The SMAP Science Data System Algorithm and Application Simulation Testbed
نویسندگان
چکیده
Slated for launch in 2015, the NASA Soil Moisture Active/Passive mission represents a significant advance in our ability to globally observe time and space variations in surface soil moisture fields. The SMAP mission concept is based on the integrated use of L-band active radar and passive radiometry measurements to optimize both the accuracy and resolution of remotelysensed surface soil moisture estimates. In order to facilitate the pre-launch development of science algorithms, the SMAP mission has established a SMAP Science Data System (SDS) Testbed. This presentation will discuss the SDS Testbed and describe its potential use as the basis for SMAP application development studies.
منابع مشابه
Application of A Simulation Algorithm for Dynamic and Nonlinear Analysis of A Liquid Propellant Engine
In this paper application of a simulation algorithm for dynamic and nonlinear analysis of a specific liquid propellant engine is presented. The mathematical model of the engine includes a set of nonlinear algebraic equations which is coupled with a set of time varying differential equations. In contrast to the existing liquid propellant simulation algorithms, the presented work does not depend ...
متن کاملSoil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document (ATBD) SMAP Calibrated, Time-Ordered Brightness Temperatures L1B_TB Data Product
(Page intentionally left blank) Algorithm Theoretical Basis Documents (ATBDs) provide the physical and mathematical descriptions of the algorithms used in the generation of science data products. The ATBDs include a description of variance and uncertainty estimates and considerations of calibration and validation, exception control and diagnostics. Internal and external data flows are also desc...
متن کاملParameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm
In this paper, the uncertain dynamic parameters of an experimental target tracker robot are identified through the application of genetic algorithm. The considered serial robot is a two-degree-of-freedom dynamic system with two revolute joints in which damping coefficients and inertia terms are uncertain. First, dynamic equations governing the robot system are extracted and then, simulated nume...
متن کاملMulti-objective Measurement Devices Allocation Using State Estimation in Distribution System
Allocation of measurement devices is a necessity of distribution system which is an application of state estimation. In this paper, the problem of active and reactive measurement devices is modeling using a multi-objective method. The objectives of the problem are to minimize the use of measurement devices, increase in state estimation output, improve the state estimation quality and reduce cos...
متن کاملSolving Redundancy Allocation Problem with Repairable Components Using Genetic Algorithm and Simulation Method
Reliability optimization problem has a wide application in engineering area. One of the most important problems in reliability is redundancy allocation problem (RAP). In this research, we worked on a RAP with repairable components and k-out-of-n sub-systems structure. The objective function was to maximize system reliability under cost and weight constraints. The aim was determining optimal com...
متن کامل