Remote Sensing Book By Meenakshi Work Now
Remote Sensing: A Comprehensive Guide by Meenakshi Work
- Students: The book is suitable for undergraduate and graduate students in remote sensing, geography, environmental science, and related fields.
- Researchers: The book provides a comprehensive reference for researchers in remote sensing and related fields.
- Professionals: The book is a valuable resource for professionals working in remote sensing and related fields, including agriculture, forestry, urban planning, and environmental monitoring.
Key Features of the Book
Concise Introduction: At only 74 pages, it serves as a compact overview of the technology rather than a dense academic tome. 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.
For any student beginning their journey into geoinformatics, this book provides the necessary vocabulary and conceptual framework. It remains a highly recommended read for building a solid foundation before moving on to advanced research or software-specific training. Remote Sensing: A Comprehensive Guide by Meenakshi Work
Fundamental Topic Coverage: It covers the essential stages of remote sensing, including: Electromagnetic radiation (EMR) and energy interactions. Satellite orbits, sensors, and data transmission. Image interpretation and digital image processing.
Satellite & Sensor Systems: Details on satellite orbits and how data is received and processed. Students : The book is suitable for undergraduate
6. Sample Exam Questions (Answered via this book)
Q1. Define remote sensing. Explain the stages of remote sensing with a block diagram.
Q2. Differentiate between spatial, spectral, radiometric and temporal resolution.
Q3. What are atmospheric windows? Why are they important?
Q4. Explain supervised and unsupervised classification. Compare their advantages/disadvantages.
Q5. Write a note on applications of remote sensing in agriculture and forestry.