near surface spectral measurements of the land surface heidi steltzer [email protected]...
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![Page 1: Near surface spectral measurements of the land surface Heidi Steltzer steltzer@nrel.colostate.edu Plant and Ecosystem Ecologist Natural Resource Ecology](https://reader036.vdocuments.us/reader036/viewer/2022062421/56649d805503460f94a63e59/html5/thumbnails/1.jpg)
Near surface spectral measurements of the land surface
Heidi [email protected]
Plant and Ecosystem EcologistNatural Resource Ecology Laboratory (NREL)
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SpecNet – a spectral network
• http://specnet.info
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Advantages of near surface spectral measurements
• Scaling– Spatial
• fine resolution imagery• pure pixels
– Temporal• frequent observations
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Spatial variability in plant coverComplex or brief growing season
Short grass steppe Patterned ground in the Arctic
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NDVI
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Increasing NDVIplot
Multi-spectral digital camera to structure sampling
NDVI is the Normalized Difference Vegetation Index
Images are 20 cm x 20 cm plots in a polar desert ecosystem
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NDVI
0.0 0.2 0.4 0.6 0.80.0
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NDVI
0.2 0.4 0.6 0.80.0
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. D integrifolia. S arctica
NDVInpvs = 0.21)a
)b
wr = 0.98
R2 = 0.82
-Canopy level
observedestimated
New tool: non-destructive measurements of the leaf area index
Steltzer and Welker (2006) Ecology
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Experimental manipulations of climate and other global changes
Alpine tundra
Polar desert
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Time since agriculture ceased (yr)
three eight nineteen0
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Time since agriculture ceased (yr)
three eight nineteen0
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1000between plantsunder plants
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3
69
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Plant cover as a continuous variable
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Phenological variation NDVI vs day of year
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130 140 150 160 170 180 190 200 210 220 230 240 250 260
Day of Year
NDVI
Snow MeltLines are different years, data was collected using a near surface multi-band radiation sensor
Data from Barrow, AK; Huemmrich et al
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Environmental sensor networks
• An LED pyranometer for $20
• Can be converted to measure NDVI or other vegetation indexes
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Needs
• Variables of interest– Vegetation and soils– Microbial communities, biological diversity– Direct and indirect assessment
• models
• Instrumentation– Sensors– Platforms– Sensor networks
• Data– Automated analysis of imagery– Bioinformatics/data management
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Acknowledgements
• National Science Foundation– Office of Polar Programs
• Tetracam Inc.• Joe DeCant• Jeff Welker• Rich Conant• Fred Hummerich and
other Specnetters• Seth Munson• NREL