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Showing 1 to 3 of 3 for “"Leaf spectroscopy"”.

  1. Fuel characterization using remote sensing in support of large-scale wildfire management in the Cerrado biome

    … i) fuel moisture content is predicted using leaf spectroscopy and machine learning algorithms, ii) fuel load is predicted for the whole Cerrado extent using lidar data collected from unoccupied aerial vehicles and the recently launched GEDI spaceborne lidar sensor and ili) a review of the …

    brazil-ufv Repository record for Fuel characterization using remote sensing in support of large-scale wildfire management in the Cerrado biome (opens in a new tab)

  2. Using Leaf Spectra to Elucidate the Taxonomy and Ecology of Living and Dried Plants

    … spectral signature of leaves after controlled leaf desiccation, and what are the consequences for the prediction of leaf traits through radiative transfer models and inference of leaf-soil relationships, and finally (Chapter 3) how I can predict the past water content using only desiccated …

    cuny-grad Repository record for Using Leaf Spectra to Elucidate the Taxonomy and Ecology of Living and Dried Plants (opens in a new tab)

  3. Leaf and canopy responses to forest degradation and extreme climatic events: a remote sensing perspective

    Monitoring the responses of leaf functional traits and vegetation structure to environmental change is key to understanding the responses of ecological systems to anthropogenic global change. Advancement in earth observation technologies provide new opportunities to answer complex ecological …

    cambridge Repository record for Leaf and canopy responses to forest degradation and extreme climatic events: a remote sensing perspective (opens in a new tab)