Assessment of a photon recollision probability based forest reflectance model in European boreal and temperate forests
نویسندگان
چکیده
We report a new version and an empirical evaluation of forest reflectance model based on photon recollision probability (p). For the first time, p-based approach to modeling was tested in wide range differently structured forests from different biomes. To parameterize model, we measured canopy structure spectral characteristics for 50 plots four study sites spanning boreal temperate biomes Europe (48°–62°N). compared modeled spectra against airborne hyperspectral data at wavelengths 450–2200 nm. Large overestimation occurred, especially near-infrared region, when parameterized considering only leaves or needles as plant elements assuming Lambertian canopy. The root mean square error (RMSE) average 80%, 54% coniferous, broadleaved, mixed forests, respectively. suggest parameterization that takes into account nadir hemispherical ratio contribution woody reflectance. evaluated inversion which resulted RMSE 20%, 15%, 11% forests. requires few structural parameters foliage, elements, floor input. It can be used interpretation multi- remote sensing data, well land surface climate modeling. In general, our results also indicate even though foliage are not dramatically between coniferous broadleaved they still explain large part differences these types near-infrared, where sensitivity dense changes scattering properties is high.
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2022
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2021.112804