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

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Presentation transcript:

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

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

AFRICA

UGANDA

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

Source: FAO

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

B RGNEAR IRMID INFRARED Wavelength in nanometers % Reflectance water Green vegetation Dry vegetation Soil Generic spectral signatures

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

SPOT Satellite Source:

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

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

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

Sweet potato plot Distribution of Sweet potato fields around Kumi town

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

Kumi Land cover - land use

THANKS THANKS

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