Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
What Can UAV(S) Do That Cheap
Satellites (And Field Scientists)
Can’t?
Lyndon Estes
Princeton University
What is a UAS?
Large
Medium
Small
Micro
Anderson & Gaston, 2013
Fixed Wing
Rotary
Buoyant
3
Extent
Error/Bias
Our Current Observing Methods
The Mountain Bongo Antelope
Tragelaphus eurycerus isaaci
Why I Got Interested in UAVs
Prob.	
  
occurrenc
e
Estes	
  et	
  al,	
  2012,	
  Animal	
  Conservati
 Bongo	
  presence	
  observations	
  w/o	
  field	
  
data
Bongo	
  presence	
  observations	
  w/field	
  data
Non-­‐pre...
Initial analysis of Bongo Habitat Selection
Understorey structure – 400 m2
-> Field data
Patch structure – 20 ha
-> ASTER ...
10
20
30
40
50
60
70
80
10 20 30 40 50 60 70 80 90
Observed	
  SCI	
  score
Predicted	
  SCI	
  score
X
o	
  Non-­‐presenc...
Structural	
  Complexity	
  Index
Canopy
“Middlestorey”
Herbaceous	
  understorey
?
✓
~450	
  m
Hand	
  launch	
  a	
  small	
  UAV…
…And	
  collect	
  high	
  quality	
  data	
  	
  
in	
  transects,	
  rath...
Estes, Chaney, Herrera-Estrada, Sheffield, Caylor, Wood, 2014, ERL
Bringing the Satellite Closer to The Field
Beat down er...
Calibrate/Validate Crop Models
Generalized Additive Model of Maize Yield
Process-­‐based	
  Model	
  

accuracy	
  at	
  400	
  km2
DSSAT
Accuracy	
  at	
  Provincial	
  Scale
UAVs	
  over	
  agricultural	
  landscapes
• Crop	
  type	
  
• Sowing	
  date	
  
• Flowering	
  
• NDVI/LAI	
  –	
  week...
18
Crop model -> yield + LAI
MODIS
Landsat
Crop	
  Fields	
  in	
  Eastern	
  Province,	
  Zambia
Daily
Every	
  16	
  days
21
Extent
Error/Bias
Environment Observing Methods
For effective use of UAS
Need:	
  	
  
1. Geometrically	
  
2. Optically	
  
3. Automated	
  
Rectification	
  of	
  colle...
Course Goals
By end of week:
1. Understand what can (and probably cannot) be done
with UAS
2. Learn how to plan and fly mi...
Lecture by Dr. Lyndon Estes
Lecture by Dr. Lyndon Estes
Upcoming SlideShare
Loading in …5
×

Lecture by Dr. Lyndon Estes

500 views

Published on

What Can UAV(S) Do That Cheap Satellites (And Field Scientists) Can’t?

Published in: Education
  • Be the first to comment

  • Be the first to like this

Lecture by Dr. Lyndon Estes

  1. 1. What Can UAV(S) Do That Cheap Satellites (And Field Scientists) Can’t? Lyndon Estes Princeton University
  2. 2. What is a UAS? Large Medium Small Micro Anderson & Gaston, 2013 Fixed Wing Rotary Buoyant
  3. 3. 3
  4. 4. Extent Error/Bias Our Current Observing Methods
  5. 5. The Mountain Bongo Antelope Tragelaphus eurycerus isaaci Why I Got Interested in UAVs
  6. 6. Prob.   occurrenc e Estes  et  al,  2012,  Animal  Conservati
  7. 7.  Bongo  presence  observations  w/o  field   data Bongo  presence  observations  w/field  data Non-­‐presence  observations
  8. 8. Initial analysis of Bongo Habitat Selection Understorey structure – 400 m2 -> Field data Patch structure – 20 ha -> ASTER + Spectral Mixture Analysis ~450 m Estes et al, 2008, Remote Sensing of Environment
  9. 9. 10 20 30 40 50 60 70 80 10 20 30 40 50 60 70 80 90 Observed  SCI  score Predicted  SCI  score X o  Non-­‐presence  obs    (training) +  Bongo  obs  (test)          Mean  of  non-­‐presence  obs        Mean  of  bongo  obs Model  –  5  ASTER-­‐derived  predictors   3  Spectral  Mixture  Analysis   2  texture  variables   R2  =  0.46   RMSE:      Training  =  17%      Test  =  19%   Estes  et  al,  2010  (Remote  Sensing  Environment) Mapping  Structural  Complexity  Indices
  10. 10. Structural  Complexity  Index Canopy “Middlestorey” Herbaceous  understorey ? ✓
  11. 11. ~450  m Hand  launch  a  small  UAV… …And  collect  high  quality  data     in  transects,  rather  than  slogging  it   • Understorey  +  canopy   • 3  dimensions   • Micro  –  landscape  scale   • Every  few  weeks
  12. 12. Estes, Chaney, Herrera-Estrada, Sheffield, Caylor, Wood, 2014, ERL Bringing the Satellite Closer to The Field Beat down error in remotely sensed yield estimates Crop-specific NDVI signature Estes et al, 2013, Glob Ecol Biogeog, Glob Change Biol
  13. 13. Calibrate/Validate Crop Models Generalized Additive Model of Maize Yield
  14. 14. Process-­‐based  Model  
 accuracy  at  400  km2 DSSAT
  15. 15. Accuracy  at  Provincial  Scale
  16. 16. UAVs  over  agricultural  landscapes • Crop  type   • Sowing  date   • Flowering   • NDVI/LAI  –  weekly  to  bi-­‐weekly   • Microtopography   • Surface  soil  moisture?
  17. 17. 18 Crop model -> yield + LAI
  18. 18. MODIS Landsat Crop  Fields  in  Eastern  Province,  Zambia Daily Every  16  days
  19. 19. 21
  20. 20. Extent Error/Bias Environment Observing Methods
  21. 21. For effective use of UAS Need:     1. Geometrically   2. Optically   3. Automated   Rectification  of  collected  data  in  space  &  time  domains 23
  22. 22. Course Goals By end of week: 1. Understand what can (and probably cannot) be done with UAS 2. Learn how to plan and fly mission 3. Successfully post-process imagery, and understand key factors to correct 4. Basic analysis of results

×