ForeStMap News

  • New paper: García, M., Saatchi, S., Ustin, S. & Balzter, H. (2018). Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery. International Journal of Applied Earth Observation and Geoinformation, 66, 159-173. https://doi.org/10.1016/j.jag.2017.11.017.
  • New paper: Silva, C.A., Hudak, A. T., Vierling, L.A., Klauberg, C., García, M., Ferraz, A., Keller, M., Eitel, J. and Saatchi, S. (2017). Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest. Remote Sensing, 9, 1068; doi:10.3390/rs9101068.
  • New paper: Zhao, K., Suarez, J.C., García, M., Hu, T., Wang, C. & Londo, A. Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux. Remote Sensing of Environment. http://dx.doi.org/10.1016/j.rse.2017.09.007.
  • New paper: Silva, C.A., Klauberg, C., Hudak, A.T., Vierling, L.A., Jaafar, W.S.W.M., Mohan, M., García, M., Ferraz, A., Cardil, A. & Saatchi, S.. 2017. Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forest, 8, 254; doi:10.3390/f8070254.
  • ForeStMap at the RSPSoc  2017in London (presentation)
  • New paper: García, M., Saatchi, S., Ferraz, A., Silva, C.A., Ustin, S., Koltunov, A. & Balzter, H. 2017. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR. Accepted in Carbon Balance and Management. DOI: 10.1186/s13021-017-0073-1
  • New paper: García, M., Saatchi, S., Casas, A., Koltunov, A., Ustin, S., Ramirez, C., Garcia-Gutierrez, J. & Balzter, H. Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data. DOI: 10.1002/2015JG003315
  • ForeStMap at the ForestSat 2016 in Chile (presentation)
  • ForeStMap at the 3rd EARSeL workshop SIG on Forestry (poster)
  • ForeStMap was presented in two meetings held in Valdivia and Santiago, Chile, in the context the Sistema Integrado de Monitereo de Ecosistemas Forestales (SIMEF). These meetings were held during the first two weeks of May 2016. We presented our progress and results on the development of a 2-phase methodology to extrapolate accurate LiDAR-based estimates on biomass and canopy fuel properties using Landsat OLI data.
  • New paper: Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest. http://dx.doi.org/10.1016/j.rse.2016.04.020
  • ForeStMap at the 2015 AGU fall meeting (poster)

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