[MIS01-P02] Retrieving the forest species composition from remote sensing data using a three-dimensional radiative transfer model
Keywords:radiative transfer, three-dimensional model, mixed forest, canopy reflection, inverse problem
The model was used to describe the spatial patterns of solar radiation reflection and transmission by non-uniform mixed forest canopy and to develop an algorithm that allows to retrieve the proportion of different tree species in a mixed forest stand from measured canopy reflection coefficients for blue, green, red and near-infrared spectral bands (obtained from e.g. the Landsat satellite imagery). This approach allowed us to quantify the proportion of different tree species (both coniferous and deciduous) in a forest stand in case if their spectral reflection properties of the leaves are not the same. The accuracy of assessing the proportion of vegetation species using this method depended on the number of reflection measurements under various solar conditions (e.g. different sun elevations) that can reached by several measurements during the growing seasons. An increase of the input data volume (determined by the number of the measurements) resulted in higher accuracies for prediction of the proportions of different tree species.
References
Knyazikhin Y., Marshak A., Myneni R.B. Three dimensional radiative transfer in vegetation canopies. In: Three Dimensional Radiative Transfer in the Cloudy Atmosphere, Marshak, A., Davis, A.B., Eds., Springer Verlag: Berlin, Heidelberg, 2005, 617-652.
Levashova N., Lukyanenko D., Mukhartova Y., Olchev A. Application of a three-dimensional radiative transfer model to retrieve the species composition of a mixed forest stand from canopy reflected radiation. Remote Sensing, 2018, 10 (10), 1661.
Myneni R.B., Asrar G., Gerstl S.A.W. Radiative transfer in three dimensional leaf canopies. Transport Theory and Statistical Physics, 1990, 19, 205–250.
Ross J. The radiation regime and architecture of plant stands; Dr. W. Junk Publishers: The Hague, Netherlands, 1981, 390 p.