相关实验视频

Updated: Jul 12, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.4K

一种混合经验和半分析的反转方法,用于远程传感估计在Ebinur湖中国的SPM

Changjiang Liu1,2,3, Xingbin Xu4,5, Yingxiu Wu1

  • 1College of Geographic Sciences and Tourism, Xinjiang Normal University, Urumqi, 830054, China.

Scientific reports
|February 23, 2026
PubMed
概括

这项研究利用遥感优化了Ebinur湖中悬浮颗粒物 (SPM) 监测. 它确定了最好的算法和传感器组合,以准确,长期的SPM逆转,这对水生息地质量至关重要.

关键词:
大气的纠正 大气的纠正数据融合数据融合高度水是水中的水.湖泊 湖泊 湖泊 湖泊模型选择策略模型选择策略

更多相关视频

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.5K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K

相关概念视频

Linear Approximations01:23

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...