
Earth Observation Day, April 20, 2022
Presented by the GeoTech Center!

Schedule
All sessions are listed in ET.
11:00am-11:45am
The Endangered Biosphere, Landforms, and the Half-Earth Project, Dennis Liu, Half-Earth Project, E.O. Wilson Biodiversity Foundation, Recording
12:00pm-12:45pm
We put LiDAR, multispectral, and thermal sensors on a drone. Now what?, Adam Zylka, University of Vermont, Spatial Analysis Laboratory, Recording
1:00pm-1:45pm
Landscape Change Monitoring System & Citizen Science Spatial Data, Peder Nelson, Oregon State University, Recording
2:00pm-2:45pm
Solid Waste Management and Environmental Justice in Massachusetts, Jack Buckley, Center for Student Coastal Research, Recording
3:00pm-3:45pm
Mapping Mars with Rovers, Dr. Fred Calef, JPL NASA, Recording
4:00pm-4:45pm
Earth Observation Data for Conservation Planning: Study Case in Indonesia Oceans Program, Dzimar Akbarur Rokhim Prakoso, The Nature Conservancy, Recording
Registration
After registering, you will receive a confirmation email with Zoom information about joining the meeting.
Presentation Descriptions
The Endangered Biosphere, Landforms, and the Half-Earth Project
Dr. Dennis Liu, Half-Earth Project, E.O. Wilson Biodiversity Foundation
The biosphere, the complex system comprised of all the biodiversity of our planet is very unevenly distributed due to interactions with the physical elements of earth. The Half-Earth Project map is a beautiful interactive 3D GIS product that reveals critical map layers to consider in making conservation decisions in order to reverse the extinction crisis. The Half-Earth Project engages educators, students, conservations, policy-makers, and all citizens in the grand vision of understanding our planet better on the way to saving all species including humans.
We put LiDAR, multispectral, and thermal sensors on a drone. Now what?
Adam Zylka, University of Vermont, Spatial Analysis Lab
The University of Vermont Spatial Analysis Lab will share information about some of the latest Unoccupied Aircraft Systems (UAS or ‘drone’) technology that has been put into use. These new capabilities include data collection and analysis using LiDAR, 10-band multispectral, and thermal sensors. A few example projects using these data will be showcased with applications in environmental monitoring, urban forestry, 3D modeling, inspections, renewable energy generation, and more.
Landscape Change Monitoring System & Citizen Science Spatial Data
Peder Nelson, Oregon State University
Understanding the planetary changes since the first Earth Day is an incredibly challenging endeavor. However, the use of satellite measurements through 50 years of Landsat-based Earth Observations provides a unique opportunity to map, measure, and monitor the planet. Here, I will present a browser-based tool in the Landscape Change Monitoring System (LCMS), that helps you time-travel from 1984 to present in order to visualize land cover changes that are identified from using the generational science of the Landsat Program. But to more fully understand and document the changing Earth, we need participation of all Earthlings therefore, you are invited to learn about citizen science opportunities that contribute ground photos and measurements for the benefit of present and future generations. Together, these geospatial data and tools facilitate students and their communities in the ability to describe, collect, analyze, and report about local places that contributes to national and global solutions.
Solid Waste Management and Environmental Justice in Massachusetts
Jack Buckley, Cohasset Center for Student Coastal Research
Q: How many waste-to-energy (or trash burning plants) do we have in the Commonwealth of MA? A: 7. Q: How many of those 7 are located in proximity to Environmental Justice communities? A: Yup, all 7 of them. This workshop explores how teachers can use ArcGIS Online tools and data to explore a simple question that might be raised in a classroom- where does my trash go? The goal of the workshop is twofold: one, to show how ArcGIS Online enables students to build data supported answers derived by using spatial analysis tools; and two, to help students arrive at more complete and nuanced understandings of environmental justice issues and solutions.
Mapping Mars with Rovers
Dr. Fred Calef, NASA Jet Propulsion Lab
Since 2004, there has been a continuous robotic presence on Mars' surface. Each new mission has lasted longer and gone farther than the previous, taking Mars exploration from "space to sand", providing ground truth for orbiter images, pushing the boundaries of planetary science, and providing reconnaissance for future human missions. Unique science targets have reached into the tens of thousands and distances driven as long as a marathon. Mapping has played a vital role in tracking where the rover is as well as putting putting the myriad of science observations into geologic context and allowed cross-instrument comparison. This talk will discuss how we map Mars at the rover scale and explore new and exciting places on the Red Planet.
Earth Observation Data for Conservation Planning Study Case in Indonesia Oceans Program
Dzimar Akbarur Rokhim Prakoso, The Nature Conservancy
Earth observation data have many advantages to help design and planning in conservation. Recently, Earth observation data elevated the conservation to the next level that using quantitative conservation objectives that use implementation of spatial approach to conduct ecological assessment such as habitat distribution, biodiversity patterns, modelling key-features of conservation and conservation target monitoring etc.
In Indonesia Oceans Program, Spatial approach implement on every layer of conservation process such as define, design and planning that help achieve conservation goals. This mean that earth observation data has a big role for identification of conservation goals, evaluation of the existing protected area network, design of expansion, conservation action implementation, monitoring and maintenance of biodiversity in the protected area and make a prioritization of conservation area.