Research PhD Admission at Indira Gandhi Delhi Technical University For Women 2020

Indira Gandhi Delhi Technical University For Women (Established by Govt. of Delhi vide Act 09 of 2012) Kashmere Gate, Delhi – 110006 Ph.D Admissions: Academic Year 2019-20 (Even Semester: Jan. 2020) http://www.igdtuw.ac.in Applications for admissions to Ph.D Programme of IGDTUW for the Academic Year 2019-20 (Even Semester: Jan. 2020) are invited in various areas of Engineering, Applied Sciences and Humanities. Ph.D Programme at IGDTUW is only for female students. Admission shall be on the basis of Research Aptitude Test (RAT) followed by interview. Applicants who have qualified GATE/NET will be exempted from RAT Exam and will be called directly to appear in interview. IGDTUW Junior Research Fellowship may be offered to few of the selected PhD scholars. IMPORTANT DATES:  Online Application starts on –06/12/2019  Last Date of Applications –25/12/2019  Date of RAT Examination – 31/12/2019 Application Process: Interested candidates may apply online through the Websitehttp://www.igdtuw.ac.in Help Desk Email ID: phdadmissions@igdtuw.ac.in For details please visit University website. Helpline Numbers-011-23900220, 23900221

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Quantitative Revolution in Geography

The Quantitative Revolution was a major change in Geography during the 1950s and 1960s. It introduced mathematical, statistical and scientific methods to understand geographical phenomena. Before this revolution, geographers mainly described places, regions, landscapes and differences between areas. After the revolution, they increasingly used numerical data, statistical analysis, mathematical models and theories to explain why geographical patterns occur and how they may change. For example: Traditional approach: Describe the distribution of population in different regions. Quantitative approach: Use statistical methods to identify population patterns, explain the factors influencing population distribution and predict future population growth. The revolution helped establish Geography as a spatial science, focusing on the location, distribution, relati...

Satellite Remote Sensing: Concepts and Imaging Systems

Satellite remote sensing relies on detectors (sensors) that measure reflected/emitted electromagnetic radiation from the Earth. How sensors collect data depends on: Spectral coverage → Multispectral (few bands), Hyperspectral (hundreds), Thermal, Microwave. Detector type → Discrete detectors, linear arrays, or area arrays. Scanning mechanism → Scanning mirrors (whiskbroom) vs. linear arrays (pushbroom). Multispectral Imaging Using Discrete Detectors and Scanning Mirrors (Whiskbroom scanners) Principle : A single detector (or a few detectors) measures radiation one pixel at a time. A scanning mirror sweeps across-track (perpendicular to the satellite path) to build up the image line by line. The forward motion of the satellite provides the along-track dimension. Known as a whiskbroom scanner . Characteristics : Good calibration stability. Narrow instantaneous field of view (IFOV). Susceptible to mechanical wear (moving ...

Spectral Signature vs. Spectral Reflectance Curve

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Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types 1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...

RADIOMETRIC CORRECTION

Radiometric correction is the process of removing sensor and environmental errors from satellite images so that the measured brightness values (Digital Numbers or DNs) truly represent the Earth's surface reflectance or radiance. In other words, it corrects for sensor defects, illumination differences, and atmospheric effects. 1. Detector Response Calibration Satellite sensors use multiple detectors to scan the Earth's surface. Sometimes, each detector responds slightly differently, causing distortions in the image. Calibration adjusts all detectors to respond uniformly. This includes: (a) De-Striping Problem: Sometimes images show light and dark vertical or horizontal stripes (banding). Caused by one or more detectors drifting away from their normal calibration — they record higher or lower values than others. Common in early Landsat MSS data. Effect: Every few lines (e.g., every 6th line) appear consistently brighter or darker. Soluti...

Vineesh V, Geography

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