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structure from motion
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Description
Integrates multiple spatial data layers including lidar, airborne geophysics, hyperspectral remote sensing, and satellite data to characterize hillslope properties. Computes average values and percentage coverage of categorical variables within each hillslope.
Typical Equipment
- Lidar DEM
- AEM survey data
- NEON data products
- POLARIS soil database
- USGS land-cover map
Output Measurements
- hillslope topographic metrics
- vegetation indices
- bedrock properties
- soil characteristics
- land cover percentages
Papers Using This Protocol (9)
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Controls from above and below: Snow, soil, and steepness drive diverging trends of subsurface water and streamflow dynamics
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Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions
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On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes
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Watershed zonation through hillslope clustering for tractably quantifying above-and below-ground watershed heterogeneity and functions
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Watershed zonation through hillslope clustering for tractably quantifying above-and below-ground watershed heterogeneity and functions
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Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics
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Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control
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Investigating Microtopographic and Soil Controls on a Mountainous Meadow Plant Community Using High-Resolution Remote Sensing and Surface Geophysical Data
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