Retrieval of SIF and related vegetation biophysical variables from the top-of-atmosphere (TOA) radiance data ensures the consistency of physical meaning between different parameters and avoids the uncertainties and errors caused by atmospheric correction propagate to surface reflectance. For complex nonlinear models, global sensitivity analysis is the first step for retrieving biophysical parameters, which can quantitatively analyze the sensitive and non-sensitive input parameters for a model output, and gains insights into retrievable variables. In order to simulate the TOA radiance data, based on the four-stream radiative transfer theory, the coupling between the atmosphere and the non-Lambertian surface is described through a combination of radiative transfer models those were used to represent soil, vegetation and the atmosphere. A modified version of the Sobol`s method was used to analysis. The results show that:(i) From 650 nm to 850 nm, leaf area index(LAI), leaf inclination distribution function (LIDFa), leaf chlorophyll content(Cab) and leaf dry matter content(Cdm) were the most sensitive parameters affecting the output variance of the model among 12 input parameters. On the other hand, senescent material (Cs), leaf structure parameter (N), fluorescence quantum efficiency (fqe) and soil moisture percentage (SMp) have weak influences on the output radiance. (ii)When the atmospheric visibility is high (i.e.50km), the sensitivities of TOA radiance sensitivities are similar to that of TOC reflectance for the most sensitive parameters. (iii)The viewing and illumination geometry has a significant influence on the NIR wavelengths.
For the satellite remote sensing data, it is necessary to evaluate the adjacency effect due to atmospheric scattering. Accurate modeling of the adjacency effect requires capabilities dealing with rugged areas and multiple scattering. In this paper, estimation of the adjacency effect is done by calculating the contribution of photons after the multiple scattering process through a many layered atmosphere. For the requirement of fast calculation in remote sensing simulation system, we adopt the approximate ISAACS 2-stream and flux adding method to model the adjacency effect. We evaluate the multiple scattering model by simulating the at-sensor radiance observed over synthetic rugged scenes under varying atmospheric conditions. Radiance comparisons with a single scattering model show good agreement in the clear atmosphere. Relative radiance differences are found to be about 11% in the dust atmosphere, increasing to 15% in the steep areas. Being coupled with the simulation model for remote sensing, it can be used in generation of simulated datasets and validation of the data processing algorithms.
The striping noise can obscure the true radiation information in the images, reduce the accuracy of hyperspectral images, and have serious effect for visual interpretation and further results based on spectral analyses. This paper introduces the principle of moment matching method, emphasizes the analysis of the formative reason for “edge effect”, and then proposes an enhanced method to destripe EO-1/Hyperion data. The method for destriping has been introduced as well in this paper to compare with the moment matching method from both visual effect and quantitative assessment. It shows that the proposed method could achieve the greater effect for destriping EO-1/Hyperion data.
As a way of acquiring elevation with high accuracy, space-borne laser altimeter improves the capability of 3-dimensional cartography of satellite optical remote sensing imagery. However, the plane accuracy of space-borne laser altimeter is not so high as its elevation accuracy. Accordingly, the error souses and their influences on space-borne laser altimeter ground positioning are studied in this paper. The space-borne laser altimeter is very different from classical photogrammetry, the elevation information is obtained by measuring the time between sending and receiving the laser. As space-borne laser altimeter supplies laser echo signal other than image, the positioning accuracy is more important as well as the exterior orientation elements. The ground positioning of space-borne laser altimeter is first modeled, then error propagation of the model is studied, and the main error souses of space-borne laser altimeter ground positioning are obtained. At last the influences of each error souse on space-borne laser altimeter ground positioning are analysed as the references for space-borne laser altimeter designing and application.
With the development of high resolution remote sensing satellite in recent years, the research of typical objects is connecting more and more closely with remote sensing applications. In the TDI CCD camera on-orbit imaging process, great changes will happen on solar angles at different time, causing a certain change of BRDF of most earth’s surface objects, and finally affect the remote sensing radiances, even imaging quality. In order to solve this problem, optimization of in-orbit parameters based on the ground objects BRDF is necessary. A detailed investigation about the global imaging area of ground objects characteristics is given in this paper. We inverse BRDF of different time based on Kernel-Driven BRDF model, establish database of ground objects BRDF, make a classification of ground objects characteristics, simulate imaging effect with radiative transfer model and degradation model of remote sensor, and then optimize imaging parameters according to the imaging quality requirement. The simulation results show that the contrast, definition and dynamic range of image have improved, the proposed method in this paper can set imaging parameters reasonably of different imaging conditions, improve the imaging quality of high resolution remote sensing satellites.
For argumentation of feasibility of LST (Land Surface Temperature) retrieval using 8-10 μm infrared band, this paper focuses on design of long-wave infrared band based on theory research. Basis of thermal infrared radiative transfer and atmospheric simulation, the paper analyses atmospheric effect on different long-wave infrared and obtain a preliminary selection of potential spectral channels. Several configurations of long-wave infrared spectral band were selected to perform in Split-Window algorithm and the relation of LST retrieval precision with error source was analyzed. Results indicate the scheme of LST retrieval using 8.0-9.0μm long-wave infrared is feasibility for needed retrieval precision.
The model for simulating full-waveform LiDAR data was developed as a tool to explore the relationship between the
LiDAR's design, performance and the terrain characteristics. It is a part of work with the overall purpose to develop a
trade-off analysis tool for a spaceborne LiDAR system as a payload of a land-vegetation observation space mission. An
end-to-end propagation of a spaceborne LiDAR sensing pulse through vegetation canopies is considered by the model. It
consists of the modules characterizing the laser and the receiver optical system, atmosphere, land surface, optical
filtering and detectors. This tool can be used to evaluate the effect of instrument configurations on the retrieval of land
surface parameters, and to carry out trade-off studies during the instrument design.
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