60955.pdf
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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InTechOpen
2021
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oapen-20.500.12657-492662021-11-23T14:00:13Z Chapter Absolute Density Measures Estimation Functions with Very High Resolution Satellite Images Cristina Gonçalves, Ana M. O. Sousa, Adélia quickBird image, multi-resolution segmentation, crown horizontal projection, absolute density measures, regression bic Book Industry Communication::R Earth sciences, geography, environment, planning::RB Earth sciences 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. 2021-06-02T10:10:56Z 2021-06-02T10:10:56Z 2018 chapter ONIX_20210602_10.5772/intechopen.76817_380 https://library.oapen.org/handle/20.500.12657/49266 eng application/pdf n/a 60955.pdf InTechOpen 10.5772/intechopen.76817 10.5772/intechopen.76817 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-EE-2015-3-MarketUptake 696140 open access |
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English |
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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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