A dataset for the validation of reflectance models
β Scribed by Andres Kuusk; Joel Kuusk; Mait Lang
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 147 KB
- Volume
- 113
- Category
- Article
- ISSN
- 0034-4257
No coin nor oath required. For personal study only.
β¦ Synopsis
Three mature stands at the forest test site JΓ€rvselja, Estonia were extensively measured for using as a validation dataset for heterogeneous canopy reflectance models. In order to enable the reconstruction of the 3-D architecture of these 100 Γ 100 m 2 test plots, individual tree positions and crown dimensions were inventoried. In addition, leaf, needle, stem bark and branch bark visible and near-infrared (VNIR) reflectance spectra, and VNIR reflectance spectra of ground vegetation were measured. This in situ dataset is supported by atmospherically and radiometrically corrected Mode 3 CHRIS reflectance spectra for three view directions, and top of canopy VNIR nadir spectra from airborne measurements. Details of measurements, instruments in use, data processing, and access to data are described in a technical report which is available on-line.
π SIMILAR VOLUMES
Most of spectral estimation methods are based on improving the learning-based procedures which mainly modify the training sets used by the basic methods. In this article, a new method is developed for analyzing of superiority of these modified processes to the basic methods in terms of normality of
The validation of pesticide leaching models presents particular problems where the number of model predictions is far in excess of the observed data. Normally, however, there are more frequent field observations for other parameters (notably the site hydrology) than for pesticide concentrations in
## Abstract A twoβstep agglomeration model is developed for the crystallization of a zeolite. It accounts for the crystallization of crystallites from the amorphous phase and the subsequent growth and agglomeration processes. The model explains the morphology of agglomerates with multiple structure
## Abstract In this letter, an experimental validation of percolationβbased approaches for the prediction of wave propagation in random media is presented. Measurements are collected in a real controlled environment, where the obstacles are stochastically placed in a twoβdimensional grid according