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E C O H Y D R O L O G I C A L
A P P L I C AT I O N S O F U AV S
K E L LY C A Y L O R , P R I N C E T O N U N I V E R S I T...
S PAT I A L E C O H Y D R O L O G Y R E S E A R C H
Q U E S T I O N S
W H A T A R E T H E E C O L O G I C A L A N D H Y D ...
E C O H Y D R O L O G I C A L O R G A N I Z AT I O N
Relative controls on surface hydrological patterns
Geom
orphological
...
PAT T E R N S A R E S C A L E - D E P E N D E N T
Caylor & Shugart, 2004
P R O C E S S E S A R E S C A L E - D E P E N D E N T
Caylor & Shugart, 2004
SCALE-DEPENDENCE + NON-LINEARITY
Small-scale spatial pattern and organization may have substantial
impacts on landscape-sc...
U AV B A S E L I N E D ATA F O R
E C O H Y D R O L O G I C A L M O D E L I N G
Digital Elevation Models, Thermal, NDVI:
L ...
Digital Elevation Models, Thermal, NDVI, (LIDAR):
L A N D S C A P E - S C A L E M O D E L S O F H I L L S L O P E PA T T E...
Digital Elevation Models, Thermal, NDVI, (LIDAR):
L A N D S C A P E - S C A L E M O D E L S O F H I L L S L O P E PA T T E...
Pandamatenga Agricultural Station,
Botswana
(18.66S 25.50E)
Spatial mosaic of landscape patches
can be derived from UAV da...
11
Canopy Mapping, Patch/Landcover Classification:
PA T C H - B A S E D M O D E L S O F S O I L M O I S T U R E D Y N A M ...
Vegetation is organized along a continuum from over-
dispersed (uniform) to under-dispersed (clumped)
uniform random
clump...
Under-dispersed
Over-dispersed
Poisson
No variance
Good et al., Proc Roy Soc A, 2013
Under-dispersed
Over-dispersed
Drylan...
U AV O P P O R T U N I T I E S D ATA F O R
E C O H Y D R O L O G I C A L R E S E A R C H
Digital Elevation Models, Thermal...
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Lecture by Prof. Kelly Caylor

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ECOHYDROLOGICAL APPLICATIONS OF UAVS

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Lecture by Prof. Kelly Caylor

