NOC:Microwave Remote Sensing in Hydrology

Lecture 1 - Syllabus

Lecture 2 - History Of Microwave Remote Sensing

Lecture 3 - Overview Of Active and Passive Microwave Remote Sensing

Lecture 4 - Fundamentals Laws Of Remote Sensing

Lecture 5 - Tutorial 1: Python Programming From Beginner Perspective

Lecture 6 - Scattering Of Microwaves

Lecture 7 - Synthetic Aperture Radars - Basics

Lecture 8 - Sar Image Processing - Fundamental Terminologies

Lecture 9 - Working With Sar Imagery

Lecture 10 - Understanding Radar Equation

Lecture 11 - Tutorial 2 : Exploring Alos Palsar Data In Python

Lecture 12 - Understanding Radar Imagery

Lecture 13 - Tutorial 3: Introduction To SNAP

Lecture 14 - Doppler Shift

Lecture 15 - Speckle

Lecture 16 - Speckle - How To Handle

Lecture 17 - Tutorial 4 Part 1: Plotting In 1 D Using Python

Lecture 18 - Tutorial 4 Part 2: Plotting In 2 D Using Python

Lecture 19 - Tutorial 4 Part 3: Statistics Using Python

Lecture 20 - Tutorial 4 Part 4: Hypothesis Tesing Using Python

Lecture 21 - Sar Image Pre Processing

Lecture 22 - Sar Image Texture

Lecture 23 - Texture For Image Classification

Lecture 24 - Polarization

Lecture 25 - Tutorial 5 Part 1: Speckle Filtering Using Python

Lecture 26 - Tutorial 5 Part 2: Speckle Filtering Using Python Using Gaussian Filter

Lecture 27 - Numerical On Radar Remote Sensing

Lecture 28 - Numerical On Radar Remote Sensing

Lecture 29 - Image Classification - Basics

Lecture 30 - Supervised Classification

Lecture 31 - Maximum Likelihood Classification

Lecture 32 - Tutorial 6 Part 1: Sar Image Pre-processing

Lecture 33 - Tutorial 6 Part 2: Maximum Likelihood Classification In Snap

Lecture 34 - Unsupervised Classification And Accuracy Assessment

Lecture 35 - Fuzzy Classification

Lecture 36 - Tutorial 7 Part 1: Working With Grace Data In Python

Lecture 37 - Tutorial 7 Part 2: Altimetry Data In Python

Lecture 38 - Tutorial 7 Part 3: Swot Mission For Altimetry

Lecture 39 - Radars In Hydrology

Lecture 40 - Applications Of Radar Remote Sensing In Hydrology

Lecture 41 - Doppler Weather Radar

Lecture 42 - Tutorial 8 Part 1: Doppler Weather Radar Data Visualization And Precipitation Estimation

Lecture 43 - Tutorial 8 Part 2: Doppler Weather Radar Data Visualization And Precipitation Estimation

Lecture 44 - Radar Altimetry

Lecture 45 - Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing

Lecture 46 - Tutorial 9: Handling Passive Microwave Obsevations

Lecture 47 - Fundamentals Of Passive Microwave Remote Sensing - Part 1

Lecture 48 - Fundamentals Of Passive Microwave Remote Sensing - Part 2

Lecture 49 - Applications Of Passive Microwave Remote Sensing In Hydrology

Lecture 50 - Passive Microwave Radiometers And Their Applications

Lecture 51 - Tutorial 10: Processing Satellite Precipitation Data Using Python

Lecture 52 - Introduction To The Basics Of Sar Intereferometry

Lecture 53 - Sar Interferometry (Insar) And Applications

Lecture 54 - Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's

Lecture 55 - Tutorial 11: Sar Interferometry Processing Using Snaphu

Lecture 56 - Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing

Lecture 57 - Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model

Lecture 58 - Tutorial 12 Part 3: Introductory Tutorial On Vic Hydrological Model