Learn · Microwave Remote Sensing in Hydrology

Lecture 1 of 59week-01

Lecture 01: Syllabus

Prof. J. Indu · IIT Bombay

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From
Microwave Remote Sensing in Hydrology, IIT Bombay (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures

  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
  6. M1L4: Scattering Of Microwaves Video
  7. M2L1: Synthetic Aperture Radars - Basics Video
  8. M2L2: Sar Image Processing - Fundamental Terminologies Video
  9. M2L3: Working With Sar Imagery Video
  10. M2L4: Understanding Radar Equation Video
  11. Tutorial 02 : Exploring Alos Palsar Data In Python Video
  12. M2L5: Understanding Radar Imagery Video
  13. Tutorial 03: Introduction To SNAP Video
  14. M2L6: Doppler Shift Video
  15. M2L7: Speckle Video
  16. M2L8: Speckle- How To Handle Video
  17. Tutorial 04 Part 01: Plotting In 1 D Using Python Video
  18. Tutorial 04 Part 02: Plotting In 2 D Using Python Video
  19. Tutorial 04 Part 03: Statistics Using Python Video
  20. Tutorial 04 Part 04: Hypothesis Tesing Using Python Video
  21. M2L9: Sar Image Pre Processing Video
  22. M2L10: Sar Image Texture Video
  23. M2L11: Texture For Image Classification Video
  24. M2L12: Polarization Video
  25. Tutorial 05 Part 01: Speckle Filtering Using Python Video
  26. Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter Video
  27. M2NU1: Numerical On Radar Remote Sensing Video
  28. M2NU2: Numerical On Radar Remote Sensing Video
  29. M3L1: Image Classification - Basics Video
  30. M3L2: Supervised Classification Video
  31. M3L3: Maximum Likelihood Classification Video
  32. Tutorial 06 Part 01: Sar Image Pre-processing Video
  33. Tutorial 06 Part 02: Maximum Likelihood Classification In Snap Video
  34. M3L4: Unsupervised Classification And Accuracy Assessment Video
  35. M3L5: Fuzzy Classification Video
  36. Tutorial 07 Part 01: Working With Grace Data In Python Video
  37. Tutorial 07 Part 02: Altimetry Data In Python Video
  38. Tutorial 07 Part 03: Swot Mission For Altimetry Video
  39. M4L1: Radars In Hydrology Video
  40. M4L2: Applications Of Radar Remote Sensing In Hydrology Video
  41. M4L3: Doppler Weather Radar Video
  42. Tutorial 08 Part01: Doppler Weather Radar Data Visualization And Precipitation Estimation Video
  43. Tutorial 08 Part 02: Doppler Weather Radar Data Visualization And Precipitation Estimation Video
  44. M4L4: Radar Altimetry Video
  45. M4L5: Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing Video
  46. Tutorial 09: Handling Passive Microwave Obsevations Video
  47. M5L1: Fundamentals Of Passive Microwave Remote Sensing - Part 1 Video
  48. M5L2: Fundamentals Of Passive Microwave Remote Sensing - Part 2 Video
  49. M5L3: Applications Of Passive Microwave Remote Sensing In Hydrology Video
  50. M5L4: Passive Microwave Radiometers And Their Applications Video
  51. Tutorial 10: Processing Satellite Precipitation Data Using Python Video
  52. M6L1: Introduction To The Basics Of Sar Intereferometry Video
  53. M6L2: Sar Interferometry (Insar) And Applications Video
  54. M6L3: Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's Video
  55. Tutorial 11: Sar Interferometry Processing Using Snaphu Video
  56. Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing Video
  57. Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model Video
  58. Tutorial 12 Part 3 : Introductory Tutorial On Vic Hydrological Model Video
  59. Live Session 21-04-2022 Video