Microwave Remote Sensing in Hydrology

Course Feature

Cost

Free
Provider

Swayam
Certificate

Paid Certification
Language

English
Start Date

22nd Jan, 2023
Learners

No Information
Duration

No Information
Instructor

/

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2.0

29 Ratings

Learn the fundamentals of microwave remote sensing in hydrology with this comprehensive course. Discover how to process microwave images using open source programming languages like Python. Gain the skills to interpret and decipher complex scientific and policy problems in the water arena. This course is perfect for researchers, undergraduate and postgraduate engineering students, professionals in remote sensing industries, and academicians working in water resources and hydrology. Recognized and valued by firms and companies with remote sensing and GIS applications, this course offers high-quality training for anyone interested in microwave remote sensing.

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Course Overview

❗The content presented here is sourced directly from Swayam platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 26th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
This course shall explain the fundamentals of microwave remote sensing in passive and active domain with application in civil engineering (hydrology meteorology) An emphasis is made to teach microwave image processing through open source programming languages like python Further objective of this course is to make a student capable to interpreting and deciphering the microwave data for complex scientific and policy problems in the water arena all of which require high quality trainingINTENDED AUDIENCE:Researchers UG and PG students of Engineering Remote Sensing Industries working in Microwave remote sensing environment and climate domain Academicians working in Water resources and hydrology PREREQUISITES:NilINDUSTRY SUPPORT:RMSI ERDAS and similarly all firms&companies which have a remote sensing and GIS applications wing shall recognize&value this course

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?During this course on Microwave Remote Sensing in Hydrology, students will acquire the following skills and knowledge:
1. Understanding the fundamentals of microwave remote sensing in both passive and active domains.
2. Knowledge of the application of microwave remote sensing in civil engineering, specifically in hydrology and meteorology.
3. Proficiency in microwave image processing using open source programming languages like Python.
4. Ability to interpret and decipher microwave data for complex scientific and policy problems in the water arena.
5. Training in high-quality data analysis and interpretation techniques specific to microwave remote sensing.
6. Familiarity with the use of remote sensing and GIS applications in the water resources and hydrology industry.
7. Recognition and value from remote sensing and GIS companies, such as RMSI and ERDAS, and other firms with a remote sensing and GIS applications wing.
This course is intended for researchers, undergraduate and postgraduate students of engineering, professionals working in the microwave remote sensing environment and climate domain, and academicians working in water resources and hydrology. There are no prerequisites for this course.

Who will benefit from this course?
The intended audience for this course includes researchers, undergraduate and postgraduate students of engineering, remote sensing industries working in the microwave remote sensing environment and climate domain, academicians working in water resources and hydrology, and professionals in firms and companies that have a remote sensing and GIS applications wing.

Specific professions that will benefit from this course include civil engineers specializing in hydrology and meteorology, remote sensing specialists, water resource managers, and policymakers in the water arena. The course aims to provide high-quality training in microwave remote sensing and image processing using open-source programming languages like Python. It will enable students and professionals to interpret and decipher microwave data for complex scientific and policy problems related to water resources.

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