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slidaRtools

Tools for lidar simulation and lidar processing

Introduction

The slidaRtools package provides a couple of useful functions to simulate and process lidar data of forests. Lidar simulation means to create discrete lidar point clouds or large footprint waveforms for a given tree list using their positions, crown properties and a Beer-Lambert light extinction approach. Lidar data processing means operations like point cloud thinning, conversions between XYZ-tables, rasters, matrices and arrays, spatial indexing, vertical profile delineation, etc.

Demo

A demo script can be found inside the folder DemoWorkflow, along with a small example dataset.

References

  • Knapp, N., Fischer, R., Huth, A., 2018a. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states. Remote Sens. Environ. 205, 199–209. https://doi.org/10.1016/j.rse.2017.11.018
  • Knapp, N., Huth, A., Kugler, F., Papathanassiou, K., Condit, R., Hubbell, S.P., Fischer, R., 2018b. Model-assisted estimation of tropical forest biomass change: A comparison of approaches. Remote Sens. 10, 1–23. https://doi.org/10.3390/rs10050731
  • Rödig, E., Knapp, N., Fischer, R., Bohn, F.J., Dubayah, R., Tang, H., Huth, A., 2019. From small-scale forest structure to Amazon-wide carbon estimates. Nat. Commun. 10, 1–7. https://doi.org/10.1038/s41467-019-13063-y
  • Fischer, R., Knapp, N., Bohn, F., Shugart, H.H., Huth, A., 2019. The Relevance of Forest Structure for Biomass and Productivity in Temperate Forests: New Perspectives for Remote Sensing. Surv. Geophys. https://doi.org/10.1007/s10712-019-09519-x
  • Knapp, N., Huth, A., Fischer, R., 2021. Tree Crowns Cause Border Effects in Area-Based Biomass Estimations from Remote Sensing. Remote Sens. 13, 1592. https://doi.org/10.3390/rs13081592
  • Bauer, L., Knapp, N., Fischer, R., 2021. Mapping Amazon forest productivity by fusing GEDI lidar waveforms with an individual-based forest model. Remote Sens. 13. https://doi.org/10.3390/rs13224540
  • Bruening, J.M., Fischer, R., Bohn, F.J., Armston, J., Armstrong, A.H., Knapp, N., Tang, H., Huth, A., Dubayah, R., 2021. Challenges to aboveground biomass prediction from waveform lidar. Environ. Res. Lett. 16, 125013. https://doi.org/10.1088/1748-9326/ac3cec

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Tools for lidar simulation and lidar processing

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GPL-3.0, Unknown licenses found

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