The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents bistatic scattering response of rice canopy over growth stages based on a three-layer microwave scattering model, which is developed using the iterative solution of the vector radiative transfer equations up to the second order, and the dense medium phase and amplitude correction theory (DM-PACT) is used to improve the phase matrix taking coherent effects into account. To validate...
Remote sense values of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) suffer from the effect of ragged terrain. In this study, the effect of ragged terrain was internalized into the FAPAR model based on recollision probability (FAPAR-P), by improving FAPAR-P in two aspects: calculating the shielding factor to correct for the fraction of diffuse sky radiation to the total radiation,...
Remote sensing of soil moisture in a bistatic mode has attracted increasing attention in recent years. This paper investigates the bistatic radar response of soil moisture and surface roughness at L-band by using the advanced integral equation model (AIEM). To better explore the potential of bistatic scattering for soil moisture sensing, both polarized and angular scattering coefficients, and their...
A physical model for simulating crop albedo based on the law of energy conservation and spectral invariants was developed. The idea referred to the primary PARAS albedo model for forest. The developed model concerned two key problems for crop monitoring, one is the anisotropy of soil reflectance and the other is the clumping effect of crop leaves at canopy scale, which contributed to the improvement...
Row crop is an important cultivation form in China. It is considered to be a transitional canopy structure between continuous vegetation and discrete vegetation. Lots of physical models of row crop were established to invert vegetation parameters of row crop. Monte Carlo model is a reliable reference for those physical models. In this paper, row crop was modeled as a series of parallel rectangles...
The physically-based vegetation canopy reflectance model is the basis for accurate inversion of important vegetation parameters. According the interactive process between photons and canopy, canopy reflectance could be divided into two parts: single scattering and multiple scattering reflectance. Recollision probability is a useful tool linking leaf optical properties to canopy reflectance or absorption...
Climate and land-atmosphere models rely on accurate land-surface parameters, such as the Fraction of Absorbed Photo synthetically Active Radiation (FAPAR). It is known that FAPAR values retrieved from remote sensing images suffer from scaling effects. Scaling transformation aims to derive accurate FAPAR values at a specific scale from values at other scales. In this paper, scaling effect mechanism...
Multi-scale is a very important feature for people to recognize the world, which is existing in the nature everywhere. The multi-scale analysis can integrate rich information of different levels, with the perfect unit of the easy partition of coarse image and high accuracy of fine image. In this article, an algorithm is proposed which is used to refine the boundary in fine image based on the multi-scale...
High spatial resolution remotely sensed images have made it possible for humans to observe the earth in detail; however, there are new challenges for processing such kind of images. Some different categories in the images are always classified into one category using spectral features based classification method, because they have similar color or intensity. In recent years, the image processing approach...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.