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Determining the Water Ice Content of Martian Regolith by Nonlinear Spectral Mixture Modeling.

机译：用非线性光谱混合模型确定火星岩的水冰含量。

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作者
Gyalay, S.; Noe Dobrea, E. Z.;
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年度 2015
页码 1-2
总页数 2
原文格式 PDF
正文语种 eng
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关键词
Mars surface; Regolith; Ice; Moisture content; Biomarkers; Exobiology; Albedo; Spectrum analysis; Mars surface samples; Vertical distribution;

机译：火星表面;风化;冰;水分含量;生物标志物;外生物学;反照率;光谱分析;火星表面样品;垂直分布;

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1. Nonlinear spectral mixture modeling to estimate water-ice abundance of martian regolith [J] . Gyalay Szilard, Dobrea Eldar Z. Noe, Chu Kathryn, Icarus: International Journal of Solar System Studies . 2019,第期

机译：非线性光谱混合模拟，以估算火星冰雹水冰丰度
2. VIS-NIR reflectance of water ice/regolith analogue mixtures and implications for the detectability of ice mixed within planetary regoliths [J] . Yoldi Zurine, Pommerol Antoine, Jost Bernhard, Geophysical Research Letters . 2015,第15期

机译：水冰/硬石类似物混合物的VIS-NIR反射率及其对行星硬石中混合冰的可检测性的影响
3. Water ice nucleation characteristics of JSC Mars-1 regolith simulant under simulated Martian atmospheric conditions [J] . Bruce D. Phebus, Alexandria V. Johnson, Brendan Mar, Journal of geophysical research. Planets . 2011,第E4期

机译：模拟火星大气条件下JSC Mars-1重钙体模拟物的水冰成核特性
4. Thermite Reactions in the Mixtures of Magnesium with Lunar and Martian Regolith Simulants [C] . Armando Delgado, Sergio Cordova, Evgeny Shafirovich Symposium on space resource utilization;AIAA SciTech forum . 2015

机译：镁与月球和火星Regolith模拟物混合物中的铝热反应
5. Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions. [D] . Gutierrez-Rodriguez, Mario. 2009

机译：光谱反射率指数用于估算在灌溉良好，水分胁迫和高温条件下春小麦基因型的产量和含水量。
6. Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize [O] . F. Zhang, G. Zhou 2019

机译：利用高光谱植被指数估算植被含水量：比较夏玉米水分胁迫下作物水分指标
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。

Determining the Water Ice Content of Martian Regolith by Nonlinear Spectral Mixture Modeling.

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