52results about How to "Improve the inversion effect" patented technology

The invention discloses a method for extracting stand structure parameters of artificial forest on the basis of aerial photogrammetric measurement point clouds. The method includes: filtering airbornelidar discrete point cloud data, interpolating to generate a digital terrain model and performing point cloud data normalization processing; extracting and matching true color image pair feature points, performing aerial triangulation to generate the aerial photogrammetric measurement point clouds, and subjecting the aerial photogrammetric measurement point clouds to normalization processing; extracting feature variables on the basis of the normalized aerial photogrammetrical measurement point clouds; respectively constructing a multivariate regression model to predict the structural featuresof each stand in combination with ground measured data and the extracted feature variables. The three-dimensional structural features of forest canopy can be acquired through high overlapping image data efficiently acquired by an unmanned aerial vehicle and by the aid of the three-dimensional point clouds extracted from image pairs with the stereophotogrammetry method, inversion precision of thestand structure parameters is helpfully improved, and problems about high forest coverage and structure parameter inversion 'saturation' of high stand of biomass are effectively solved.

The invention discloses a method and model for calculating canopy reflectivity of broad-leaved vegetation. The method comprises the following steps: S1: inputting parameters, identifying the input parameters, and classifying the input parameters into leaf parameters, canopy parameters and soil parameters; S2: calculating reflectivity and transmissivity of each single leaf according to the leaf parameters; S3: calculating an extinction coefficient and a scattering coefficient of canopies according to the canopy parameters and the leaf parameters in the step S2; S4: calculating related reflection factor and reflectivity of the canopies according to the obtained canopy extinction and scattering parameters; S5: calculating the canopy reflectivity according to the related reflection factor and reflectivity of the canopies. According to the method and the model, a PROSPECT model and an SAIL model are coupled, and a leaf reflectivity and transmissivity input process in a vegetation canopy reflectivity simulation process is canceled under the condition of making full use of available parameters; a parameter acquisition problem in a vegetation canopy spectral information simulation process is effectively simplified, an algorithm is optimized, a calculating process is accelerated, and meanwhile, the coupled model facilitates parametric inversion of the vegetation.

The invention discloses a forest-biomass remote sensing inversion method based on spectral curve characteristic differentiation. Landsat 8OLI and actually measured data serve as a data source, and a forest-biomass leaf biomass and above-ground biomass inversion model which takes Landsat 8OLI red-light band reflectivity R, near-infrared band reflectivity NIR, red-light band central wavelength CW<R> and near-infrared band central wavelength CW<NIR> as characterization parameters is constructed. The model is good in inversion effect and provides a new technical method and means for rapidly, accurately and comprehensively estimating above-ground biomass of different forest community types in large stretches of forests.