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Progress and prospects in remote sensing of brine shrimp resources

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

    Hubei LuoJia Laboratory,Wuhan 430079,China

  • Email：tianliqiao@whu.edu.cn
  • Introduction：田礼乔，研究方向为水环境与湿地遥感。E-mail：tianliqiao@whu.edu.cn
TIAN Liqiao12,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

    Wuhan University Scientific Journals Press, Wuhan 430079,China

  • Email：tianjingyi@whu.edu.cn
  • Introduction：田婧怡，研究方向为水环境遥感。E-mail：tianjingyi@whu.edu.cn
TIAN Jingyi13*,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

WANG Xin1,  
  • Affiliation：

    College of Marine Science, University of South Florida, St. Petersburg 33701, USA

QI Lin4,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

ZHAO Shuo1,  
  • Affiliation：

    Wuhan University Scientific Journals Press, Wuhan 430079,China

WU Fenfang3

resumen

El zooplancton es un pequeño animal planctónico de distribución mundial, con importante valor ecológico, económico e investigativo. El zooplancton y sus huevos pueden reunirse en la superficie del agua para formar bandas de zooplancton, que pueden ser fácilmente observadas y extraídas mediante imágenes de sensores remotos. Investigadores nacionales y extranjeros han utilizado diferentes sensores remotos de satélite para extraer y analizar las características espacio-temporales y estimar la biomasa de las bandas de zooplancton. En este documento, partiendo de los principios ópticos de teledetección del zooplancton, hemos sistematizado y comparado las características espectrales de los diferentes tipos de zooplancton; luego, hemos agrupado los métodos de identificación y extracción del zooplancton en algoritmos basados en las características espectrales y algoritmos de aprendizaje profundo, y hemos realizado una exposición detallada; después, hemos resumido los avances de la investigación en teledetección de la distribución espacio-temporal del zooplancton y la estimación de la biomasa; finalmente, hemos resumido y vislumbrado las principales líneas de investigación y tendencias del desarrollo de la teledetección del zooplancton.

palabra clave

brine shrimp (Artemia);brine shrimp slicks;Spectral characteristics;remote sensing;identification and extraction;biomass estimation

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