  1. 1. E C O H Y D R O L O G I C A L A P P L I C AT I O N S O F U AV S K E L LY C A Y L O R , P R I N C E T O N U N I V E R S I T Y S U M M E R S C H O O L O F H Y D R O L O G Y A P P L I E D C O U R S E O N U A V S F O R E N V I R O N M E N TA L M O N I T O R I N G M A T E R A S U M M E R C O U R S E , 2 0 1 5
  2. 2. S PAT I A L E C O H Y D R O L O G Y R E S E A R C H Q U E S T I O N S W H A T A R E T H E E C O L O G I C A L A N D H Y D R O L O G I C A L S I G N AT U R E S O F O R G A N I Z A T I O N O F V E G E TA T I O N PA T T E R N W I T H I N L A N D S C A P E S ? W H A T K I N D S O F E C O L O G I C A L A N D H Y D R O L O G I C A L D Y N A M I C S C A N L E A D T O T H E D E V E L O P M E N T O F S U C H PA T T E R N S ? W H A T D O T H E S E C O U P L E D PA T T E R N S A N D P R O C E S S E S T E L L U S A B O U T T H E P O T E N T I A L F O R F U T U R E C H A N G E I N WA T E R - L I M I T E D E C O S Y S T E M S ?
  3. 3. E C O H Y D R O L O G I C A L O R G A N I Z AT I O N Relative controls on surface hydrological patterns Geom orphological Ecological Clim atological High Low High Low High Low River basins Tree/grass mosaic Hillslopes Regional LandscapePatch UAVs
  4. 4. PAT T E R N S A R E S C A L E - D E P E N D E N T Caylor & Shugart, 2004
  5. 5. P R O C E S S E S A R E S C A L E - D E P E N D E N T Caylor & Shugart, 2004
  6. 6. SCALE-DEPENDENCE + NON-LINEARITY Small-scale spatial pattern and organization may have substantial impacts on landscape-scale energy and water balance of vegetation f(E [x]) 6= E [f(x)](Jensen, 1906) RADIATION TEMPERATURE WATER POTENTIAL CHARACTERISTIC STOMATAL RESPONSES TO ENVIRONMENTAL VARIATION (Figures from Jarvis, 1976)
  7. 7. U AV B A S E L I N E D ATA F O R E C O H Y D R O L O G I C A L M O D E L I N G Digital Elevation Models, Thermal, NDVI: L A N D S C A P E - S C A L E M O D E L S O F H I L L S L O P E PA T T E R N & P R O C E S S E S Canopy Mapping, Patch/Landcover Classification: PA T C H - B A S E D M O D E L S O F S O I L M O I S T U R E D Y N A M I C S & V E G E TA T I O N WA T E R U S E / G R O W T H Feature Extraction & Image Morphological Analysis: I N D I V I D U A L - B A S E D M O D E L S O F T R E E / G R A S S C O M P E T I T I O N
  8. 8. Digital Elevation Models, Thermal, NDVI, (LIDAR): L A N D S C A P E - S C A L E M O D E L S O F H I L L S L O P E PA T T E R N & P R O C E S S E S Slopes - 3 to 7%
  9. 9. Digital Elevation Models, Thermal, NDVI, (LIDAR): L A N D S C A P E - S C A L E M O D E L S O F H I L L S L O P E PA T T E R N & P R O C E S S E S Characterizing hillslope flow convergence U A V- D E R I V E D M A P S O F H I L L S L O P E S L O P E S A N D E L E VA T I O N C A N C L A R I F Y H O W M I C R O T O P O G R A P H Y A N D V E G E TA T I O N I N T E R A C T
  10. 10. Pandamatenga Agricultural Station, Botswana (18.66S 25.50E) Spatial mosaic of landscape patches can be derived from UAV data. 698 mm Caylor, 2005 Canopy Mapping, Patch/Landcover Classification: PA T C H - B A S E D M O D E L S O F S O I L M O I S T U R E D Y N A M I C S & V E G E TA T I O N WA T E R U S E / G R O W T H
  11. 11. 11 Canopy Mapping, Patch/Landcover Classification: PA T C H - B A S E D M O D E L S O F S O I L M O I S T U R E D Y N A M I C S & V E G E TA T I O N WA T E R U S E / G R O W T H Spatial mosaic of landscape patches can be used to infer vegetation function Caylor & Shugart, 2004Caylor, 2005
  12. 12. Vegetation is organized along a continuum from over- dispersed (uniform) to under-dispersed (clumped) uniform random clumped Increasing variance in density Feature Extraction & Image Morphological Analysis: I N D I V I D U A L - B A S E D M O D E L S O F T R E E / G R A S S C O M P E T I T I O N
  13. 13. Under-dispersed Over-dispersed Poisson No variance Good et al., Proc Roy Soc A, 2013 Under-dispersed Over-dispersed Drylands Patterns of LAI means and standard deviation organized by landcover (CONUS) Impact of spatial pattern on expected water use of vegetation Feature Extraction & Image Morphological Analysis: I N D I V I D U A L - B A S E D M O D E L S O F T R E E / G R A S S C O M P E T I T I O N
  14. 14. U AV O P P O R T U N I T I E S D ATA F O R E C O H Y D R O L O G I C A L R E S E A R C H Digital Elevation Models, Thermal, NDVI: U N D E R S TA N D I N G D Y N A M I C S O F H I L L S L O P E PA T T E R N F O R M A T I O N A N D S U R FA C E H Y D R O L O G I C A L P R O C E S S E S Canopy Mapping, Patch/Landcover Classification: I N F E R R I N G PA T C H - B A S E D D Y N A M I C S O F S O I L M O I S T U R E & V E G E TA T I O N / C R O P WA T E R U S E / G R O W T H Feature Extraction & Image Morphological Analysis: M A P P I N G I N D I V I D U A L - B A S E D PA T T E R N S O F V E G E TA T I O N / C R O P S & I N F E R R I N G C O M P E T I T I V E E C O H Y D R O L O G I C A L I N T E R A C T I O N S

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