Skip to main content

Whiskbroom Scanning Pushbroom Scanning




  Whiskbroom Scanning:  
Whiskbroom scanning is a method of remote sensing where a single detector observes a narrow strip on the ground as a scanning mirror sweeps back and forth. The process is somewhat analogous to how a person might sweep a broom back and forth across the floor. In this scanning technique:

1. Mirror Movement: A scanning mirror is physically moved, often by mechanical means, to redirect the incoming electromagnetic radiation. As the mirror moves, it reflects the radiation from different ground locations toward the single detector.

2. Single Detector: There is only one detector in the system that captures the reflected radiation at any given time. The detector measures the intensity of the radiation for each location as the mirror sweeps across.

3. Strip Imaging: The result is a series of measurements that correspond to a narrow strip of the Earth's surface. As the mirror continues to sweep, the detector captures data from adjacent strips, building up an image of the target area strip by strip.

Whiskbroom scanning is known for its simplicity and ease of implementation. However, it can take longer to cover a wide area compared to other scanning methods like pushbroom. Also, it's important to account for potential distortions in the final image due to the time delay between measurements at different locations.

  Pushbroom Scanning:  
Pushbroom scanning is another method used in remote sensing, but it involves an array of detectors instead of a single detector. Here's how it works:

1. Array of Detectors: In a pushbroom system, an array of detectors is used, with each detector observing a specific ground location. These detectors are aligned in a row perpendicular to the direction of the scan.

2. Continuous Data Collection: Instead of moving a single detector, a mirror or satellite platform moves the entire array of detectors across the scene. As the mirror/platform progresses, each detector continuously collects data from its designated location.

3. Continuous Strip Image: The result is a continuous strip of data collected over time as the array moves. This strip builds up an image of the target area without the need for multiple sweeps like in whiskbroom scanning.

Pushbroom scanning offers advantages in terms of efficiency and speed when covering large areas. It provides continuous and high-resolution imagery, making it suitable for applications where timely data acquisition is crucial.

Both whiskbroom and pushbroom scanning have their strengths and weaknesses, and the choice between them depends on factors such as the sensor's capabilities, mission requirements, and the desired spatial coverage.

Comments

Popular posts from this blog

GIS data continuous discrete ordinal interval ratio

In Geographic Information Systems (GIS) , data is categorized based on its nature (discrete or continuous) and its measurement scale (nominal, ordinal, interval, or ratio). These distinctions influence how the data is collected, analyzed, and visualized. Let's break down these categories with concepts, terminologies, and examples: 1. Discrete Data Discrete data is obtained by counting distinct items or entities. Values are finite and cannot be infinitely subdivided. Characteristics : Represent distinct objects or occurrences. Commonly represented as vector data (points, lines, polygons). Values within a range are whole numbers or categories. Examples : Number of People : Counting individuals on a train or in a hospital. Building Types : Categorizing buildings as residential, commercial, or industrial. Tree Count : Number of trees in a specific area. 2. Continuous Data Continuous data is obtained by measuring phenomena that can take any value within a range...

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to  1832 , when  Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report  Rapport sur la marche et les effets du cholĂ©ra dans Paris et le dĂ©partement de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in  1854 , when  John Snow  inv...

Disaster Management

1. Disaster Risk Analysis → Disaster Risk Reduction → Disaster Management Cycle Disaster Risk Analysis is the first step in managing disasters. It involves assessing potential hazards, identifying vulnerable populations, and estimating possible impacts. Once risks are identified, Disaster Risk Reduction (DRR) strategies come into play. DRR aims to reduce risk and enhance resilience through planning, infrastructure development, and policy enforcement. The Disaster Management Cycle then ensures a structured approach by dividing actions into pre-disaster, during-disaster, and post-disaster phases . Example Connection: Imagine a coastal city prone to cyclones: Risk Analysis identifies low-lying areas and weak infrastructure. Risk Reduction includes building seawalls, enforcing strict building codes, and training residents for emergency situations. The Disaster Management Cycle ensures ongoing preparedness, immediate response during a cyclone, and long-term recovery afterw...

Representation of Spatial and Temporal Relationships

Geographical Information System (GIS) is a powerful tool for analyzing and visualizing spatial data. One of the key features of GIS is its ability to represent spatial and temporal relationships between different geographic features. Spatial relationships refer to the physical location of an object or feature in relation to other objects or features, while temporal relationships refer to the sequence or timing of events. Together, these relationships are essential for understanding and analyzing complex spatial and temporal data. Representation of Spatial Relationships in GIS: Spatial relationships in GIS can be represented using a variety of techniques such as distance, proximity, and topology. For example, distance-based relationships can be used to measure the distance between two points, while proximity-based relationships can be used to determine which objects or features are closest to one another. Topology-based relationships can be used to represent the connectivity between dif...

How to find drugs against the Corona. Covid 19

FOR SCIENTISTS (and others interested): How to find drugs against the coronavirus: First clues on how we can beat COVID-19. This shows the many ways we can interfere with its replication cycle by repurposing existing drugs - summarized in today's Science journal. LINK TO ARTICLE:  https://science.sciencemag.org/content/367/6485/1412 .... Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://g.page/vineeshvc