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Sensing and Modeling Physical Geography Worksheet
Sensing and Modeling Physical Geography Worksheet
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Order Number |
636738393092 |
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Type of Project |
ESSAY |
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Writer Level |
PHD VERIFIED |
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Format |
APA |
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Academic Sources |
10 |
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Page Count |
3-12 PAGES |
Instructions/Descriptions
Sensing and Modeling Physical Geography Worksheet
Topic 1: Sensing and modeling
Watch: What is Remote Sensing?
Watch at least one of the following three videos:
Satellite Remote Sensing for Environmental Protection
What NASA Knows from Decades of Earth Observations [NASA Scientific Visualization Studio]
How can earth observations help predict next pandemics? [NASA Scientific Visualization Studio]
Some of the most important technologies currently used to understand and monitor the Earth, including its atmosphere, oceans, polar regions, forests, cropland, urban areas, etc., ‘remote sensing’. Much of my professional work and research is in remote sensing. I decided to come to SJSU in 2002 largely because it had remote sensing courses in the catalog (geog181 and geog182) upon which I could build. That is precisely what I did for several years, developing over fifty lab exercises using state of the art software for practical applications that professionals in the earth and social scientists, business and urban planners, and related disciplines may be called upon to perform in the workplace. A number of Masters Theses included substantive work with remote sensing in our lab.
Recommended: https://scholarworks.sjsu.edu/geog_grad/
Let’s take a look at Michelle Fong’s Masters’ thesis of 2011.
Recommended: Creating an Agent-based Model to Examine Spatial Behavior of Enricher Sinensis
https://scholarworks.sjsu.edu/etd_theses/4089/
Watch: An agent-based model of Enricher Sinensis
The low resolution of the video (my fault) makes the graphs difficult to read, but you should get the idea. This is the system described in. But the general operation is clear, and the process is not difficult to understand. The video portrays a dynamical agent-based simulation of an invasive crab species in San Francisco Bay. At each time step of the simulation, each simulated crab moves around in search of food or spawning grounds, depending on its age. Adult and juveniles are indicated in the model by black and red dots, respectively. Each simulated crab is born and interacts with its environment, moving in response to a local sense of conditions. If it meets those conditions and survives, it may reproduce, and all eventually die. The age of each natural death and other variables in the system are chosen randomly from normal distributions based on observations of real data. The simulated environment is a space-filling grid of values derived from remotely sensed or directly recorded data regarding water temperature, sediment content, chlorophyll content, etc. These values change throughout the entire bay each month, based on the corresponding month’s typical values derived from twelve Landsat TM data scenes spanning a typical year. Each simulation cycles repeatedly through this typical year.
Due to an intentionally introduced degree of randomness, each simulation is different. Many simulations can be run in batches and their statistics compiled for meta-analysis. You can imagine how the data and techniques involved in this sort of model may be applied to a wide variety of settings, using human beings for example as mobile agents. [Order Now]
Watch: Agent-Based Modeling: An Initial Exploration [Complexity Explorer]
The Complexity Explorer channel has a series of connected videos on agent-based modeling, including descriptions of Net Logo, the system that Michelle and I used. They also have additional series on Net Logo itself, dynamical systems and chaos, the origins of life, machine learning, etc. The source of this channel, the Santa Fe Institute, has long been at the forefront of complexity research.
Recommended: Agent-Based Modeling: What is Agent-Based Modeling? [Complexity Explorer]
Topic 2: The Atmosphere
Watch: Water Vapor Fuels Hurricane
https://ca.pbslearningmedia.org/resource/nves.sci.earth.hurricane/water-vapor-fuels-hurricanes/
Watch: NOVA: Earth from Space | Monitoring Earth’s Water Vapor
https://ca.pbslearningmedia.org/resource/nves.sci.earth.vapor/monitoring-earths-water-vapor
Watch: Careers in Atmospheric Science [NCAR Earth Observing Laboratory]
Access the text Fundamentals of Physical Geography
http://www.physicalgeography.net/fundamentals/contents.html
Homework 6:
What is remote sensing? Described what you’ve learned from at least one of the three additional remote sensing videos.
What agent-based modeling? How does it work? Find some examples of how agent-based models may help us to understand behavior.
What is the primary function of the Aqua satellite? How does it monitor the production of water vapor?
Describe the sort of careers in atmospheric science from in the video that you find most interesting.
Chapter 7 Essay Questions 3, 4, 5, 10, 13
7.3. Why is ozone important for life on Earth? Where is it found and how is it formed? How is human activity influencing this important atmospheric gas?
7.4. How is the incoming shortwave solar radiation from the Sun modified by the atmosphere and the Earth’s surface?
7.5. Describe the difference between the following two terms: heat and temperature.
7.10. What is a hurricane? Where, when and why does it form? How is global warming likely to influence hurricane intensity and frequency?
7.13. Discuss the formation and characteristics of the various types of thunderstorms (see also the videos)
Sensing and Modeling Physical Geography Worksheet
