Lecture 01: Syllabus

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M1L1: History Of Microwave Remote Sensing

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M1L2: Overview Of Active And Passive Microwave Remote Sensing

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M1L3: Fundamentals Laws Of Remote Sensing

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Tutorial 01: Python Programming From Beginner Perspective

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M1L4: Scattering Of Microwaves

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M2L1: Synthetic Aperture Radars - Basics

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M2L2: Sar Image Processing - Fundamental Terminologies

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M2L3: Working With Sar Imagery

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M2L4: Understanding Radar Equation

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Tutorial 02 : Exploring Alos Palsar Data In Python

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M2L5: Understanding Radar Imagery

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Tutorial 03: Introduction To SNAP

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M2L6: Doppler Shift

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M2L7: Speckle

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M2L8: Speckle- How To Handle

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Tutorial 04 Part 01: Plotting In 1 D Using Python

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Tutorial 04 Part 02: Plotting In 2 D Using Python

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Tutorial 04 Part 03: Statistics Using Python

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Tutorial 04 Part 04: Hypothesis Tesing Using Python

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M2L9: Sar Image Pre Processing

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M2L10: Sar Image Texture

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M2L11: Texture For Image Classification

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M2L12: Polarization

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Tutorial 05 Part 01: Speckle Filtering Using Python

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Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter

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M2NU1: Numerical On Radar Remote Sensing

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M2NU2: Numerical On Radar Remote Sensing

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M3L1: Image Classification - Basics

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M3L2: Supervised Classification

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M3L3: Maximum Likelihood Classification

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Tutorial 06 Part 01: Sar Image Pre-processing

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Tutorial 06 Part 02: Maximum Likelihood Classification In Snap

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M3L4: Unsupervised Classification And Accuracy Assessment

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M3L5: Fuzzy Classification

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Tutorial 07 Part 01: Working With Grace Data In Python

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Tutorial 07 Part 02: Altimetry Data In Python

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Tutorial 07 Part 03: Swot Mission For Altimetry

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M4L1: Radars In Hydrology

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M4L2: Applications Of Radar Remote Sensing In Hydrology

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M4L3: Doppler Weather Radar

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Tutorial 08 Part01: Doppler Weather Radar Data Visualization And Precipitation Estimation

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Tutorial 08 Part 02: Doppler Weather Radar Data Visualization And Precipitation Estimation

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M4L4: Radar Altimetry

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M4L5: Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing

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Tutorial 09: Handling Passive Microwave Obsevations

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M5L1: Fundamentals Of Passive Microwave Remote Sensing - Part 1

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M5L2: Fundamentals Of Passive Microwave Remote Sensing - Part 2

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M5L3: Applications Of Passive Microwave Remote Sensing In Hydrology

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M5L4: Passive Microwave Radiometers And Their Applications

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Tutorial 10: Processing Satellite Precipitation Data Using Python

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M6L1: Introduction To The Basics Of Sar Intereferometry

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M6L2: Sar Interferometry (Insar) And Applications

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M6L3: Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's

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Tutorial 11: Sar Interferometry Processing Using Snaphu

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Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing

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Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model

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Tutorial 12 Part 3 : Introductory Tutorial On Vic Hydrological Model

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