Estimation of forest parameters using Sentinel 2A data in Pueblo Nuevo, state of Durango
DOI:
https://doi.org/10.29298/rmcf.v12i68.1075Keywords:
English, Basimetric area, aboveground biomass, permanent plots, remote sensing, Sentinel, forest volumeAbstract
The temperate forests demand periodic monitoring in order to reach a sustainable management. The remote sensing makes it possible to indirectly generate estimates under the assumption of a statistical correlation between satellite data and forest parameters. The aim of this work was to estimate the basimetric area (G), the forest volume (Vta) and the aboveground biomass (W), using spectral data from the Sentinel 2A satellite in the San Bernardino de Milpillas Chico Community, Pueblo Nuevo, state of Durango. A correlation analysis was performed between mensuration information from 22 permanent plots for forest and soil research (SPIFyS) and high-resolution spectral information from the Sentinel 2A sensor. Subsequently, a multiple regression model was developed for each forest stand parameter. The highest correlation coefficient (r) was observed in the NDVI with values of 0.77, 0.68 and 0.76 for the forest parameters of Vta, G and W, respectively. The developed models explained 59 % of the total variance observed for Vta (RCME = m3 ha-1), 58 % for W (RCME = 39.29 Mg ha-1) and 51% for G (RCME = 4.40 m2 ha-1). The NDVI was the main predictive variable in three models. The Sentinel 2A data with a resolution of 10 m in combination with mensuration information from SPIFyS showed a good capacity for mapping forest stand parameters in temperate forests.
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