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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.
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[Retrieval method for estimating snow depth using hyperspectral data in snowmelt period].

Qian Xu1, Zhi-Hui Liu, Shi-Feng Fang

  • 1College of Resources & Environment Science, Xinjiang University, Urumqi 830046, China. 784587748@qq.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 25, 2013
PubMed
Summary

This study identifies snow's characteristic absorption valleys near 1022, 1241, and 1492 nm. An Artificial Neural Network-Back Propagation (ANN-BP) model significantly improves snow depth retrieval accuracy using hyperspectral data.

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Published on: June 18, 2021

Area of Science:

  • Remote Sensing
  • Snow Hydrology
  • Spectroscopy

Context:

  • Accurate snow depth monitoring is crucial for water resource management and climate studies.
  • Traditional methods for snow depth measurement can be labor-intensive and spatially limited.
  • Hyperspectral data offers potential for detailed snowpack characterization.

Purpose:

  • To analyze the correlation between snow surface reflectance spectra and snow depth during the snowmelt period.
  • To develop and compare a single-band regression model with an Artificial Neural Network-Back Propagation (ANN-BP) model for snow depth retrieval.
  • To identify characteristic absorption valleys in snow reflectance spectra for improved snow depth estimation.

Summary:

  • Snow surface reflectance spectra and snow depth data were collected and analyzed.
  • Characteristic absorption valleys were identified near 1022, 1241, and 1492 nm.
  • The ANN-BP model, utilizing the band with the highest contribution rate, achieved a higher determination coefficient (R2 = 0.86) compared to the single-band model (R2 = 0.53).

Impact:

  • Demonstrates the effectiveness of hyperspectral data and ANN-BP models for accurate snow depth retrieval.
  • Provides a more robust method for monitoring snow cover dynamics in regions like Juntang Lake.
  • Enhances capabilities for hydrological forecasting and climate change impact assessments.