Learn · NPTEL

Course10510121359 lectures

Microwave Remote Sensing in Hydrology

Prof. J. Indu · IIT Bombay

Start with lecture 1 At NPTEL

Lectures

week-01

  1. Lecture 01: Syllabus Video
  2. M1L1: History Of Microwave Remote Sensing Video
  3. M1L2: Overview Of Active And Passive Microwave Remote Sensing Video
  4. M1L3: Fundamentals Laws Of Remote Sensing Video
  5. Tutorial 01: Python Programming From Beginner Perspective Video

week-02

  1. M1L4: Scattering Of Microwaves Video
  2. M2L1: Synthetic Aperture Radars - Basics Video
  3. M2L2: Sar Image Processing - Fundamental Terminologies Video
  4. M2L3: Working With Sar Imagery Video
  5. M2L4: Understanding Radar Equation Video

week-03

  1. Tutorial 02 : Exploring Alos Palsar Data In Python Video
  2. M2L5: Understanding Radar Imagery Video
  3. Tutorial 03: Introduction To SNAP Video

week-04

  1. M2L6: Doppler Shift Video
  2. M2L7: Speckle Video
  3. M2L8: Speckle- How To Handle Video
  4. Tutorial 04 Part 01: Plotting In 1 D Using Python Video
  5. Tutorial 04 Part 02: Plotting In 2 D Using Python Video

week-05

  1. Tutorial 04 Part 03: Statistics Using Python Video
  2. Tutorial 04 Part 04: Hypothesis Tesing Using Python Video
  3. M2L9: Sar Image Pre Processing Video
  4. M2L10: Sar Image Texture Video
  5. M2L11: Texture For Image Classification Video

week-06

  1. M2L12: Polarization Video
  2. Tutorial 05 Part 01: Speckle Filtering Using Python Video
  3. Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter Video
  4. M2NU1: Numerical On Radar Remote Sensing Video
  5. M2NU2: Numerical On Radar Remote Sensing Video

week-07

  1. M3L1: Image Classification - Basics Video
  2. M3L2: Supervised Classification Video
  3. M3L3: Maximum Likelihood Classification Video
  4. Tutorial 06 Part 01: Sar Image Pre-processing Video
  5. Tutorial 06 Part 02: Maximum Likelihood Classification In Snap Video

week-08

  1. M3L4: Unsupervised Classification And Accuracy Assessment Video
  2. M3L5: Fuzzy Classification Video
  3. Tutorial 07 Part 01: Working With Grace Data In Python Video
  4. Tutorial 07 Part 02: Altimetry Data In Python Video
  5. Tutorial 07 Part 03: Swot Mission For Altimetry Video

week-09

  1. M4L1: Radars In Hydrology Video
  2. M4L2: Applications Of Radar Remote Sensing In Hydrology Video
  3. M4L3: Doppler Weather Radar Video
  4. Tutorial 08 Part01: Doppler Weather Radar Data Visualization And Precipitation Estimation Video
  5. Tutorial 08 Part 02: Doppler Weather Radar Data Visualization And Precipitation Estimation Video

week-10

  1. M4L4: Radar Altimetry Video
  2. M4L5: Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing Video
  3. Tutorial 09: Handling Passive Microwave Obsevations Video
  4. M5L1: Fundamentals Of Passive Microwave Remote Sensing - Part 1 Video
  5. M5L2: Fundamentals Of Passive Microwave Remote Sensing - Part 2 Video

week-11

  1. M5L3: Applications Of Passive Microwave Remote Sensing In Hydrology Video
  2. M5L4: Passive Microwave Radiometers And Their Applications Video
  3. Tutorial 10: Processing Satellite Precipitation Data Using Python Video
  4. M6L1: Introduction To The Basics Of Sar Intereferometry Video

week-12

  1. M6L2: Sar Interferometry (Insar) And Applications Video
  2. M6L3: Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's Video
  3. Tutorial 11: Sar Interferometry Processing Using Snaphu Video
  4. Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing Video
  5. Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model Video
  6. Tutorial 12 Part 3 : Introductory Tutorial On Vic Hydrological Model Video

Live Session

  1. Live Session 21-04-2022 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Bombay
Department
Civil Engineering
Teacher
Prof. J. Indu
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed