Written in English
|Statement||by Toby Grier.|
|Series||Ph. D. theses (State University of New York at Binghamton) -- no. 942|
|The Physical Object|
|Pagination||xxi, 171 leaves :|
|Number of Pages||171|
Spectral reflectance of canopy covers can provide a fast and non-destructive method for the evaluation of biophysical parameters, such as LAI, biomass, height, or N content in the plant. Different ways of retrieving the LAI, biomass, plant height, or N biophysical information Author: Amparo Cisneros, Peterson Fiorio, Patricia Menezes, Nieves Pasqualotto, Shari Van Wittenberghe, Gust. Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors June Canopy structure (LAI, fCover, plant height, biomass, leaf angle distribution) and biochemical parameters (leaf pigmentation and water content) have been employed to assess vegetation status and its dynamics at scales ranging from kilometric to decametric spatial resolutions thanks to methods based on remote sensing (RS) data. 3D inhomogeneous canopy structures calculating the BRDF and absorption. Leaf reflectance results from PROSPECT were used to drive the model together with values of canopy structure and biophysical parameters obtained from the field data (Table 1). Finally, the surface reflectance from FLIGHT was used as input at the Second Simulation of.
Integration of canopy biophysical variables infered from Extraction of canopy biophysical parameters Combination of narrow bands Absorption band depth Spectral shifts Estimation of soil C:N ratio using partial least squares regression. Ustin et al. (). Vegetation Indices (VIs) are often used to estimate important biophysical parameters, like LAI and Fpar, from vegetation canopy reflectance data. In this study, a three‐dimensional model (Diana) is utilized to generate architecturally realistic tree and crop canopies in various development stages and to calculate bidirectional reflectance. Estimation of canopy parameters for inhomogeneous vegetation canopies from reflectance data: III. Trim: A model for radiative transfer in heterogeneous three-dimensional canopies Article. Narendra S. Goel†, Toby Grier, Estimation of canopy parameters for inhomogeneous vegetation canopies from reflectance data, International Journal of Remote Sensing, /, 7, 5, (), ().
Goel NS () Inversion of canopy reflectance models for estimation of biophysical parameters from reflectance data. In: G. Asrar (Editor), Theory and Applications of Optical Remote Sensing. Wiley, New York, pp. – Google Scholar. Two different data sets comprising top-of-canopy reflectance and the corresponding canopy variables were available to evaluate the retrieval performances of the developed approach. The first data set was acquired during an experimental campaign performed close to Blue Earth city (Minnesota, USA) in with the CASI hyperspectral sensor. characterization of vegetation canopies. The information dimension observed by LIDAR provides direct measurements of the vertical canopy structure including the canopy height. Whereas, the spectral information dimension provided by imaging spectrometers contains information about biophysical as well as biochemical canopy properties. The accuracy of canopy characteristics estima-tion from satellite data depends on the nature of the radiometric data, i.e. the spectral and directional information content of the data acquired. Numerous studies have thus investigated the poten-tial of many instruments to extract canopy bio-physical variables in the visible [e.g. 5, 8, 15], ther-.