitations of correlative approaches; and ecological simulation modeling, including an overview of simulation modeling approaches and examples, state-and-transition conceptual models and simulations, and an introduction to ST-Sim software.

English

Spanish

Application Area: 
Available Languages: 
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