individual tree counting using high resolution remotely sensed images

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2. OBJECTIVESOur main goal was to count individual crows of Eucalyptus treesusing high resolution aerial images acquired over forest plantations.Specific Objective:Evaluate the suitability of simple approaches to imageprocessing in order to achieve the main goal. Specifically, imageenhancement using the Lee filter and unsupervised clusteringusing the Isodata algorithm were tested.
3. BACKGROUND3.1 Forestry activities and Remote SensingHow are forestry data obtained nowadays?Field samplingError, cost and timeWhat are the benefits of using Remote Sensing?Complete aerial coverageError, cost and timeAlternative and repeatable methodsIntegration with GIS
Page 2 and 3: PRESENTATION OVERVIEW• Introducti
Page 6 and 7: 3. BACKGROUND3.2 Why counting trees
Page 8 and 9: 4. MATERIAL AND METHODS4.2 Methodol
Page 10 and 11: 4. MATERIAL AND METHODSWINDOW: 5X5
Page 12 and 13: 4. MATERIAL AND METHODS
Page 14 and 15: 5. RESULTS5.1 Class that represente
Page 16 and 17: 5. RESULTS5.3 Comissiom Errors
Page 18 and 19: 6. CONCLUSIONSA methodological appr
Page 20: THANK YOU !Contacts:fredreis1@gmail

individual tree counting using high resolution remotely sensed images

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