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Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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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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Precipitation Gravimetry01:03

Precipitation Gravimetry

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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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Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Updated: Jan 7, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

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Two Novel Cloud-Masking Algorithms Tested in a Tropical Forest Setting Using High-Resolution NICFI-Planet Basemaps.

K M Ashraful Islam1,2, Shahriar Abir2, Robert Kennedy1

  • 1College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331, USA.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
Summary
This summary is machine-generated.

Two new cloud-masking algorithms for high-resolution tropical forest monitoring using NICFI-Planet imagery on Google Earth Engine (GEE) were developed. These reproducible methods improve data usability by effectively removing clouds and shadows.

Keywords:
Google Earth Engine (GEE)NICFI-Planetcloudhigh resolutionmangroveremote sensing

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Area of Science:

  • Remote Sensing
  • Environmental Monitoring
  • Geographic Information Systems

Background:

  • High-resolution satellite imagery, such as the NICFI-Planet collection on Google Earth Engine (GEE), is crucial for fine-scale tropical forest monitoring.
  • Persistent cloud cover, shadows, and haze in satellite data significantly reduce its utility for accurate environmental analysis.
  • Existing cloud-masking methods may not be optimized for specific datasets like NICFI-Planet or may require extensive labeled data.

Purpose of the Study:

  • To develop and present two simple, fully reproducible cloud-masking algorithms tailored for the NICFI-Planet image collection on Google Earth Engine.
  • To evaluate the performance and applicability of these algorithms across diverse tropical deltaic mangrove environments.
  • To provide operational tools that can be readily applied without the need for labeled samples.

Main Methods:

  • Algorithm A: A thresholding approach utilizing Blue and Near-Infrared spectral bands.
  • Algorithm B: A Sentinel-2-derived statistical thresholding method with per-band cutoffs.
  • Both algorithms were implemented end-to-end within Google Earth Engine (GEE) for operational use and tested in the Sundarbans, Bidyadhari Delta, and Ayeyarwady Delta.

Main Results:

  • Algorithm B effectively removed the most cloud and bright-water pixels but showed a tendency to over-mask haze and low-contrast features.
  • Algorithm A retained more usable pixels, though its performance varied regionally, being more conservative in the Sundarbans and over-inclusive in India and Myanmar.
  • Both algorithms offer a practical alternative to methods requiring labeled data, with GEE implementation ensuring reproducibility and consistency.

Conclusions:

  • The developed cloud-masking algorithms provide a pragmatic, first-pass filtering solution for NICFI-Planet data in tropical forest monitoring.
  • The algorithms' effectiveness can vary across different environmental conditions, necessitating careful consideration of regional characteristics.
  • Their simple, shareable GEE code facilitates consistent application across diverse geographic regions, enhancing the usability of high-resolution satellite imagery.