Chapter Absolute Density Measures Estimation Functions with Very High Resolution Satellite Images

Assessment and monitoring of forest structure is frequently done with absolute density measures with field forest inventory data and expansion methods. The development of basal area and the number of trees estimation functions with data derived from very high spatial resolution satellite images enab...

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Main Author: Cristina Gonçalves, Ana (auth)
Other Authors: M. O. Sousa, Adélia (auth)
Format: Book Chapter
Published: InTechOpen 2018
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Online Access:Get Fullteks
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100 1 |a Cristina Gonçalves, Ana  |4 auth 
700 1 |a M. O. Sousa, Adélia  |4 auth 
245 1 0 |a Chapter Absolute Density Measures Estimation Functions with Very High Resolution Satellite Images 
260 |b InTechOpen  |c 2018 
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520 |a Assessment and monitoring of forest structure is frequently done with absolute density measures with field forest inventory data and expansion methods. The development of basal area and the number of trees estimation functions with data derived from very high spatial resolution satellite images enable their short-term and cost-effective evaluation, allowing also the estimation for the area not requiring extrapolation methods. The functions of basal area and the number of trees per hectare are based on crown cover obtained with very high spatial resolution satellite images for two evergreen oaks and umbrella pine. The three tree species are especially important in the agroforestry systems of the Mediterranean region. The linear functions fitted for pure stands of the three species and mixed stands of cork and holm oak and of cork oak and umbrella pine showed a better performance for basal area than for the number of trees per hectare. The inclusion of dummy variables for species composition improved the accuracy of the functions. 
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546 |a English 
650 7 |a Earth sciences  |2 bicssc 
653 |a quickBird image, multi-resolution segmentation, crown horizontal projection, absolute density measures, regression 
773 1 0 |0 OAPEN Library ID: ONIX_20210602_10.5772/intechopen.76817_380  |7 nnaa 
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