1. Using high resolution satellite imagery to improve sweet potato crop statistics in Uganda L. Claessens, P. Zorogastúa, R. Quiroz, M. Potts & S. Namanda

2. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

3. AFRICA

4. UGANDA

6. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

9. Source: FAO

10. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

13. B RGNEAR IRMID INFRARED 5001000150020002500 0 10 20 30 40 50 Wavelength in nanometers % Reflectance water Green vegetation Dry vegetation Soil Generic spectral signatures

14. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

15. SPOT Satellite Source: www.spotimage.comwww.spotimage.com

16. SOURCE: SPOTIMAGE-CNESS Kumi Spot Image 06-May-06

17. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital processing Results Conclusions

20. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

23. Sweet potato plot Distribution of Sweet potato fields around Kumi town

24. Introduction Study area : characteristics Physical bases of remote sensing Imagery Digital image processing Results Conclusions

25. Kumi Land cover - land use

27. THANKS THANKS