52664.pdf
Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots. The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using rem...
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InTechOpen
2021
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oapen-20.500.12657-492142021-11-23T14:00:16Z Chapter Above‐Ground Biomass Estimation with High Spatial Resolution Satellite Images Cristina Gonçalves, Ana Sousa, Adélia Marques daSilva, José R. QuickBird, multi‐resolution segmentation, crown horizontal projection, forest inventory, regressions bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THX Alternative & renewable energy sources & technology Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots. The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using remote sensing data is presented. A case study is given with an innovative methodology to estimate above‐ground biomass based on crown horizontal projection obtained with high spatial resolution satellite images for two evergreen oak species. The linear functions fitted for pure, mixed and both compositions showed a good performance. Also, the functions with dummy variables to distinguish species and compositions adjusted had the best performance. An error threshold of 5% corresponds to stand areas of 8.7 and 5.5 ha for the functions of all species and compositions without and with dummy variables. This method enables the overall area evaluation, and it is easily implemented in a geographic information system environment. 2021-06-02T10:09:37Z 2021-06-02T10:09:37Z 2017 chapter ONIX_20210602_10.5772/65665_328 https://library.oapen.org/handle/20.500.12657/49214 eng application/pdf n/a 52664.pdf InTechOpen 10.5772/65665 10.5772/65665 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-EE-2015-3-MarketUptake 696140 open access |
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English |
| description |
Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots. The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using remote sensing data is presented. A case study is given with an innovative methodology to estimate above‐ground biomass based on crown horizontal projection obtained with high spatial resolution satellite images for two evergreen oak species. The linear functions fitted for pure, mixed and both compositions showed a good performance. Also, the functions with dummy variables to distinguish species and compositions adjusted had the best performance. An error threshold of 5% corresponds to stand areas of 8.7 and 5.5 ha for the functions of all species and compositions without and with dummy variables. This method enables the overall area evaluation, and it is easily implemented in a geographic information system environment. |
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2021 |
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