Fundamentals of Remote sensing and its applications

Description

Take the next step in your career! Whether you’re an up-and-coming professional, an experienced executive, aspiring manager, budding Professional. This course is an opportunity to sharpen your Basics about Remote sensing, increase your efficiency for professional growth and make a positive and lasting impact in the business or organization.

With this course as your guide, you learn how to:

● All the basic functions and skills required Basics of Remote sensing.

● Transform Objectives, Introduction Meaning and types of Remote sensing, interest in Remote sensing knowledge and also its practical aspects.

● Get access to recommended templates and formats for the detail’s information related to basics of Remote Sensing.

● Invest in yourself today and reap the benefits for years to come

The Frameworks of the Course

● Engaging video lectures, case studies, assessment, downloadable resources and interactive exercises. This course is created to learn the Objectives, Introduction Meaning and types of remote sensing, Parties interested in remote sensing.

● The framework is superior to existing inversion methods because it takes the special environmental characteristics of the region and incorporates field monitoring data, remote sensing data, multiple data processing methods, and machine learning algorithms.

● The course includes multiple Case studies, resources like formats-templates-worksheets-reading materials, quizzes, self-assessment, film study and assignments to nurture and upgrade your Basics of Modern remote sensing and advantages and disadvantages in detail.

In the first part of the course, you’ll learn the details of learn the Objectives, Introduction Meaning and types of Remote sensing, Elements of Remote sensing, Data collection with clear concepts and also practical examples.

In the middle part of the course, you’ll learn about Resolution of Remote sensing, principles of remote sensing and also the detailed history of remote sensing which have a great importance in modern Technology.

In the final part of the course, you’ll know about Application of Remote sensing with practical examples, Advantages and Disadvantages of Remote Sensing and also about the future of remote sensing.

Course Content:

Part 1

Introduction and Study Plan

● Introduction and know your Instructor

● Study Plan and Structure of the Course

1. Remote Sensing

1.1. Introduction

2. Types of Remote Sensing

2.1. Active Remote Sensing

2.2. Passive Remote Sensing

3. Elements of Remote Sensing

3.1. Energy Source

3.2. Radiation and the atmosphere

3.3. Interaction with the target

3.4. Recording the energy by sensors

3.5. Transmission, reception and processing

3.6. Interpretation and analysis

3.7. Application

4. Data Connection

4.1. Multistage Remote Sensing Data Connection

4.2. Satellite Based Remote Sensing

4.3. Aerial Surveying

4.4. Ground based Remote Sensing

4.5. Stereo pair Remote Sensing

5. Resolutions In Remote Sensing

5.1. Spatial Resolution

5.2. Spectral Resolution

5.3. Temporal Resolution

5.4. Radiometric Resolution

6. Principles Of Remote Sensing

6.1. Introduction

6.2. Definition and Scope

6.3. Electromagnetic waves

6.4. Electromagnetic Spectrum

6.5. Radiation Terminology

6.6. Radiation Laws

6.7. Black Body Radiation

6.8. Interactions with the Atmosphere

6.9. Atmospheric Windows

6.10. Interactions with the Earth’s Surface

7. History of Remote Sensing

7.1. Introduction

8. Application of Remote Sensing

8.1. Agriculture

8.2. Forestry

8.3. Weather Forecasting

8.4. Urban Planning

8.5. Hydrology

8.6. Geology

9. Advantages and Disadvantages of Remote Sensing

9.1. Introduction

10. Future of Remote Sensing

10.1. Introduction

Assignment : Application of Remote Sensing

Objective: The objectives of applying remote sensing across various fields are diverse and tailored to specific needs and goals. Remote sensing provides critical data and insights that enhance decision-making, planning, and management.

Project: Agricultural Crop Health Monitoring System

Objective: To create a system that uses satellite imagery to monitor crop health, detect diseases, and assess nutrient deficiencies. The project “Agricultural Crop Health Monitoring System” is used to monitor the environmental conditions like atmospheric temperature, atmospheric humidity, and soil moisture. Depending on the values of these factors the health of the crop can be determined.