Remote Sensing by Meenakshi Kumar is widely regarded as a foundational text for students and professionals entering the field of geoinformatics. The book balances complex physical principles with practical applications, making it a staple in academic curricula across engineering and earth science departments.
| Topic | Supplement | |-------|------------| | Physics of remote sensing | Remote Sensing and Image Interpretation – Lillesand, Kiefer | | Digital image processing | Intro to Remote Sensing – Campbell & Wynne | | Indian satellites | ISRO annual reports / NRSC website | | Practical exercises | QGIS for Remote Sensing – online tutorials | remote sensing book by meenakshi work
Beyond the hardware, the book delves into digital image processing. This section is crucial for anyone looking to turn raw data into actionable maps. Kumar outlines the steps for image rectification, enhancement, and classification. Whether you are performing a simple "NDVI" vegetation check or complex urban mapping, the book provides the mathematical logic behind the software tools used today. Remote Sensing by Meenakshi Kumar is widely regarded
The book is a thesis or departmental manual – If "Meenakshi" wrote a book as part of a university publication (e.g., for IGNOU, ISRO, or a state agriculture university), it may not be peer-reviewed as a "paper." Recommended Supplements (if the book lacks detail on
One of the book’s primary strengths is its detailed breakdown of satellite systems. It covers the evolution of the technology, from early aerial photography to modern high-resolution multispectral and hyperspectral sensors. Readers gain a clear understanding of spatial, spectral, temporal, and radiometric resolutions, which are the four pillars used to evaluate any satellite image's quality.
Availability: It is widely used as a supplementary educational resource and is available through the NCERT Book Catalog. About the Author: Meenakshi Kumar
| Step | Action | |------|--------| | 1 | Read chapter 1–2 thoroughly – they are conceptual | | 2 | Make a table of sensors + resolutions + applications | | 3 | Practice drawing: spectral signature curves, satellite orbits (geostationary vs polar), scanner diagrams | | 4 | Solve previous year’s exam questions (DU, BHU, NET, etc.) | | 5 | Use free software (QGIS, SNAP) to apply what you read |