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Evaluating the efficiency of wind protection by windbreaks based on remote sensing and geographic information systems

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Abstract

Windbreaks are a major component of and play an important role in agroforestry ecosystems. One of the most important functions is to reduce wind erosion and protect crops from wind damage. In this study, we discussed a method to evaluate the efficiency of wind protection by a windbreak. First, we chose a windbreak model that was only related to the structural parameters of the windbreak. There were windbreak average widths (w), optical porosities (θo), barrier heights (h) and distances from the barrier along the wind direction xh. Then, we established a method that was used to extract the inputs of the windbreak model by using remote sensing (RS) and a geographic information system (GIS). The windbreak average width (w) was extracted by using object-based image analysis with an average accuracy of 72.428%. The optical porosity (θo) and barrier height (h) were estimated by using quantitative remote sensing technology with average accuracy of 86.9592% and 79.0497%, respectively. Finally, the efficiency of windbreak wind protection was evaluated by using this windbreak model based on RS and GIS technology. The results indicated that this windbreak model can be used to evaluate the efficiency of the wind protection of the windbreak by considering the properties of the windbreak itself. This study can provide a useful guide for studying the wind protection provided by windbreaks based on spatial and temporal scales using RS and GIS.

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Notes

  1. * Correlation is significant at the 95% confidence level.

  2. ** Correlation is significant at the 99% confidence level.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (Nos. 31971580, 31870621, 31500519), the Fundamental Research Funds for the Central Universities of China (Nos. 2572019CP12, 2572019BA10), and the China Postdoctoral Science Foundation (No. 2019M661239).

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Correspondence to Fengri Li.

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Appendix

Appendix

See Table 4.

Table 4 Eigenvalues and the accumulated variance of the principal component analysis based on GF-1 used in this study

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Yang, X., Li, F., Fan, W. et al. Evaluating the efficiency of wind protection by windbreaks based on remote sensing and geographic information systems. Agroforest Syst 95, 353–365 (2021). https://doi.org/10.1007/s10457-021-00594-x

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  • DOI: https://doi.org/10.1007/s10457-021-00594-x

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