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Related Concept Videos

Precipitation Gravimetry01:03

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
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Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Precipitation Processes01:12

Precipitation Processes

The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...

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Computer Vision-Based Biomass Estimation for Invasive Plants
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[Hyperspectral remote sensing estimation models for snow grain size].

Jian-Geng Wang1, Xue-Zhi Feng, Peng-Feng Xiao

  • 1Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210093, China. wjg0932@yahoo.com.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

Accurately estimating snow grain size using hyperspectral remote sensing is crucial for climate and water resource management. New models utilizing specific spectral bands and a normalized difference snow index demonstrate high accuracy for large-area snow monitoring.

Area of Science:

  • Cryosphere science
  • Remote sensing
  • Climate modeling

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