Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pressure Gauges01:20

Pressure Gauges

5.8K
Most pressure gauges, like those on scuba tanks, are calibrated to read zero at atmospheric pressure. Readings from such gauges are called the gauge pressure, which is the pressure relative to atmospheric pressure. When the pressure inside the tank exceeds atmospheric pressure, the gauge reports a positive value. Some gauges are designed to measure negative pressure. For example, many physics experiments must take place in a vacuum chamber, a rigid chamber from which some of the air is pumped...
5.8K
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

1.0K
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
1.0K
Subcellular Fractionation01:32

Subcellular Fractionation

8.9K
The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
Differential centrifugation is...
8.9K
Partial Fractions01:28

Partial Fractions

220
A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
220
Mixtures of Gases: Dalton's Law of Partial Pressures and Mole Fractions03:03

Mixtures of Gases: Dalton's Law of Partial Pressures and Mole Fractions

44.1K
Unless individual gases chemically react with each other, the individual gases in a mixture of gases do not affect each other’s pressure. Each gas in a mixture exerts the same pressure that it would exert if it were present alone in the container. The pressure exerted by each individual gas in a mixture is called its partial pressure.
44.1K
Integration of Rational Functions Using Partial Fractions01:29

Integration of Rational Functions Using Partial Fractions

89
Rational functions are expressions written as the ratio of two polynomials, and their integrals are evaluated by simplifying the integrand into manageable parts. These functions are classified as proper or improper based on the degrees of the numerator and denominator.A rational function is proper when the degree of the numerator is less than the degree of the denominator. In this case, partial fraction decomposition is used to rewrite the function as a sum of simpler rational terms. The...
89

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Counterfactual modeling isolates sand mining impacts, revealing it as a key driver of Mekong Delta destabilization.

Science advances·2026
Same author

Global alluvial channel patterns.

Nature communications·2026
Same author

Trifluridine/tipiracil (FTD/TPI) in advanced gastric cancer-a retrospective cohort study providing real-world survival and safety data from the United Kingdom.

Journal of gastrointestinal oncology·2026
Same author

Two decades of flood-pulse-driven chlorophyll-a dynamics in an Amazon floodplain lake.

The Science of the total environment·2026
Same author

Land use change in the Vietnamese Mekong Delta: Long-term impacts of drought and salinity intrusion using satellite and monitoring data.

iScience·2025
Same author

Environmental pressures on livelihood transformation in the Vietnamese Mekong Delta: Implications and adaptive pathways.

Journal of environmental management·2025

Related Experiment Video

Updated: Feb 3, 2026

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
12:24

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

Published on: August 29, 2014

11.4K

Large lake gauging using fractional imagery.

Edward Park1, Quinn W Lewis2, Nivedita Sanwlani3

  • 1Earth Observatory of Singapore, Nanyang Technological University, Singapore.

Journal of Environmental Management
|November 5, 2018
PubMed
Summary
This summary is machine-generated.

A new method uses passive optical remote sensing and digital elevation models to estimate large lake water levels. This approach provides accurate, long-term monitoring for floodplain lakes globally, crucial for understanding their ecological and hydrological roles.

Keywords:
FloodplainsLakesOptical remote sensingRiversWater level

More Related Videos

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
10:49

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Published on: March 6, 2014

17.8K
Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

10.2K

Related Experiment Videos

Last Updated: Feb 3, 2026

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
12:24

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

Published on: August 29, 2014

11.4K
Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
10:49

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Published on: March 6, 2014

17.8K
Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

10.2K

Area of Science:

  • Hydrology and Remote Sensing
  • Environmental Monitoring
  • Geospatial Analysis

Background:

  • Large floodplain lakes are vital ecosystems supporting biodiversity and regulating riverine processes.
  • Inconsistent or absent water level monitoring in remote lakes, particularly in developing nations, hinders ecological and hydrological research.
  • Human activities significantly impact these valuable aquatic environments.

Purpose of the Study:

  • To introduce a novel, cost-effective method for estimating large lake water levels using passive optical remote sensing data.
  • To enable consistent and accurate long-term water level monitoring in remote floodplain lakes worldwide.
  • To provide a valuable complement or alternative to existing active sensor-based monitoring techniques.

Main Methods:

  • Utilizing Landsat optical satellite imagery and any available digital elevation model (DEM).
  • Processing data within a nested grid system (e.g., 240 m² fishnet) to achieve high-resolution estimates (e.g., 30 m²).
  • Applying a probabilistic mean of elevation for water-classified pixels (5%-95% fill) to determine water levels.

Main Results:

  • Achieved water level estimation accuracy within ±50 cm of gauged data on Lake Curuai (Amazon) and Tonle Sap Lake (Mekong).
  • Demonstrated method's robustness to cloud cover, especially for larger lakes.
  • Established the first solely passive optical remote sensing approach for lake water level estimation.

Conclusions:

  • The developed method offers a reliable and accessible tool for monitoring large lake water levels globally.
  • This technique can significantly improve our understanding of floodplain lake dynamics and their response to environmental changes.
  • Passive optical remote sensing presents a viable and important alternative for hydrological monitoring.