Skip to main content

IRS ResourceSat LISS

IRS, Resourcesat, and LISS are terms related to India's Earth observation satellite program. 


The Linear Imaging SelfScanning Sensor (LISS) is a type of remote sensing sensor technology used on various Earth observation satellites, particularly in India's Indian Remote Sensing (IRS) satellite program. Here's an explanation of LISS:


1. Imaging Technology: LISS is designed to capture highresolution imagery of the Earth's surface. It operates by scanning the terrain below and capturing data in the form of digital images.


2. SelfScanning: The term "SelfScanning" in LISS refers to its ability to scan the Earth's surface automatically without the need for any external mechanical scanning mechanisms. This makes LISS sensors more reliable and less prone to mechanical failures.


3. Linear Array: LISS sensors typically use a linear array of detectors, also known as a pushbroom scanner. This array consists of multiple lightsensitive detectors aligned in a row, allowing for the simultaneous capture of multiple pixels of information in a single pass over the Earth's surface.


4. Spectral Bands: LISS sensors are often equipped with multiple spectral bands, including visible and nearinfrared wavelengths. These different bands allow for the capture of images in various parts of the electromagnetic spectrum, enabling the extraction of valuable information about land cover, vegetation health, and more.


5. HighResolution Imaging: LISS sensors are known for their ability to provide highresolution images, which means they can capture fine details on the Earth's surface. This high level of detail makes them valuable for applications such as landuse mapping, urban planning, agricultural monitoring, and disaster management.


6. Applications: LISS imagery has been widely used in a range of applications, including agriculture, forestry, environmental monitoring, disaster response, and urban development planning. The data captured by LISS sensors helps governments, researchers, and industries make informed decisions and monitor changes in the Earth's landscape.


1. IRS (Indian Remote Sensing Satellite):

    The Indian Remote Sensing Satellite (IRS) program is a series of Earth observation satellites developed and operated by the Indian Space Research Organisation (ISRO).

    These satellites are designed to collect various types of Earthrelated data, including imagery and geospatial information.

    IRS satellites have been used for a wide range of applications, including agriculture, forestry, urban planning, disaster management, and environmental monitoring.

    The IRS program has seen multiple generations of satellites with progressively improved capabilities.


2. Resourcesat:

    Resourcesat is a series of Earth observation satellites within the IRS program, specifically focused on natural resource management and environmental monitoring.

    The Resourcesat series includes Resourcesat1, launched in 2003, and Resourcesat2, launched in 2011.

    These satellites are equipped with advanced remote sensing sensors for highresolution imaging and data collection.


In summary, IRS represents India's Earth observation satellite program, which includes a variety of satellites used for monitoring and collecting data related to the Earth's surface and environment. Resourcesat is a specific series within this program focused on natural resource management, and LISS is one of the sensor technologies used on these satellites to capture imagery and data. These initiatives play a crucial role in supporting various sectors in India, such as agriculture, forestry, and disaster management, among others.






Comments

Popular posts from this blog

KSHEC Scholarship 2024-25

KSHEC Scholarship 2024-25 Alert! First-Year UG Students Only, Don't Miss This Golden Opportunity! πŸ’‘βœ¨ Are you a first-year undergraduate student studying in a Government or Aided College in Kerala? Do you need financial assistance to continue your education without stress? The Kerala State Higher Education Council (KSHEC) Scholarship is here to support YOU!  This scholarship is a lifeline for deserving students, helping them focus on their studies without worrying about financial burdens. If you meet the criteria, APPLY NOW and take a step towards a brighter future! 🌟 βœ… Simple Online Application – Quick & easy process!  πŸ“Œ Who Can Apply? βœ”οΈ First-year UG students ONLY βœ”οΈ Must be studying in an Arts & Science Government or Aided college in Kerala βœ”οΈ Professional Course students are not eligible  πŸ”Ή Scholarship Amounts Per Year: πŸ“Œ 1st Year FYUGP – β‚Ή12,000 πŸ“Œ 2nd Year FYUGP – β‚Ή18,000 πŸ“Œ 3rd Year FYUGP – β‚Ή24,000 πŸ“Œ 4th Year FYUGP – β‚Ή40,000 πŸ“Œ 5th Year PG – β‚Ή60,000  Great News...

Disaster Management

1. Disaster Risk Analysis β†’ Disaster Risk Reduction β†’ 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...

Pre During and Post Disaster

Disaster management is a structured approach aimed at reducing risks, responding effectively, and ensuring a swift recovery from disasters. It consists of three main phases: Pre-Disaster (Mitigation & Preparedness), During Disaster (Response), and Post-Disaster (Recovery). These phases involve various strategies, policies, and actions to protect lives, property, and the environment. Below is a breakdown of each phase with key concepts, terminologies, and examples. 1. Pre-Disaster Phase (Mitigation and Preparedness) Mitigation: This phase focuses on reducing the severity of a disaster by minimizing risks and vulnerabilities. It involves structural and non-structural measures. Hazard Identification: Recognizing potential natural and human-made hazards (e.g., earthquakes, floods, industrial accidents). Risk Assessment: Evaluating the probability and consequences of disasters using GIS, remote sensing, and historical data. Vulnerability Analysis: Identifying areas and p...

Mapping Process

The mapping process involves several systematic steps to transform real-world spatial information into a readable, accurate, and useful representation. Below is a structured explanation of each step in the mapping process, with key concepts, terminologies, and examples. 1. Defining the Purpose of the Map Before creating a map, it is essential to determine its purpose and audience . Different maps serve different objectives, such as navigation, analysis, or communication. Types of Maps Based on Purpose: Thematic Maps: Focus on specific subjects (e.g., climate maps, population density maps). Topographic Maps: Show natural and human-made features (e.g., contour maps, landform maps). Tourist Maps: Highlight attractions, roads, and landmarks for travelers. Cadastral Maps: Used in land ownership and property boundaries. Navigational Maps: Used in GPS systems for wayfinding. Example: A disaster risk map for floods will highlight flood-prone areas, emergency shelters, and ...

GIS Concepts

S patial Data Components Location or Position This defines where a spatial object exists on the Earth's surface. It is represented using coordinate systems , such as: Geographic Coordinate System (GCS) – Uses latitude and longitude (e.g., WGS84). Projected Coordinate System (PCS) – Converts Earth's curved surface into a flat map using projections (e.g., UTM, Mercator). Example: The Eiffel Tower is located at 48.8584Β° N, 2.2945Β° E in the WGS84 coordinate system. Attribute Data (Descriptive Information About Location) Describes characteristics of spatial features and is stored in attribute tables . Types of attribute data: Nominal Data – Categories without a numerical value (e.g., land use type: residential, commercial). Ordinal Data – Ranked categories (e.g., soil quality: poor, moderate, good). Interval Data – Numeric values without a true zero (e.g., temperature in Β°C). Ratio Data – Numeric values with a true zero (e.g., population count, rainfall amoun...