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Rob Fatland gave this presentation to the GeoCENS SSC Workshop on the current efforts, projects, and tools towards advancing environmental science in Banff, AB, September 23, 2010.
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Source Talk: Results from an Atlantic Rainforest Micrometeorology Sensor Network Pilot Study
Humberto da Rocha, Professor Titular, University of São PauloAndreas Terzis, Associate Professor, Johns Hopkins UniversityRob Fatland, Program Manager, Microsoft Research
Microsoft ResearchEfforts, projects, and tools towards advancing environmental science
Presented by Rob Fatland: [email protected] Research “Earth Energy and Environment” themeBrazil Rainforest Sensor Network projectMODIS AzureWorldwide TelescopeSciScopeOther tools and projectsNext steps
General Idea (getting to the science)
Data Systems FIELD
sample
in situ
model
remote
proxies
• Replicate methods + solutions
• Iterate iterate iterate
• Join the model ecosphere
• Communicate
• Educate
• Policy impact
• Citizen science
Specifically Mata Atlantica Micrometeorology
• Is the data system robust?• Is the data scientifically valid?• Can this experiment be adopted or replicated elsewhere?
Physical system
Sensor networks: In practice
• Computers are reliable and foolproof
• Networks are reliable and foolproof• Therefore use powerful network
nodesAlternative idea• Simple is good• Simple uses little power• But still have to figure out where to put
the smarts$$$
011101
tradeoffs
Johns Hopkins: Life Under Your Feet:
Koala
Sensor networks: In practice
• The network node
BatteryPack
EnclosureMounting Hardware
Mote
Dessicant
)))(((Transparent plastic
Sensors: InternalSensors: External
Radio antenna
Sensor networks: In practice
The network node
Sensor networks 2: Koala in practice
Gateway mote
Data recovery operation:Once every 24--48 hours
The network
Data manipulation using .NET
Data and Results
Data and Results
Black: Over 32 days how do 3 adjacent sensor vary compared to 0.1 deg Celsius?
Red (right vertical axis): What is the temperature in the canopy?
0.1
0.2
0.3
10 days
20 days
Temperature degrees Celsius
Temperature averaged standard deviations, deg Celsius?
Summary
• 20 million data values: One small step • Data appears to be scientifically valid• 100% mote survival rate• Study site ready for further studies• Scalability an open question
Microsoft ResearchEfforts, projects, and tools towards advancing environmental science
Presented by Rob Fatland: [email protected] Research “Earth Energy and Environment” themeBrazil Rainforest Sensor Network projectMODIS AzureWorldwide TelescopeSciScopeOther tools and projectsNext steps
Data preparation
• MODIS– MOD04 (aerosol)– MOD05 (precipitable water)– MOD06 (cloud)– MOD07 (atmospheric profile)– MOD11 (land surface temperature)– MCD12 (land cover)– MOD13 (vegetation index)– MCD15 (LAI)– MCD43 (albedo)
Upscale to continental scale
Upscale to the global scale
Questions
• 1. How do spatial-temporal patterns of ET and GPP vary over multiple years at global scale
• 3. How does global dimming/brightening influence GPP, ET, WUE and LUE
• 4. How does diffuse radiation modulate GPP, ET, WUE and LUE?
• ET = Evapotranspiration• GPP = Gross Primary Production (some of which is consumed by the
producer during nighttime respiration)• NPP = Net Primary Production (after producer has respired, hence
towards biomass)• WUE = Water Use Efficiency• LUE = Light Use Efficiency
Microsoft ResearchEfforts, projects, and tools towards advancing environmental science
Presented by Rob Fatland: [email protected] Research “Earth Energy and Environment” themeBrazil Rainforest Sensor Network projectMODIS AzureWorldwide Telescope: DemoSciScopeOther tools and projects
Microsoft ResearchEfforts, projects, and tools towards advancing environmental science
Presented by Rob Fatland: [email protected] Research “Earth Energy and Environment” themeBrazil Rainforest Sensor Network projectMODIS AzureWorldwide TelescopeSciScope: DemoOther tools and projects
Microsoft ResearchEfforts, projects, and tools towards advancing environmental science
Presented by Rob Fatland: [email protected] Research “Earth Energy and Environment” themeBrazil Rainforest Sensor Network projectMODIS AzureWorldwide TelescopeSciScopeOther tools and projects
Other tools and projects• Excel Add-Ins: Web Charts, NodeXL, Power Pivot• Worldwide Telescope Earth: Imagery, topography, vector and
point data• Coastal Glacier project• Building machinery to couple BGC from terrestrial
watersheds to marine productivity• Building a data analysis stack to work across multiple
spectral methods (absorption, MS, fluorescence, NMR)• TRIDENT workflow• Stream Insight, SQL Server Spatial, LINQ, Azure, WM7• X-Express• .NET and Visual Studio
